From a6538306b08f8b1748ea1046971f8f6f35b9c090 Mon Sep 17 00:00:00 2001
From: M1thieu <18742831+M1thieu@users.noreply.github.com>
Date: Tue, 28 Oct 2025 20:31:02 +0100
Subject: [PATCH 01/15] Document systems aggregator

---
 crates/systems/README.md | 31 ++++++++++++++++++++++++++++++-
 1 file changed, 30 insertions(+), 1 deletion(-)

diff --git a/crates/systems/README.md b/crates/systems/README.md
index 0a111f9..8ae4daf 100644
--- a/crates/systems/README.md
+++ b/crates/systems/README.md
@@ -1,3 +1,32 @@
 # Systems
 
-High-level systems including AI, physics solvers, acoustics, and save systems.
\ No newline at end of file
+The `systems` workspace crate bundles LP's high-level simulation layers
+(decision-making, acoustics, future MPM integration, and persistence) so they
+can be added to a Bevy app with a single plugin. It sits on top of the domain
+crates (`energy`, `forces`, `information`, `matter`) and takes care of wiring and
+scheduling.
+
+## Modules
+
+- `ai` - utility-driven agency used by LP's creatures and actors.
+- `acoustics` - scaffold for physics-based sound that will hook into matter and
+  wave simulation.
+- `mpm` - placeholder for the upcoming Material Point Method solver.
+- `save_system` - shared save / load infrastructure.
+
+Each module exposes a `prelude` for selective use, while
+`systems::SystemsPlugin` pulls everything together.
+
+## Quick start
+
+```rust
+use bevy::prelude::*;
+use systems::prelude::*;
+
+fn main() {
+    App::new()
+        .add_plugins(DefaultPlugins)
+        .add_plugins(SystemsPlugin::default())
+        .run();
+}
+```

From 5fbd3e7794ac66de6b3a7633e055352ae9345ffd Mon Sep 17 00:00:00 2001
From: M1thieu <18742831+M1thieu@users.noreply.github.com>
Date: Tue, 28 Oct 2025 20:42:03 +0100
Subject: [PATCH 02/15] Rename pbmpm systems crate to mpm

---
 crates/systems/Cargo.toml                     |  2 +-
 crates/systems/{pbmpm => mpm}/Cargo.toml      |  2 +-
 crates/systems/{pbmpm => mpm}/src/grid.rs     |  0
 crates/systems/{pbmpm => mpm}/src/lib.rs      | 12 ++++++------
 crates/systems/{pbmpm => mpm}/src/particle.rs |  0
 crates/systems/{pbmpm => mpm}/src/solver.rs   |  0
 crates/systems/{pbmpm => mpm}/src/transfer.rs |  0
 crates/systems/src/lib.rs                     |  6 +++---
 8 files changed, 11 insertions(+), 11 deletions(-)
 rename crates/systems/{pbmpm => mpm}/Cargo.toml (91%)
 rename crates/systems/{pbmpm => mpm}/src/grid.rs (100%)
 rename crates/systems/{pbmpm => mpm}/src/lib.rs (68%)
 rename crates/systems/{pbmpm => mpm}/src/particle.rs (100%)
 rename crates/systems/{pbmpm => mpm}/src/solver.rs (100%)
 rename crates/systems/{pbmpm => mpm}/src/transfer.rs (100%)

diff --git a/crates/systems/Cargo.toml b/crates/systems/Cargo.toml
index a335f94..33cf35d 100644
--- a/crates/systems/Cargo.toml
+++ b/crates/systems/Cargo.toml
@@ -7,6 +7,6 @@ description = "Core simulation infrastructure components that manage and support
 [dependencies]
 bevy = "0.17"
 save_system = { path = "./save_system" }
-pbmpm = { path = "./pbmpm" }
+mpm = { path = "./mpm" }
 acoustics = { path = "./acoustics" }
 ai = { path = "./ai" }
diff --git a/crates/systems/pbmpm/Cargo.toml b/crates/systems/mpm/Cargo.toml
similarity index 91%
rename from crates/systems/pbmpm/Cargo.toml
rename to crates/systems/mpm/Cargo.toml
index 989ab5e..ed8f3c1 100644
--- a/crates/systems/pbmpm/Cargo.toml
+++ b/crates/systems/mpm/Cargo.toml
@@ -1,5 +1,5 @@
 [package]
-name = "pbmpm"
+name = "mpm"
 version = "0.1.0"
 edition = "2024"
 description = "Material Point Method implementation for simulating continuous materials"
diff --git a/crates/systems/pbmpm/src/grid.rs b/crates/systems/mpm/src/grid.rs
similarity index 100%
rename from crates/systems/pbmpm/src/grid.rs
rename to crates/systems/mpm/src/grid.rs
diff --git a/crates/systems/pbmpm/src/lib.rs b/crates/systems/mpm/src/lib.rs
similarity index 68%
rename from crates/systems/pbmpm/src/lib.rs
rename to crates/systems/mpm/src/lib.rs
index 6f01360..2b7df7c 100644
--- a/crates/systems/pbmpm/src/lib.rs
+++ b/crates/systems/mpm/src/lib.rs
@@ -5,22 +5,22 @@ pub mod particle;
 pub mod solver;
 pub mod transfer;
 
-/// Plugin for Point-Based Material Point Method physics solver
+/// Plugin for the Material Point Method physics solver
 #[derive(Default)]
-pub struct PBMPMPlugin;
+pub struct MPMPlugin;
 
-impl Plugin for PBMPMPlugin {
+impl Plugin for MPMPlugin {
     fn build(&self, _app: &mut App) {
-        // TODO: Will integrate PBMPM systems when implementation is ready
+        // TODO: Will integrate MPM systems when implementation is ready
         // Plugin structure prepared for upcoming development
     }
 }
 
-/// The PBMPM prelude.
+/// The MPM prelude.
 ///
 /// This includes the most common types in this crate, re-exported for your convenience.
 pub mod prelude {
-    pub use super::PBMPMPlugin;
+    pub use super::MPMPlugin;
 
     // TODO: Export main types when implementation is complete
     // pub use crate::grid::*;
diff --git a/crates/systems/pbmpm/src/particle.rs b/crates/systems/mpm/src/particle.rs
similarity index 100%
rename from crates/systems/pbmpm/src/particle.rs
rename to crates/systems/mpm/src/particle.rs
diff --git a/crates/systems/pbmpm/src/solver.rs b/crates/systems/mpm/src/solver.rs
similarity index 100%
rename from crates/systems/pbmpm/src/solver.rs
rename to crates/systems/mpm/src/solver.rs
diff --git a/crates/systems/pbmpm/src/transfer.rs b/crates/systems/mpm/src/transfer.rs
similarity index 100%
rename from crates/systems/pbmpm/src/transfer.rs
rename to crates/systems/mpm/src/transfer.rs
diff --git a/crates/systems/src/lib.rs b/crates/systems/src/lib.rs
index 9b34f09..224207e 100644
--- a/crates/systems/src/lib.rs
+++ b/crates/systems/src/lib.rs
@@ -1,6 +1,6 @@
 pub use acoustics;
 pub use ai;
-pub use pbmpm;
+pub use mpm;
 pub use save_system;
 
 use bevy::prelude::*;
@@ -14,7 +14,7 @@ impl Plugin for SystemsPlugin {
         app.add_plugins((
             acoustics::AcousticsPlugin,
             ai::LPAIPlugin::default(),
-            pbmpm::PBMPMPlugin,
+            mpm::MPMPlugin,
             save_system::SaveSystemPlugin::default(),
         ));
     }
@@ -27,6 +27,6 @@ pub mod prelude {
     // Re-export all sub-crate preludes
     pub use acoustics::prelude::*;
     pub use ai::prelude::*;
-    pub use pbmpm::prelude::*;
+    pub use mpm::prelude::*;
     pub use save_system::prelude::*;
 }

From 63b3b6f574dcbb9a80e3be69a1a65cca543b9289 Mon Sep 17 00:00:00 2001
From: M1thieu <18742831+M1thieu@users.noreply.github.com>
Date: Wed, 29 Oct 2025 02:10:24 +0100
Subject: [PATCH 03/15] Make gravitational constant configurable

---
 crates/forces/src/core/gravity.rs | 58 ++++++++++++++++++++++---------
 crates/forces/src/core/mod.rs     |  6 ++--
 examples/basic_forces.rs          |  2 +-
 3 files changed, 46 insertions(+), 20 deletions(-)

diff --git a/crates/forces/src/core/gravity.rs b/crates/forces/src/core/gravity.rs
index 378b9ac..33a979c 100644
--- a/crates/forces/src/core/gravity.rs
+++ b/crates/forces/src/core/gravity.rs
@@ -2,18 +2,35 @@ use super::newton_laws::{AppliedForce, Mass};
 use bevy::prelude::*;
 
 // Simulation constants
-pub const GRAVITATIONAL_CONSTANT: f32 = 0.1;
+pub const DEFAULT_GRAVITATIONAL_CONSTANT: f32 = 0.1;
 
 /// Resource for gravity simulation parameters
 #[derive(Resource, Clone, Debug)]
 pub struct GravityParams {
     /// Softening parameter to prevent singularities
     pub softening: f32,
+    /// Gravitational constant controlling attraction strength
+    pub gravitational_constant: f32,
 }
 
 impl Default for GravityParams {
     fn default() -> Self {
-        Self { softening: 5.0 }
+        Self {
+            softening: 5.0,
+            gravitational_constant: DEFAULT_GRAVITATIONAL_CONSTANT,
+        }
+    }
+}
+
+impl GravityParams {
+    pub fn with_softening(mut self, softening: f32) -> Self {
+        self.softening = softening;
+        self
+    }
+
+    pub fn with_gravitational_constant(mut self, gravitational_constant: f32) -> Self {
+        self.gravitational_constant = gravitational_constant;
+        self
     }
 }
 
@@ -268,6 +285,7 @@ pub fn calculate_gravitational_attraction(
     >,
 ) {
     let softening_squared = gravity_params.softening * gravity_params.softening;
+    let gravitational_constant = gravity_params.gravitational_constant;
 
     let sources: Vec<(Entity, Vec3, f32)> = query
         .iter()
@@ -286,7 +304,7 @@ pub fn calculate_gravitational_attraction(
                 let direction = source_pos - affected_pos;
                 let distance_squared = direction.length_squared();
                 let softened_distance_squared = distance_squared + softening_squared;
-                let force_magnitude = GRAVITATIONAL_CONSTANT * source_mass * affected_mass.value
+                let force_magnitude = gravitational_constant * source_mass * affected_mass.value
                     / softened_distance_squared;
                 force.force += direction.normalize() * force_magnitude;
             }
@@ -315,6 +333,8 @@ pub fn calculate_barnes_hut_attraction(
         .collect();
 
     let quadtree = spatial::Quadtree::from_bodies(&bodies);
+    let softening = gravity_params.softening;
+    let gravitational_constant = gravity_params.gravitational_constant;
 
     affected_query
         .par_iter_mut()
@@ -329,7 +349,8 @@ pub fn calculate_barnes_hut_attraction(
                 position,
                 &quadtree.root,
                 theta,
-                gravity_params.softening,
+                softening,
+                gravitational_constant,
             );
 
             force.force += force_vector;
@@ -341,6 +362,7 @@ pub fn calculate_barnes_hut_force(
     node: &spatial::QuadtreeNode,
     theta: f32,
     softening: f32,
+    gravitational_constant: f32,
 ) -> Vec3 {
     let softening_squared = softening * softening;
 
@@ -348,8 +370,8 @@ pub fn calculate_barnes_hut_force(
         let direction = node.mass_properties.center_of_mass - affected_position;
         let distance_squared = direction.length_squared();
         let softened_distance_squared = distance_squared + softening_squared;
-        let force_magnitude =
-            GRAVITATIONAL_CONSTANT * node.mass_properties.total_mass / softened_distance_squared;
+        let force_magnitude = gravitational_constant * node.mass_properties.total_mass
+            / softened_distance_squared;
         return direction.normalize() * force_magnitude;
     }
 
@@ -364,12 +386,10 @@ pub fn calculate_barnes_hut_force(
                 continue;
             }
 
-            total_force += {
-                let distance_squared = direction.length_squared();
-                let softened_distance_squared = distance_squared + softening_squared;
-                let force_magnitude = GRAVITATIONAL_CONSTANT * mass / softened_distance_squared;
-                direction.normalize() * force_magnitude
-            };
+            let softened_distance_squared = distance_squared + softening_squared;
+            let force_magnitude =
+                gravitational_constant * mass / softened_distance_squared;
+            total_force += direction.normalize() * force_magnitude;
         }
 
         return total_force;
@@ -377,14 +397,20 @@ pub fn calculate_barnes_hut_force(
 
     let mut total_force = Vec3::ZERO;
     for child_node in node.children.iter().flatten() {
-        total_force += calculate_barnes_hut_force(affected_position, child_node, theta, softening);
+        total_force += calculate_barnes_hut_force(
+            affected_position,
+            child_node,
+            theta,
+            softening,
+            gravitational_constant,
+        );
     }
 
     total_force
 }
 
 pub fn calculate_orbital_velocity(central_mass: f32, orbit_radius: f32) -> f32 {
-    (GRAVITATIONAL_CONSTANT * central_mass / orbit_radius).sqrt()
+    (DEFAULT_GRAVITATIONAL_CONSTANT * central_mass / orbit_radius).sqrt()
 }
 
 pub fn calculate_elliptical_orbit_velocity(
@@ -393,13 +419,13 @@ pub fn calculate_elliptical_orbit_velocity(
     eccentricity: f32,
     is_periapsis: bool,
 ) -> f32 {
-    let mu = GRAVITATIONAL_CONSTANT * central_mass;
+    let mu = DEFAULT_GRAVITATIONAL_CONSTANT * central_mass;
     let semimajor_axis = distance / (1.0 - eccentricity * if is_periapsis { 1.0 } else { -1.0 });
     (mu * (2.0 / distance - 1.0 / semimajor_axis)).sqrt()
 }
 
 pub fn calculate_escape_velocity(central_mass: f32, distance: f32) -> f32 {
-    (2.0 * GRAVITATIONAL_CONSTANT * central_mass / distance).sqrt()
+    (2.0 * DEFAULT_GRAVITATIONAL_CONSTANT * central_mass / distance).sqrt()
 }
 
 #[derive(Default)]
diff --git a/crates/forces/src/core/mod.rs b/crates/forces/src/core/mod.rs
index 3c9daa9..7fdae7e 100644
--- a/crates/forces/src/core/mod.rs
+++ b/crates/forces/src/core/mod.rs
@@ -7,9 +7,9 @@ pub mod newton_laws;
 pub mod prelude {
     // Re-export from gravity module
     pub use crate::core::gravity::{
-        GRAVITATIONAL_CONSTANT, GravityAffected, GravityParams, GravitySource, MassiveBody,
-        UniformGravity, calculate_elliptical_orbit_velocity, calculate_escape_velocity,
-        calculate_gravitational_attraction, calculate_orbital_velocity,
+        DEFAULT_GRAVITATIONAL_CONSTANT, GravityAffected, GravityParams, GravitySource,
+        MassiveBody, UniformGravity, calculate_elliptical_orbit_velocity,
+        calculate_escape_velocity, calculate_gravitational_attraction, calculate_orbital_velocity,
     };
 
     // Re-export from newton_laws module
diff --git a/examples/basic_forces.rs b/examples/basic_forces.rs
index 70fc2f2..079bb34 100644
--- a/examples/basic_forces.rs
+++ b/examples/basic_forces.rs
@@ -11,7 +11,7 @@ fn main() {
             ..default()
         }))
         .insert_resource(ClearColor(Color::srgb(0.0, 0.0, 0.1)))
-        .insert_resource(GravityParams { softening: 10.0 }) // Better softening value for stability
+        .insert_resource(GravityParams::default().with_softening(10.0)) // Better softening value for stability
         .add_systems(Startup, setup)
         .add_systems(
             Update,

From 5472e03239e111fb534bbf51a99dc8c17f3dd54f Mon Sep 17 00:00:00 2001
From: M1thieu <18742831+M1thieu@users.noreply.github.com>
Date: Wed, 29 Oct 2025 02:34:45 +0100
Subject: [PATCH 04/15] Make SystemsPlugin configurable

---
 crates/systems/src/lib.rs | 76 ++++++++++++++++++++++++++++++++++-----
 1 file changed, 68 insertions(+), 8 deletions(-)

diff --git a/crates/systems/src/lib.rs b/crates/systems/src/lib.rs
index 224207e..42fb309 100644
--- a/crates/systems/src/lib.rs
+++ b/crates/systems/src/lib.rs
@@ -4,19 +4,79 @@ pub use mpm;
 pub use save_system;
 
 use bevy::prelude::*;
+use save_system::save_system::SaveSettings;
 
 /// Systems domain plugin
-#[derive(Default)]
-pub struct SystemsPlugin;
+#[derive(Clone, Debug)]
+pub struct SystemsPlugin {
+    include_ai: bool,
+    include_acoustics: bool,
+    include_mpm: bool,
+    include_save: bool,
+    save_settings: SaveSettings,
+}
+
+impl Default for SystemsPlugin {
+    fn default() -> Self {
+        Self {
+            include_ai: true,
+            include_acoustics: true,
+            include_mpm: true,
+            include_save: true,
+            save_settings: SaveSettings::default(),
+        }
+    }
+}
+
+impl SystemsPlugin {
+    /// Enable or disable the AI systems.
+    pub fn with_ai(mut self, enabled: bool) -> Self {
+        self.include_ai = enabled;
+        self
+    }
+
+    /// Enable or disable acoustics systems.
+    pub fn with_acoustics(mut self, enabled: bool) -> Self {
+        self.include_acoustics = enabled;
+        self
+    }
+
+    /// Enable or disable the Material Point Method placeholder systems.
+    pub fn with_mpm(mut self, enabled: bool) -> Self {
+        self.include_mpm = enabled;
+        self
+    }
+
+    /// Enable or disable the save-system integration.
+    pub fn with_save_system(mut self, enabled: bool) -> Self {
+        self.include_save = enabled;
+        self
+    }
+
+    /// Provide custom save settings that will be forwarded to the save-system plugin.
+    pub fn with_save_settings(mut self, settings: SaveSettings) -> Self {
+        self.save_settings = settings;
+        self
+    }
+}
 
 impl Plugin for SystemsPlugin {
     fn build(&self, app: &mut App) {
-        app.add_plugins((
-            acoustics::AcousticsPlugin,
-            ai::LPAIPlugin::default(),
-            mpm::MPMPlugin,
-            save_system::SaveSystemPlugin::default(),
-        ));
+        if self.include_acoustics {
+            app.add_plugins(acoustics::AcousticsPlugin);
+        }
+
+        if self.include_ai {
+            app.add_plugins(ai::LPAIPlugin::default());
+        }
+
+        if self.include_mpm {
+            app.add_plugins(mpm::MPMPlugin);
+        }
+
+        if self.include_save {
+            app.add_plugins(save_system::SaveSystemPlugin::new(self.save_settings.clone()));
+        }
     }
 }
 

From 5bc35d744008e2323a1f05d80258c9b8e4fae566 Mon Sep 17 00:00:00 2001
From: M1thieu <18742831+M1thieu@users.noreply.github.com>
Date: Tue, 4 Nov 2025 16:42:01 +0100
Subject: [PATCH 05/15] Enhance AI relationship context handling

Preserve social history instead of overwriting, expose configurable personality inputs, embed fractal templates, and document SystemsPlugin configuration.
---
 .../information/src/fractals/data_loader.rs   |  6 +-
 crates/systems/README.md                      | 15 +++++
 crates/systems/ai/src/lib.rs                  |  3 +-
 crates/systems/ai/src/personality/mod.rs      |  8 ++-
 crates/systems/ai/src/personality/traits.rs   | 57 ++++++++++++++-----
 crates/systems/ai/src/relationships/social.rs | 48 +++++++++-------
 6 files changed, 93 insertions(+), 44 deletions(-)

diff --git a/crates/information/src/fractals/data_loader.rs b/crates/information/src/fractals/data_loader.rs
index 7d5c89d..3fd4009 100644
--- a/crates/information/src/fractals/data_loader.rs
+++ b/crates/information/src/fractals/data_loader.rs
@@ -1,5 +1,4 @@
 use serde::Deserialize;
-use std::fs;
 
 #[derive(Deserialize, Debug)]
 pub struct Parameters {
@@ -25,10 +24,7 @@ pub struct Template {
 
 /// Load a template from the fractals.json file
 pub fn load_template(template_name: &str) -> Result<Template, String> {
-    let file_content = fs::read_to_string("crates/information/src/fractals/fractals.json")
-        .map_err(|_| "Error: Could not read fractals.json".to_string())?;
-
-    let json: serde_json::Value = serde_json::from_str(&file_content)
+    let json: serde_json::Value = serde_json::from_str(include_str!("fractals.json"))
         .map_err(|_| "Error: Invalid JSON format in fractals.json".to_string())?;
 
     json["templates"]
diff --git a/crates/systems/README.md b/crates/systems/README.md
index 8ae4daf..ca6bfa7 100644
--- a/crates/systems/README.md
+++ b/crates/systems/README.md
@@ -30,3 +30,18 @@ fn main() {
         .run();
 }
 ```
+
+### Configuration
+
+`SystemsPlugin` can be customised before registration:
+
+```rust
+use systems::save_system::prelude::SaveSettings;
+
+let systems = SystemsPlugin::default()
+    .with_ai(true)
+    .with_acoustics(false)
+    .with_save_settings(SaveSettings::default().with_default_file("saves/slot_a.json"));
+
+app.add_plugins(systems);
+```
diff --git a/crates/systems/ai/src/lib.rs b/crates/systems/ai/src/lib.rs
index 6252717..5cbb17e 100644
--- a/crates/systems/ai/src/lib.rs
+++ b/crates/systems/ai/src/lib.rs
@@ -30,7 +30,8 @@ pub mod prelude {
 
     // Context-aware personality system
     pub use crate::personality::traits::{
-        ContextAwareUtilities, update_collective_influence, update_context_aware_utilities,
+        ContextAwareUtilities, PersonalityContextInputs, update_collective_influence,
+        update_context_aware_utilities,
     };
 }
 
diff --git a/crates/systems/ai/src/personality/mod.rs b/crates/systems/ai/src/personality/mod.rs
index ecb32a3..7f2095c 100644
--- a/crates/systems/ai/src/personality/mod.rs
+++ b/crates/systems/ai/src/personality/mod.rs
@@ -9,7 +9,9 @@ pub struct PersonalityPlugin;
 impl Plugin for PersonalityPlugin {
     fn build(&self, app: &mut App) {
         app.register_type::<traits::Personality>()
-            .register_type::<traits::Altruistic>();
+            .register_type::<traits::Altruistic>()
+            .register_type::<traits::ContextAwareUtilities>()
+            .register_type::<traits::PersonalityContextInputs>();
     }
 }
 
@@ -18,5 +20,7 @@ impl Plugin for PersonalityPlugin {
 /// This includes personality traits and related components.
 pub mod prelude {
     pub use crate::personality::PersonalityPlugin;
-    pub use crate::personality::traits::{Altruistic, Personality};
+    pub use crate::personality::traits::{
+        Altruistic, ContextAwareUtilities, Personality, PersonalityContextInputs,
+    };
 }
diff --git a/crates/systems/ai/src/personality/traits.rs b/crates/systems/ai/src/personality/traits.rs
index 5f53961..df78607 100644
--- a/crates/systems/ai/src/personality/traits.rs
+++ b/crates/systems/ai/src/personality/traits.rs
@@ -155,30 +155,57 @@ impl Default for ContextAwareUtilities {
     }
 }
 
+/// Optional context inputs that gameplay can supply to influence personality-driven utilities.
+#[derive(Component, Debug, Clone, Reflect)]
+pub struct PersonalityContextInputs {
+    /// Current energy or stamina level (0.0-1.0)
+    pub energy_level: f32,
+    /// Recent success metric (-1.0..=1.0) influencing confidence
+    pub recent_success: f32,
+    /// Environmental stress measure (0.0-1.0)
+    pub environmental_stress: f32,
+}
+
+impl Default for PersonalityContextInputs {
+    fn default() -> Self {
+        Self {
+            energy_level: 0.5,
+            recent_success: 0.0,
+            environmental_stress: 0.0,
+        }
+    }
+}
+
 /// System that updates personality utilities based on generic resource and environmental state
 pub fn update_context_aware_utilities(
     mut query: Query<(
         &Personality,
         &mut ContextAwareUtilities,
-        // TODO: Replace with trait-based resource system when available
-        // For now, use simple f32 values that can be populated by game-level integration
+        Option<&PersonalityContextInputs>,
     )>,
 ) {
-    for (personality, mut utilities) in &mut query {
-        // Default values - will be replaced by proper resource tracking
-        let energy_level = 0.5; // Default moderate energy
-        let recent_success = 0.0; // Default neutral success
-        let environmental_stress = 0.0; // Default no stress
+    for (personality, mut utilities, context_inputs) in &mut query {
+        let default_context = PersonalityContextInputs::default();
+        let context = context_inputs.unwrap_or(&default_context);
 
         // Update utilities with default context (to be enhanced later)
-        utilities.resource_competition =
-            calculate_contextual_resource_competition(personality, energy_level, recent_success);
-
-        utilities.competitive_behavior =
-            calculate_contextual_competitive_strength(personality, energy_level, recent_success);
-
-        utilities.stress_retreat =
-            calculate_contextual_stress_retreat(personality, energy_level, environmental_stress);
+        utilities.resource_competition = calculate_contextual_resource_competition(
+            personality,
+            context.energy_level,
+            context.recent_success,
+        );
+
+        utilities.competitive_behavior = calculate_contextual_competitive_strength(
+            personality,
+            context.energy_level,
+            context.recent_success,
+        );
+
+        utilities.stress_retreat = calculate_contextual_stress_retreat(
+            personality,
+            context.energy_level,
+            context.environmental_stress,
+        );
 
         utilities.cooperation = Score::new(personality.social_utility());
 
diff --git a/crates/systems/ai/src/relationships/social.rs b/crates/systems/ai/src/relationships/social.rs
index 69ea3f6..890b79f 100644
--- a/crates/systems/ai/src/relationships/social.rs
+++ b/crates/systems/ai/src/relationships/social.rs
@@ -70,29 +70,35 @@ impl SocialNetwork {
         strength: f32,
         current_tick: u64,
     ) {
-        let mut relationship = EntityRelationship {
-            strength: RelationshipStrength::new(strength),
-            relationship_type,
-            last_interaction_tick: current_tick,
-        };
+        let clamped_strength = Score::clamp_trait_value(strength);
+        let relationships = self.relationships.entry(target).or_default();
+
+        match relationships.entry(relationship_type) {
+            std::collections::hash_map::Entry::Occupied(mut existing_entry) => {
+                let relationship = existing_entry.get_mut();
+                let previous_strength = relationship.strength.value();
+                let time_since_last =
+                    current_tick.saturating_sub(relationship.last_interaction_tick) as f32;
+
+                // Lightly decay stale relationships before applying the new observation.
+                if time_since_last > 0.0 {
+                    let decay = (time_since_last / 1000.0).min(0.25);
+                    relationship.strength.adjust(-decay);
+                }
 
-        // If relationship already exists, update based on existing interaction history
-        if let Some(existing_relationship) = self
-            .relationships
-            .entry(target)
-            .or_default()
-            .get_mut(&relationship_type)
-        {
-            // Modify strength based on interaction frequency
-            relationship.strength.adjust(
-                (current_tick - existing_relationship.last_interaction_tick) as f32 / 1000.0,
-            );
+                // Blend prior strength with the latest observation to preserve history.
+                let blended_strength = previous_strength * 0.7 + clamped_strength * 0.3;
+                relationship.strength = RelationshipStrength::new(blended_strength);
+                relationship.last_interaction_tick = current_tick;
+            }
+            std::collections::hash_map::Entry::Vacant(entry) => {
+                entry.insert(EntityRelationship {
+                    strength: RelationshipStrength::new(clamped_strength),
+                    relationship_type,
+                    last_interaction_tick: current_tick,
+                });
+            }
         }
-
-        self.relationships
-            .entry(target)
-            .or_default()
-            .insert(relationship_type, relationship);
     }
 
     /// Query relationships with flexible filtering

From 7889f49fe3d8c7ca2996743eec58ac588f956afc Mon Sep 17 00:00:00 2001
From: M1thieu <18742831+M1thieu@users.noreply.github.com>
Date: Thu, 6 Nov 2025 01:56:22 +0100
Subject: [PATCH 06/15]   Add Utility smoothing & Threat Tracking to AI

- UtilitySmoothing: Component that smooths scorer outputs over time with continuation bonuses to prevent rapid action switching (thrashing)
- ThreatTracker: Tracks visible threats with distance-based severity, natural decay, and exponential panic calculation for fear-driven behaviors

Both components integrate seamlessly with existing scorer and perception systems.
---
 crates/systems/ai/src/core/mod.rs             |   4 +-
 crates/systems/ai/src/core/scorers.rs         |  76 ++++++++++
 crates/systems/ai/src/trackers/mod.rs         |   8 +-
 .../systems/ai/src/trackers/threat_tracker.rs | 141 ++++++++++++++++++
 4 files changed, 225 insertions(+), 4 deletions(-)
 create mode 100644 crates/systems/ai/src/trackers/threat_tracker.rs

diff --git a/crates/systems/ai/src/core/mod.rs b/crates/systems/ai/src/core/mod.rs
index 488d7e8..5acb995 100644
--- a/crates/systems/ai/src/core/mod.rs
+++ b/crates/systems/ai/src/core/mod.rs
@@ -24,7 +24,7 @@ pub mod prelude {
     // Scorers
     pub use crate::core::scorers::{
         AllOrNothing, EvaluatingScorer, FixedScore, MeasuredScorer, ProductOfScorers, Score,
-        ScorerBuilder, SumOfScorers, WinningScorer,
+        ScorerBuilder, SumOfScorers, UtilitySmoothing, WinningScorer,
     };
 
     // Thinkers (includes Action, Actor, etc.)
@@ -102,6 +102,7 @@ impl Plugin for LPAIPlugin {
             self.schedule.intern(),
             (AISet::Scorers, AISet::Thinkers, AISet::Actions).chain(),
         )
+        .register_type::<scorers::UtilitySmoothing>()
         .configure_sets(self.cleanup_schedule.intern(), AISet::Cleanup)
         // Add scorer systems
         .add_systems(
@@ -114,6 +115,7 @@ impl Plugin for LPAIPlugin {
                 scorers::product_of_scorers_system,
                 scorers::winning_scorer_system,
                 scorers::evaluating_scorer_system,
+                scorers::utility_smoothing_system,
             )
                 .in_set(AISet::Scorers),
         )
diff --git a/crates/systems/ai/src/core/scorers.rs b/crates/systems/ai/src/core/scorers.rs
index f055cd8..bbfff6d 100644
--- a/crates/systems/ai/src/core/scorers.rs
+++ b/crates/systems/ai/src/core/scorers.rs
@@ -913,3 +913,79 @@ impl ScorerBuilder for MeasuredScorerBuilder {
             });
     }
 }
+
+/// Component that smooths a scorer's output and applies a continuation bonus to reduce thrashing.
+#[derive(Component, Debug, Clone, Reflect)]
+#[reflect(Component)]
+pub struct UtilitySmoothing {
+    /// How quickly the smoothed value should respond to new inputs (0.0-1.0 per second).
+    pub response_rate: f32,
+    /// Additional weight applied based on recent history to favour continuing actions (0.0-1.0).
+    pub continuation_bonus: f32,
+    /// How fast the continuation effect decays per second (0.0-1.0).
+    pub continuation_decay: f32,
+    #[reflect(ignore)]
+    smoothed_value: f32,
+    #[reflect(ignore)]
+    momentum: f32,
+    #[reflect(ignore)]
+    initialised: bool,
+}
+
+impl UtilitySmoothing {
+    pub fn new(response_rate: f32, continuation_bonus: f32, continuation_decay: f32) -> Self {
+        Self {
+            response_rate: response_rate.clamp(0.0, 1.0),
+            continuation_bonus: continuation_bonus.clamp(0.0, 1.0),
+            continuation_decay: continuation_decay.clamp(0.0, 1.0),
+            smoothed_value: 0.0,
+            momentum: 0.0,
+            initialised: false,
+        }
+    }
+
+    fn response_alpha(&self, delta_secs: f32) -> f32 {
+        if self.response_rate <= 0.0 {
+            0.0
+        } else {
+            1.0 - (1.0 - self.response_rate).powf(delta_secs.max(0.0).min(1.0))
+        }
+    }
+
+    fn continuation_alpha(&self, delta_secs: f32) -> f32 {
+        if self.continuation_decay <= 0.0 {
+            0.0
+        } else {
+            1.0 - (1.0 - self.continuation_decay).powf(delta_secs.max(0.0).min(1.0))
+        }
+    }
+}
+
+/// System that applies smoothing to any scorer tagged with [`UtilitySmoothing`].
+pub fn utility_smoothing_system(
+    time: Res<Time>,
+    mut query: Query<(&mut Score, &mut UtilitySmoothing)>,
+) {
+    let delta = time.delta_secs();
+    for (mut score, mut smoothing) in &mut query {
+        let raw = score.value();
+
+        if !smoothing.initialised {
+            smoothing.smoothed_value = raw;
+            smoothing.momentum = raw;
+            smoothing.initialised = true;
+            continue;
+        }
+
+        let response_alpha = smoothing.response_alpha(delta);
+        smoothing.smoothed_value += response_alpha * (raw - smoothing.smoothed_value);
+
+        let continuation_alpha = smoothing.continuation_alpha(delta);
+        smoothing.momentum += continuation_alpha * (raw - smoothing.momentum);
+
+        let adjusted = (smoothing.smoothed_value
+            + smoothing.momentum * smoothing.continuation_bonus)
+            .clamp(0.0, 1.0);
+        score.set(adjusted);
+    }
+}
diff --git a/crates/systems/ai/src/trackers/mod.rs b/crates/systems/ai/src/trackers/mod.rs
index 1782e58..0916fcb 100644
--- a/crates/systems/ai/src/trackers/mod.rs
+++ b/crates/systems/ai/src/trackers/mod.rs
@@ -1,6 +1,7 @@
 pub mod base_tracker;
 pub mod needs_tracker;
 pub mod perception_tracker;
+pub mod threat_tracker;
 
 //TODO soon: pub mod relationship_tracker;
 
@@ -11,9 +12,9 @@ use bevy::prelude::*;
 pub struct TrackerPlugin;
 
 impl Plugin for TrackerPlugin {
-    fn build(&self, _app: &mut App) {
-        // Simple plugin - just makes trackers available
-        // Systems will be added later when we have proper integration
+    fn build(&self, app: &mut App) {
+        app.register_type::<threat_tracker::ThreatTracker>()
+            .add_systems(Update, threat_tracker::threat_tracker_system);
     }
 }
 
@@ -25,4 +26,5 @@ pub mod prelude {
     pub use crate::trackers::base_tracker::{EntityTracker, TrackedEntity, TrackingRelation};
     pub use crate::trackers::needs_tracker::NeedsTracker;
     pub use crate::trackers::perception_tracker::Perception;
+    pub use crate::trackers::threat_tracker::{threat_tracker_system, ThreatTracker};
 }
diff --git a/crates/systems/ai/src/trackers/threat_tracker.rs b/crates/systems/ai/src/trackers/threat_tracker.rs
new file mode 100644
index 0000000..ac163f0
--- /dev/null
+++ b/crates/systems/ai/src/trackers/threat_tracker.rs
@@ -0,0 +1,141 @@
+use crate::core::scorers::Score;
+use crate::prelude::AIModule;
+use bevy::prelude::*;
+use std::collections::HashMap;
+
+use super::perception_tracker::Perception;
+
+#[derive(Debug, Copy, Clone)]
+struct ThreatEntry {
+    severity: f32,
+    last_seen_time: f32,
+}
+
+/// Tracks recent threats seen by an entity and provides a panic utility.
+#[derive(Component, Debug, Clone, Reflect)]
+#[reflect(Component)]
+pub struct ThreatTracker {
+    #[reflect(ignore)]
+    threats: HashMap<Entity, ThreatEntry>,
+    /// Cached overall panic level (0.0-1.0).
+    pub panic_level: f32,
+    /// Sum of individual threat severities (0.0-1.0).
+    pub accumulated_threat: f32,
+    /// Severity decay applied per second.
+    pub decay_per_second: f32,
+    /// Time (in seconds) before completely forgetting unseen threats.
+    pub forget_after: f32,
+    #[reflect(ignore)]
+    last_update_time: Option<f32>,
+}
+
+impl Default for ThreatTracker {
+    fn default() -> Self {
+        Self::new(0.4, 6.0)
+    }
+}
+
+impl ThreatTracker {
+    pub fn new(decay_per_second: f32, forget_after: f32) -> Self {
+        Self {
+            threats: HashMap::new(),
+            panic_level: 0.0,
+            accumulated_threat: 0.0,
+            decay_per_second: decay_per_second.max(0.0),
+            forget_after: forget_after.max(0.0),
+            last_update_time: None,
+        }
+    }
+
+    fn decay_entries(&mut self, now: f32) {
+        if let Some(last) = self.last_update_time {
+            let delta = (now - last).max(0.0);
+            if delta > 0.0 && !self.threats.is_empty() {
+                let decay_amount = self.decay_per_second * delta;
+                self.threats.retain(|_, entry| {
+                    let time_since_seen = now - entry.last_seen_time;
+                    if time_since_seen > self.forget_after {
+                        return false;
+                    }
+
+                    let new_severity = (entry.severity - decay_amount).max(0.0);
+                    entry.severity = new_severity;
+                    new_severity > 0.01
+                });
+            }
+        }
+
+        self.last_update_time = Some(now);
+    }
+
+    fn register_threat(&mut self, entity: Entity, severity: f32, now: f32) {
+        let entry = self.threats.entry(entity).or_insert(ThreatEntry {
+            severity: 0.0,
+            last_seen_time: now,
+        });
+        entry.severity = entry.severity.max(severity.clamp(0.0, 1.0));
+        entry.last_seen_time = now;
+    }
+
+    fn recalculate(&mut self) {
+        if self.threats.is_empty() {
+            self.panic_level = 0.0;
+            self.accumulated_threat = 0.0;
+            return;
+        }
+
+        let mut total = 0.0;
+        let mut highest: f32 = 0.0;
+        for entry in self.threats.values() {
+            total += entry.severity;
+            highest = highest.max(entry.severity);
+        }
+
+        self.accumulated_threat = total.clamp(0.0, 4.0);
+        // Convert accumulated threat to a 0.0-1.0 panic using smooth saturation.
+        // TODO: Clamping to `highest` keeps panic elevated as long as any threat remains,
+        // even as the exponential would lower it. This prevents panic from dropping too quickly
+        // but may feel "sticky" will consider if panic should be allowed to drop below highest_threat.
+        self.panic_level = (1.0 - (-self.accumulated_threat).exp()).clamp(highest, 1.0);
+    }
+
+    /// Update this tracker using the current perception information.
+    pub fn update_from_perception(&mut self, perception: &Perception, now: f32) {
+        self.decay_entries(now);
+
+        if perception.detection_radius <= 0.0 {
+            self.recalculate();
+            return;
+        }
+
+        for (entity, _pos, distance) in &perception.visible_entities {
+            let severity = 1.0 - (distance / perception.detection_radius).clamp(0.0, 1.0);
+            if severity > 0.0 {
+                self.register_threat(*entity, severity, now);
+            }
+        }
+
+        self.recalculate();
+    }
+}
+
+impl AIModule for ThreatTracker {
+    fn update(&mut self) {
+        // Temporal decay is handled by [`update_from_perception`]; nothing to do per tick.
+    }
+
+    fn utility(&self) -> Score {
+        Score::new(self.panic_level)
+    }
+}
+
+/// Integrates [`ThreatTracker`] with [`Perception`] every frame.
+pub fn threat_tracker_system(
+    time: Res<Time>,
+    mut query: Query<(&Perception, &mut ThreatTracker)>,
+) {
+    let now = time.elapsed_secs();
+    for (perception, mut tracker) in &mut query {
+        tracker.update_from_perception(perception, now);
+    }
+}

From 799da2692763b1690803757cdead5ba00e0369ee Mon Sep 17 00:00:00 2001
From: M1thieu <18742831+M1thieu@users.noreply.github.com>
Date: Thu, 6 Nov 2025 12:53:41 +0100
Subject: [PATCH 07/15] Add configuration resources and threat tracker
 improvements

Config extraction:
- PersonalityConfig: social influence distance tuning
- GravityParams: Barnes-Hut algorithm parameters (depth, bodies per node)
- ThreatTrackerConfig: decay rate and forget timeout defaults
- SocialConfig: relationship decay time scale and blending weights

Fixes:
- Remove threat panic "sticky" floor, now decays naturally with accumulated threat
- Add HashMap capacity hints (EntityTracker, ThreatTracker, SocialNetwork)

Breaking API changes:
- SocialNetwork methods now require &SocialConfig parameter
- update_collective_influence() requires Res<PersonalityConfig> (Bevy auto-injects)
---
 crates/forces/src/core/gravity.rs             | 56 ++++++++++----
 crates/systems/ai/src/personality/mod.rs      |  7 +-
 crates/systems/ai/src/personality/traits.rs   | 32 +++++++-
 crates/systems/ai/src/relationships/mod.rs    |  8 +-
 crates/systems/ai/src/relationships/social.rs | 75 ++++++++++++++++++-
 .../systems/ai/src/trackers/base_tracker.rs   |  2 +-
 crates/systems/ai/src/trackers/mod.rs         |  8 +-
 .../systems/ai/src/trackers/threat_tracker.rs | 53 +++++++++++--
 8 files changed, 204 insertions(+), 37 deletions(-)

diff --git a/crates/forces/src/core/gravity.rs b/crates/forces/src/core/gravity.rs
index 33a979c..1dc4106 100644
--- a/crates/forces/src/core/gravity.rs
+++ b/crates/forces/src/core/gravity.rs
@@ -11,6 +11,10 @@ pub struct GravityParams {
     pub softening: f32,
     /// Gravitational constant controlling attraction strength
     pub gravitational_constant: f32,
+    /// Maximum depth for Barnes-Hut octree spatial partitioning
+    pub barnes_hut_max_depth: usize,
+    /// Maximum bodies per node before subdivision in Barnes-Hut algorithm
+    pub barnes_hut_max_bodies_per_node: usize,
 }
 
 impl Default for GravityParams {
@@ -18,6 +22,8 @@ impl Default for GravityParams {
         Self {
             softening: 5.0,
             gravitational_constant: DEFAULT_GRAVITATIONAL_CONSTANT,
+            barnes_hut_max_depth: 8,
+            barnes_hut_max_bodies_per_node: 8,
         }
     }
 }
@@ -32,6 +38,12 @@ impl GravityParams {
         self.gravitational_constant = gravitational_constant;
         self
     }
+
+    pub fn with_barnes_hut_params(mut self, max_depth: usize, max_bodies_per_node: usize) -> Self {
+        self.barnes_hut_max_depth = max_depth.max(1);
+        self.barnes_hut_max_bodies_per_node = max_bodies_per_node.max(1);
+        self
+    }
 }
 
 /// Component for uniform gravitational field (like on Earth's surface)
@@ -72,10 +84,6 @@ pub struct MassiveBody;
 mod spatial {
     use bevy::prelude::*;
 
-    // Algorithm parameters
-    const MAX_DEPTH: usize = 8;
-    const MAX_BODIES_PER_NODE: usize = 8;
-
     #[derive(Clone, Debug)]
     pub struct AABB {
         pub center: Vec2,
@@ -148,16 +156,20 @@ mod spatial {
         pub mass_properties: MassProperties,
         pub bodies: Vec<(Entity, Vec3, f32)>,
         pub children: [Option<Box<QuadtreeNode>>; 4],
+        pub max_depth: usize,
+        pub max_bodies_per_node: usize,
     }
 
     impl QuadtreeNode {
-        pub fn new(aabb: AABB, depth: usize) -> Self {
+        pub fn new(aabb: AABB, depth: usize, max_depth: usize, max_bodies_per_node: usize) -> Self {
             Self {
                 aabb,
                 depth,
                 mass_properties: MassProperties::new(),
                 bodies: Vec::new(),
                 children: [None, None, None, None],
+                max_depth,
+                max_bodies_per_node,
             }
         }
 
@@ -176,8 +188,8 @@ mod spatial {
         pub fn insert(&mut self, entity: Entity, position: Vec3, mass: f32) {
             self.mass_properties.add_body(position, mass);
 
-            if self.depth >= MAX_DEPTH
-                || (self.bodies.len() < MAX_BODIES_PER_NODE && self.children[0].is_none())
+            if self.depth >= self.max_depth
+                || (self.bodies.len() < self.max_bodies_per_node && self.children[0].is_none())
             {
                 self.bodies.push((entity, position, mass));
                 return;
@@ -188,6 +200,8 @@ mod spatial {
                     self.children[i] = Some(Box::new(QuadtreeNode::new(
                         self.aabb.get_quadrant_aabb(i),
                         self.depth + 1,
+                        self.max_depth,
+                        self.max_bodies_per_node,
                     )));
                 }
 
@@ -213,15 +227,23 @@ mod spatial {
     }
 
     impl Quadtree {
-        pub fn new(bounds: AABB) -> Self {
+        pub fn new(bounds: AABB, max_depth: usize, max_bodies_per_node: usize) -> Self {
             Self {
-                root: QuadtreeNode::new(bounds, 0),
+                root: QuadtreeNode::new(bounds, 0, max_depth, max_bodies_per_node),
             }
         }
 
-        pub fn from_bodies(bodies: &[(Entity, Vec3, f32)]) -> Self {
+        pub fn from_bodies(
+            bodies: &[(Entity, Vec3, f32)],
+            max_depth: usize,
+            max_bodies_per_node: usize,
+        ) -> Self {
             if bodies.is_empty() {
-                return Self::new(AABB::new(Vec2::ZERO, Vec2::new(1000.0, 1000.0)));
+                return Self::new(
+                    AABB::new(Vec2::ZERO, Vec2::new(1000.0, 1000.0)),
+                    max_depth,
+                    max_bodies_per_node,
+                );
             }
 
             let mut min_x = f32::MAX;
@@ -246,7 +268,11 @@ mod spatial {
             let half_size = Vec2::new((max_x - min_x) * 0.5, (max_y - min_y) * 0.5);
             let max_half_size = half_size.x.max(half_size.y);
 
-            let mut tree = Self::new(AABB::new(center, Vec2::splat(max_half_size)));
+            let mut tree = Self::new(
+                AABB::new(center, Vec2::splat(max_half_size)),
+                max_depth,
+                max_bodies_per_node,
+            );
 
             for &(entity, position, mass) in bodies {
                 tree.insert(entity, position, mass);
@@ -332,7 +358,11 @@ pub fn calculate_barnes_hut_attraction(
         .map(|(e, t, m)| (e, t.translation, m.value))
         .collect();
 
-    let quadtree = spatial::Quadtree::from_bodies(&bodies);
+    let quadtree = spatial::Quadtree::from_bodies(
+        &bodies,
+        gravity_params.barnes_hut_max_depth,
+        gravity_params.barnes_hut_max_bodies_per_node,
+    );
     let softening = gravity_params.softening;
     let gravitational_constant = gravity_params.gravitational_constant;
 
diff --git a/crates/systems/ai/src/personality/mod.rs b/crates/systems/ai/src/personality/mod.rs
index 7f2095c..987b0a2 100644
--- a/crates/systems/ai/src/personality/mod.rs
+++ b/crates/systems/ai/src/personality/mod.rs
@@ -8,7 +8,9 @@ pub struct PersonalityPlugin;
 
 impl Plugin for PersonalityPlugin {
     fn build(&self, app: &mut App) {
-        app.register_type::<traits::Personality>()
+        app.init_resource::<traits::PersonalityConfig>()
+            .register_type::<traits::PersonalityConfig>()
+            .register_type::<traits::Personality>()
             .register_type::<traits::Altruistic>()
             .register_type::<traits::ContextAwareUtilities>()
             .register_type::<traits::PersonalityContextInputs>();
@@ -21,6 +23,7 @@ impl Plugin for PersonalityPlugin {
 pub mod prelude {
     pub use crate::personality::PersonalityPlugin;
     pub use crate::personality::traits::{
-        Altruistic, ContextAwareUtilities, Personality, PersonalityContextInputs,
+        Altruistic, ContextAwareUtilities, Personality, PersonalityConfig,
+        PersonalityContextInputs,
     };
 }
diff --git a/crates/systems/ai/src/personality/traits.rs b/crates/systems/ai/src/personality/traits.rs
index df78607..622e829 100644
--- a/crates/systems/ai/src/personality/traits.rs
+++ b/crates/systems/ai/src/personality/traits.rs
@@ -3,8 +3,29 @@ use crate::prelude::*;
 use bevy::prelude::*;
 // Removed direct energy dependency - use trait-based interface instead
 
-// Constants for social influence calculations
-const MAX_INFLUENCE_DISTANCE: f32 = 100.0; // Universal influence range
+/// Configuration resource for personality-related parameters
+#[derive(Resource, Debug, Clone, Reflect)]
+#[reflect(Resource)]
+pub struct PersonalityConfig {
+    /// Maximum distance for social influence calculations (universal influence range)
+    pub max_influence_distance: f32,
+}
+
+impl Default for PersonalityConfig {
+    fn default() -> Self {
+        Self {
+            max_influence_distance: 100.0,
+        }
+    }
+}
+
+impl PersonalityConfig {
+    pub fn new(max_influence_distance: f32) -> Self {
+        Self {
+            max_influence_distance: max_influence_distance.max(0.0),
+        }
+    }
+}
 
 /// Universal life adaptation traits for all organisms (plants through animals)
 #[derive(Component, Debug, Clone, Reflect)]
@@ -217,10 +238,13 @@ pub fn update_context_aware_utilities(
 /// System that calculates collective influence from nearby social relations
 /// Universal swarm intelligence - works for plant root networks, animal herds, bacterial colonies
 pub fn update_collective_influence(
+    config: Res<PersonalityConfig>,
     mut utilities_query: Query<(Entity, &Transform, &mut ContextAwareUtilities)>,
     relations_query: Query<&SocialRelation>,
     positions_query: Query<&Transform, Without<ContextAwareUtilities>>,
 ) {
+    let max_influence_distance = config.max_influence_distance;
+
     for (entity, transform, mut utilities) in &mut utilities_query {
         let mut total_collective_influence = 0.0;
         let position = transform.translation.truncate();
@@ -236,9 +260,9 @@ pub fn update_collective_influence(
                 let target_pos = target_transform.translation.truncate();
                 let distance = position.distance(target_pos);
 
-                if distance <= MAX_INFLUENCE_DISTANCE {
+                if distance <= max_influence_distance {
                     let proximity_influence =
-                        relation.proximity_utility_modifier(MAX_INFLUENCE_DISTANCE);
+                        relation.proximity_utility_modifier(max_influence_distance);
                     total_collective_influence += proximity_influence;
                 }
             }
diff --git a/crates/systems/ai/src/relationships/mod.rs b/crates/systems/ai/src/relationships/mod.rs
index cd14cc3..2331dc0 100644
--- a/crates/systems/ai/src/relationships/mod.rs
+++ b/crates/systems/ai/src/relationships/mod.rs
@@ -8,7 +8,9 @@ pub struct SocialPlugin;
 
 impl Plugin for SocialPlugin {
     fn build(&self, app: &mut App) {
-        app.register_type::<social::SocialNetwork>()
+        app.init_resource::<social::SocialConfig>()
+            .register_type::<social::SocialConfig>()
+            .register_type::<social::SocialNetwork>()
             .register_type::<social::RelationshipStrength>()
             .register_type::<social::RelationshipType>()
             .register_type::<social::EntityRelationship>()
@@ -22,7 +24,7 @@ impl Plugin for SocialPlugin {
 pub mod prelude {
     pub use crate::relationships::SocialPlugin;
     pub use crate::relationships::social::{
-        EntityRelationship, RelationshipStrength, RelationshipType, SocialNetwork, SocialRelation,
-        get_relationship_strength,
+        EntityRelationship, RelationshipStrength, RelationshipType, SocialConfig, SocialNetwork,
+        SocialRelation, get_relationship_strength,
     };
 }
diff --git a/crates/systems/ai/src/relationships/social.rs b/crates/systems/ai/src/relationships/social.rs
index 890b79f..bcfea90 100644
--- a/crates/systems/ai/src/relationships/social.rs
+++ b/crates/systems/ai/src/relationships/social.rs
@@ -3,6 +3,60 @@ use crate::prelude::*;
 use bevy::prelude::*;
 use std::collections::HashMap;
 
+/// Configuration resource for social relationship parameters
+#[derive(Resource, Debug, Clone, Reflect)]
+#[reflect(Resource)]
+pub struct SocialConfig {
+    /// Time scale for relationship decay (lower = faster decay)
+    pub decay_time_scale: f32,
+    /// Maximum decay per interaction
+    pub max_decay_per_interaction: f32,
+    /// Weight for historical relationship strength when blending
+    pub history_weight: f32,
+    /// Weight for new observation when blending
+    pub new_observation_weight: f32,
+}
+
+impl Default for SocialConfig {
+    fn default() -> Self {
+        Self {
+            decay_time_scale: 1000.0,
+            max_decay_per_interaction: 0.25,
+            history_weight: 0.7,
+            new_observation_weight: 0.3,
+        }
+    }
+}
+
+impl SocialConfig {
+    pub fn new(
+        decay_time_scale: f32,
+        max_decay: f32,
+        history_weight: f32,
+        new_weight: f32,
+    ) -> Self {
+        // Normalize weights to sum to 1.0
+        let total_weight = history_weight + new_weight;
+        let normalized_history = if total_weight > 0.0 {
+            history_weight / total_weight
+        } else {
+            0.7
+        };
+        let normalized_new = if total_weight > 0.0 {
+            new_weight / total_weight
+        } else {
+            0.3
+        };
+
+        Self {
+            decay_time_scale: decay_time_scale.max(1.0),
+            max_decay_per_interaction: max_decay.clamp(0.0, 1.0),
+            history_weight: normalized_history,
+            new_observation_weight: normalized_new,
+        }
+    }
+}
+
 /// Entity identifier type (compatible with Bevy ECS)
 pub type EntityId = Entity;
 
@@ -69,9 +123,13 @@ impl SocialNetwork {
         relationship_type: RelationshipType,
         strength: f32,
         current_tick: u64,
+        config: &SocialConfig,
     ) {
         let clamped_strength = Score::clamp_trait_value(strength);
-        let relationships = self.relationships.entry(target).or_default();
+        let relationships = self
+            .relationships
+            .entry(target)
+            .or_insert_with(|| HashMap::with_capacity(5)); // 5 relationship types max
 
         match relationships.entry(relationship_type) {
             std::collections::hash_map::Entry::Occupied(mut existing_entry) => {
@@ -82,12 +140,14 @@ impl SocialNetwork {
 
                 // Lightly decay stale relationships before applying the new observation.
                 if time_since_last > 0.0 {
-                    let decay = (time_since_last / 1000.0).min(0.25);
+                    let decay =
+                        (time_since_last / config.decay_time_scale).min(config.max_decay_per_interaction);
                     relationship.strength.adjust(-decay);
                 }
 
                 // Blend prior strength with the latest observation to preserve history.
-                let blended_strength = previous_strength * 0.7 + clamped_strength * 0.3;
+                let blended_strength = previous_strength * config.history_weight
+                    + clamped_strength * config.new_observation_weight;
                 relationship.strength = RelationshipStrength::new(blended_strength);
                 relationship.last_interaction_tick = current_tick;
             }
@@ -131,6 +191,7 @@ impl SocialNetwork {
         relationship_type: RelationshipType,
         personality: &Personality,
         current_tick: u64,
+        config: &SocialConfig,
     ) {
         // Base strength from existing relationship or default
         let base_strength = self
@@ -167,7 +228,13 @@ impl SocialNetwork {
         };
 
         // Add or update the relationship with the modified strength
-        self.add_or_update_relationship(target, relationship_type, modified_strength, current_tick);
+        self.add_or_update_relationship(
+            target,
+            relationship_type,
+            modified_strength,
+            current_tick,
+            config,
+        );
     }
 }
 
diff --git a/crates/systems/ai/src/trackers/base_tracker.rs b/crates/systems/ai/src/trackers/base_tracker.rs
index d345563..8c55b7e 100644
--- a/crates/systems/ai/src/trackers/base_tracker.rs
+++ b/crates/systems/ai/src/trackers/base_tracker.rs
@@ -65,7 +65,7 @@ impl AIModule for EntityTracker {
 impl EntityTracker {
     pub fn new(max_tracked_entities: usize) -> Self {
         Self {
-            tracked_entities: HashMap::new(),
+            tracked_entities: HashMap::with_capacity(max_tracked_entities),
             max_tracked_entities,
             priority: 0.0,
         }
diff --git a/crates/systems/ai/src/trackers/mod.rs b/crates/systems/ai/src/trackers/mod.rs
index 0916fcb..1158f1c 100644
--- a/crates/systems/ai/src/trackers/mod.rs
+++ b/crates/systems/ai/src/trackers/mod.rs
@@ -13,7 +13,9 @@ pub struct TrackerPlugin;
 
 impl Plugin for TrackerPlugin {
     fn build(&self, app: &mut App) {
-        app.register_type::<threat_tracker::ThreatTracker>()
+        app.init_resource::<threat_tracker::ThreatTrackerConfig>()
+            .register_type::<threat_tracker::ThreatTrackerConfig>()
+            .register_type::<threat_tracker::ThreatTracker>()
             .add_systems(Update, threat_tracker::threat_tracker_system);
     }
 }
@@ -26,5 +28,7 @@ pub mod prelude {
     pub use crate::trackers::base_tracker::{EntityTracker, TrackedEntity, TrackingRelation};
     pub use crate::trackers::needs_tracker::NeedsTracker;
     pub use crate::trackers::perception_tracker::Perception;
-    pub use crate::trackers::threat_tracker::{threat_tracker_system, ThreatTracker};
+    pub use crate::trackers::threat_tracker::{
+        threat_tracker_system, ThreatTracker, ThreatTrackerConfig,
+    };
 }
diff --git a/crates/systems/ai/src/trackers/threat_tracker.rs b/crates/systems/ai/src/trackers/threat_tracker.rs
index ac163f0..f930d5a 100644
--- a/crates/systems/ai/src/trackers/threat_tracker.rs
+++ b/crates/systems/ai/src/trackers/threat_tracker.rs
@@ -5,6 +5,34 @@ use std::collections::HashMap;
 
 use super::perception_tracker::Perception;
 
+/// Configuration resource for threat tracker default parameters
+#[derive(Resource, Debug, Clone, Reflect)]
+#[reflect(Resource)]
+pub struct ThreatTrackerConfig {
+    /// Default severity decay applied per second
+    pub default_decay_per_second: f32,
+    /// Default time (in seconds) before completely forgetting unseen threats
+    pub default_forget_after: f32,
+}
+
+impl Default for ThreatTrackerConfig {
+    fn default() -> Self {
+        Self {
+            default_decay_per_second: 0.4,
+            default_forget_after: 6.0,
+        }
+    }
+}
+
+impl ThreatTrackerConfig {
+    pub fn new(decay_per_second: f32, forget_after: f32) -> Self {
+        Self {
+            default_decay_per_second: decay_per_second.max(0.0),
+            default_forget_after: forget_after.max(0.0),
+        }
+    }
+}
+
 #[derive(Debug, Copy, Clone)]
 struct ThreatEntry {
     severity: f32,
@@ -38,7 +66,7 @@ impl Default for ThreatTracker {
 impl ThreatTracker {
     pub fn new(decay_per_second: f32, forget_after: f32) -> Self {
         Self {
-            threats: HashMap::new(),
+            threats: HashMap::with_capacity(8), // Typical organisms track few simultaneous threats
             panic_level: 0.0,
             accumulated_threat: 0.0,
             decay_per_second: decay_per_second.max(0.0),
@@ -47,6 +75,14 @@ impl ThreatTracker {
         }
     }
 
+    /// Create a new ThreatTracker from configuration resource
+    pub fn from_config(config: &ThreatTrackerConfig) -> Self {
+        Self::new(
+            config.default_decay_per_second,
+            config.default_forget_after,
+        )
+    }
+
     fn decay_entries(&mut self, now: f32) {
         if let Some(last) = self.last_update_time {
             let delta = (now - last).max(0.0);
@@ -85,18 +121,19 @@ impl ThreatTracker {
         }
 
         let mut total = 0.0;
-        let mut highest: f32 = 0.0;
         for entry in self.threats.values() {
             total += entry.severity;
-            highest = highest.max(entry.severity);
         }
 
         self.accumulated_threat = total.clamp(0.0, 4.0);
-        // Convert accumulated threat to a 0.0-1.0 panic using smooth saturation.
-        // TODO: Clamping to `highest` keeps panic elevated as long as any threat remains,
-        // even as the exponential would lower it. This prevents panic from dropping too quickly
-        // but may feel "sticky" will consider if panic should be allowed to drop below highest_threat.
-        self.panic_level = (1.0 - (-self.accumulated_threat).exp()).clamp(highest, 1.0);
+        // Convert accumulated threat to a 0.0-1.0 panic using smooth exponential saturation.
+        // This mimics real organism stress response: rises quickly with threat, decays naturally.
+        // The exponential curve (1 - e^(-x)) provides biologically realistic behavior:
+        // - Rapid response to new threats
+        // - Natural saturation at high threat levels
+        // - Smooth recovery as threats decay
+        // No artificial floor - panic tracks accumulated threat naturally like real stress hormones.
+        self.panic_level = (1.0 - (-self.accumulated_threat).exp()).clamp(0.0, 1.0);
     }
 
     /// Update this tracker using the current perception information.

From fd759995e1d5f31adb73f91a4a3a51ee3b8ef15b Mon Sep 17 00:00:00 2001
From: M1thieu <18742831+M1thieu@users.noreply.github.com>
Date: Fri, 7 Nov 2025 02:12:25 +0100
Subject: [PATCH 08/15] Refactor trackers with clean data/evaluation separation
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Architecture:
• entity_tracker: Data storage (position, last_seen, EntityMetadata enum)
• threat_tracker: Threat evaluation (panic calculation from entity data)
• prey_tracker: Food evaluation (attractiveness from entity data)
• Clean separation: data layer independent from evaluation layer

Changes:
• Added entity_tracker.rs (data storage with metadata enum)
• Added threat_tracker.rs (evaluates threats, outputs panic level)
• Added prey_tracker.rs (evaluates food sources, outputs hunger score)
• Deleted base_tracker.rs (replaced by entity_tracker)
• Updated mod.rs with future tracker plans

Benefits:
• Data storage separate from evaluation logic
• Easy to add new tracker types (just implement evaluation)
• Trackers read shared EntityTracker (no duplication)
• Scalable pattern for LP's multi-organism ecosystem

Future trackers planned:
• aggression, social, territory, noise, obstacle, injury
---
 .../systems/ai/src/trackers/base_tracker.rs   | 114 ----------
 .../systems/ai/src/trackers/entity_tracker.rs | 167 ++++++++++++++
 crates/systems/ai/src/trackers/mod.rs         |  67 ++++--
 .../systems/ai/src/trackers/prey_tracker.rs   | 123 ++++++++++
 .../systems/ai/src/trackers/threat_tracker.rs | 212 +++++++-----------
 5 files changed, 421 insertions(+), 262 deletions(-)
 delete mode 100644 crates/systems/ai/src/trackers/base_tracker.rs
 create mode 100644 crates/systems/ai/src/trackers/entity_tracker.rs
 create mode 100644 crates/systems/ai/src/trackers/prey_tracker.rs

diff --git a/crates/systems/ai/src/trackers/base_tracker.rs b/crates/systems/ai/src/trackers/base_tracker.rs
deleted file mode 100644
index 8c55b7e..0000000
--- a/crates/systems/ai/src/trackers/base_tracker.rs
+++ /dev/null
@@ -1,114 +0,0 @@
-use crate::core::scorers::Score;
-use crate::prelude::*;
-use bevy::prelude::*;
-use std::collections::HashMap;
-
-/// Core tracker for monitoring entities
-#[derive(Component)]
-pub struct EntityTracker {
-    /// Entities being tracked
-    tracked_entities: HashMap<Entity, TrackedEntity>,
-    /// Maximum number of entities to track
-    max_tracked_entities: usize,
-    /// Priority score for decision making
-    priority: f32,
-}
-
-/// Information about a tracked entity
-pub struct TrackedEntity {
-    /// Last known position
-    pub last_seen_position: Vec2,
-    /// Whether the entity is currently visible
-    pub visual_contact: bool,
-    /// Ticks since last seen
-    pub ticks_since_seen: u32,
-    /// Importance of this entity (0.0-1.0)
-    pub importance: f32,
-}
-
-impl AIModule for EntityTracker {
-    fn update(&mut self) {
-        // Update tracking information
-        for tracked in self.tracked_entities.values_mut() {
-            if !tracked.visual_contact {
-                tracked.ticks_since_seen += 1;
-
-                // Reduce importance over time when not seen
-                if tracked.ticks_since_seen > 10 {
-                    tracked.importance *= 0.99;
-                }
-            }
-        }
-
-        // Calculate priority based on most important tracked entity
-        self.priority = self
-            .tracked_entities
-            .values()
-            .map(|entity| entity.importance)
-            .fold(0.0, f32::max);
-
-        // Remove low importance entities when over capacity
-        if self.tracked_entities.len() > self.max_tracked_entities {
-            let mut entries: Vec<_> = self.tracked_entities.iter().collect();
-            entries.sort_by(|a, b| b.1.importance.partial_cmp(&a.1.importance).unwrap());
-
-            let cutoff = entries[self.max_tracked_entities].1.importance;
-            self.tracked_entities.retain(|_, e| e.importance > cutoff);
-        }
-    }
-
-    fn utility(&self) -> Score {
-        Score::new(self.priority)
-    }
-}
-
-impl EntityTracker {
-    pub fn new(max_tracked_entities: usize) -> Self {
-        Self {
-            tracked_entities: HashMap::with_capacity(max_tracked_entities),
-            max_tracked_entities,
-            priority: 0.0,
-        }
-    }
-
-    pub fn add_entity(&mut self, entity: Entity, position: Vec2, importance: f32) {
-        self.tracked_entities.insert(
-            entity,
-            TrackedEntity {
-                last_seen_position: position,
-                visual_contact: true,
-                ticks_since_seen: 0,
-                importance: importance.clamp(0.0, 1.0),
-            },
-        );
-    }
-
-    pub fn update_entity(&mut self, entity: Entity, position: Vec2) {
-        if let Some(tracked) = self.tracked_entities.get_mut(&entity) {
-            tracked.last_seen_position = position;
-            tracked.visual_contact = true;
-            tracked.ticks_since_seen = 0;
-        }
-    }
-
-    pub fn get_tracked_entity(&self, entity: Entity) -> Option<&TrackedEntity> {
-        self.tracked_entities.get(&entity)
-    }
-
-    pub fn get_most_important_entity(&self) -> Option<(Entity, &TrackedEntity)> {
-        self.tracked_entities
-            .iter()
-            .max_by(|a, b| a.1.importance.partial_cmp(&b.1.importance).unwrap())
-            .map(|(e, data)| (*e, data))
-    }
-}
-
-// Optional Relations-based tracking component (alternative to HashMap approach)
-#[derive(Component, Debug, Clone)]
-pub struct TrackingRelation {
-    pub target: Entity,
-    pub last_seen_position: Vec2,
-    pub visual_contact: bool,
-    pub ticks_since_seen: u32,
-    pub importance: f32,
-}
diff --git a/crates/systems/ai/src/trackers/entity_tracker.rs b/crates/systems/ai/src/trackers/entity_tracker.rs
new file mode 100644
index 0000000..1054a41
--- /dev/null
+++ b/crates/systems/ai/src/trackers/entity_tracker.rs
@@ -0,0 +1,167 @@
+//! Entity tracking - data storage only
+//!
+//! Stores raw data about tracked entities. No evaluation logic here.
+//! Specialized trackers (threat, prey, etc.) read this data and evaluate.
+
+use bevy::prelude::*;
+use std::collections::HashMap;
+
+/// Metadata types for tracked entities
+#[derive(Debug, Clone)]
+pub enum EntityMetadata {
+    /// Potential threat (predator, hazard)
+    Threat { severity: f32 },
+
+    /// Potential food source
+    Prey { attractiveness: f32 },
+
+    /// Social entity (pack member, competitor)
+    Social { relationship_strength: f32 },
+
+    /// Neutral/unknown entity
+    Neutral,
+}
+
+/// Raw data about a tracked entity
+#[derive(Debug, Clone)]
+pub struct TrackedEntity {
+    /// Entity being tracked
+    pub entity: Entity,
+
+    /// Last known position
+    pub position: Vec2,
+
+    /// Last time this entity was observed (seconds)
+    pub last_seen_time: f32,
+
+    /// Distance when last seen
+    pub last_distance: f32,
+
+    /// Whether currently in visual contact
+    pub in_visual_contact: bool,
+
+    /// Metadata about this entity
+    pub metadata: EntityMetadata,
+}
+
+impl TrackedEntity {
+    pub fn new(entity: Entity, position: Vec2, time: f32, metadata: EntityMetadata) -> Self {
+        let distance = 0.0; // Will be updated
+        Self {
+            entity,
+            position,
+            last_seen_time: time,
+            last_distance: distance,
+            in_visual_contact: true,
+            metadata,
+        }
+    }
+
+    /// Time since last observation
+    pub fn time_since_seen(&self, current_time: f32) -> f32 {
+        current_time - self.last_seen_time
+    }
+}
+
+/// Component that stores tracked entities (data only, no evaluation)
+#[derive(Component, Debug)]
+pub struct EntityTracker {
+    /// All tracked entities
+    tracked: HashMap<Entity, TrackedEntity>,
+
+    /// Maximum entities to track
+    max_tracked: usize,
+}
+
+impl EntityTracker {
+    pub fn new(max_tracked: usize) -> Self {
+        Self {
+            tracked: HashMap::with_capacity(max_tracked),
+            max_tracked,
+        }
+    }
+
+    /// Add or update tracked entity
+    pub fn track_entity(
+        &mut self,
+        entity: Entity,
+        position: Vec2,
+        current_time: f32,
+        metadata: EntityMetadata,
+    ) {
+        if let Some(tracked) = self.tracked.get_mut(&entity) {
+            // Update existing
+            tracked.position = position;
+            tracked.last_seen_time = current_time;
+            tracked.in_visual_contact = true;
+            tracked.metadata = metadata;
+        } else {
+            // Add new
+            self.tracked.insert(
+                entity,
+                TrackedEntity::new(entity, position, current_time, metadata),
+            );
+        }
+    }
+
+    /// Mark entity as no longer in visual contact
+    pub fn lost_visual_contact(&mut self, entity: Entity) {
+        if let Some(tracked) = self.tracked.get_mut(&entity) {
+            tracked.in_visual_contact = false;
+        }
+    }
+
+    /// Get tracked entity data
+    pub fn get(&self, entity: Entity) -> Option<&TrackedEntity> {
+        self.tracked.get(&entity)
+    }
+
+    /// Get all tracked entities
+    pub fn all(&self) -> impl Iterator<Item = &TrackedEntity> {
+        self.tracked.values()
+    }
+
+    /// Get entities matching metadata filter
+    pub fn filter_by_metadata<F>(&self, predicate: F) -> impl Iterator<Item = &TrackedEntity>
+    where
+        F: Fn(&EntityMetadata) -> bool,
+    {
+        self.tracked
+            .values()
+            .filter(move |t| predicate(&t.metadata))
+    }
+
+    /// Remove entities not seen for too long
+    pub fn forget_old_entities(&mut self, current_time: f32, forget_after: f32) {
+        self.tracked.retain(|_, tracked| {
+            tracked.time_since_seen(current_time) < forget_after
+        });
+    }
+
+    /// Enforce capacity limit (remove least recently seen)
+    pub fn enforce_capacity(&mut self) {
+        if self.tracked.len() <= self.max_tracked {
+            return;
+        }
+
+        let mut entries: Vec<_> = self.tracked.iter().map(|(k, v)| (*k, v.last_seen_time)).collect();
+        entries.sort_by(|a, b| {
+            a.1.partial_cmp(&b.1)
+                .unwrap_or(std::cmp::Ordering::Equal)
+        });
+
+        // Remove oldest
+        let to_remove = self.tracked.len() - self.max_tracked;
+        let entities_to_remove: Vec<Entity> = entries.iter().take(to_remove).map(|(e, _)| *e).collect();
+
+        for entity in entities_to_remove {
+            self.tracked.remove(&entity);
+        }
+    }
+}
+
+impl Default for EntityTracker {
+    fn default() -> Self {
+        Self::new(20)
+    }
+}
diff --git a/crates/systems/ai/src/trackers/mod.rs b/crates/systems/ai/src/trackers/mod.rs
index 1158f1c..6270492 100644
--- a/crates/systems/ai/src/trackers/mod.rs
+++ b/crates/systems/ai/src/trackers/mod.rs
@@ -1,10 +1,13 @@
-pub mod base_tracker;
+// Entity tracking with clean separation:
+// - entity_tracker: Stores raw data (position, last_seen, metadata)
+// - Specialized trackers: Read entity_tracker and evaluate (threat, prey, etc.)
+
+pub mod entity_tracker;
 pub mod needs_tracker;
 pub mod perception_tracker;
+pub mod prey_tracker;
 pub mod threat_tracker;
 
-//TODO soon: pub mod relationship_tracker;
-
 use bevy::prelude::*;
 
 /// Plugin for entity tracking systems
@@ -13,22 +16,58 @@ pub struct TrackerPlugin;
 
 impl Plugin for TrackerPlugin {
     fn build(&self, app: &mut App) {
-        app.init_resource::<threat_tracker::ThreatTrackerConfig>()
-            .register_type::<threat_tracker::ThreatTrackerConfig>()
-            .register_type::<threat_tracker::ThreatTracker>()
-            .add_systems(Update, threat_tracker::threat_tracker_system);
+        app.init_resource::<threat_tracker::ThreatConfig>()
+            .init_resource::<prey_tracker::PreyConfig>()
+            .register_type::<threat_tracker::ThreatConfig>()
+            .register_type::<prey_tracker::PreyConfig>()
+            .add_systems(
+                Update,
+                (
+                    threat_tracker::threat_tracker_system,
+                    prey_tracker::prey_tracker_system,
+                ),
+            );
     }
 }
 
-/// Prelude for the trackers module.
-///
-/// This includes the most common tracking components and systems.
+/// Prelude for the trackers module
 pub mod prelude {
     pub use crate::trackers::TrackerPlugin;
-    pub use crate::trackers::base_tracker::{EntityTracker, TrackedEntity, TrackingRelation};
+
+    // Data storage
+    pub use crate::trackers::entity_tracker::{EntityMetadata, EntityTracker, TrackedEntity};
+
+    // Evaluation trackers
+    pub use crate::trackers::prey_tracker::{PreyConfig, PreyTracker};
+    pub use crate::trackers::threat_tracker::{ThreatConfig, ThreatTracker};
+
+    // Other trackers
     pub use crate::trackers::needs_tracker::NeedsTracker;
     pub use crate::trackers::perception_tracker::Perception;
-    pub use crate::trackers::threat_tracker::{
-        threat_tracker_system, ThreatTracker, ThreatTrackerConfig,
-    };
 }
+
+// Future trackers planned (add as LP grows):
+//
+// aggression_tracker.rs
+//   Evaluates anger/hostility from entity_tracker
+//   Used for: Territorial defense, competitive behavior
+//
+// social_tracker.rs
+//   Evaluates pack bonds, herd affiliation from entity_tracker
+//   Used for: Pack hunting, colony cooperation, herd movement
+//
+// territory_tracker.rs
+//   Evaluates familiarity with locations (dens, nesting sites)
+//   Used for: Migration routes, home territory, safe zones
+//
+// noise_tracker.rs
+//   Evaluates sound sources and their significance
+//   Used for: Predator detection, communication
+//
+// obstacle_tracker.rs
+//   Evaluates navigation obstacles and path quality
+//   Used for: Pathfinding assistance, stuck detection
+//
+// injury_tracker.rs
+//   Evaluates damage state and healing needs
+//   Used for: Retreat behavior, vulnerability assessment
diff --git a/crates/systems/ai/src/trackers/prey_tracker.rs b/crates/systems/ai/src/trackers/prey_tracker.rs
new file mode 100644
index 0000000..c2f2061
--- /dev/null
+++ b/crates/systems/ai/src/trackers/prey_tracker.rs
@@ -0,0 +1,123 @@
+//! Prey evaluation - reads entity tracker, outputs food assessment
+//!
+//! Data storage separate from evaluation.
+//! This reads EntityTracker and calculates food attractiveness.
+
+use super::entity_tracker::{EntityMetadata, EntityTracker};
+use crate::core::scorers::Score;
+use crate::prelude::*;
+use bevy::prelude::*;
+
+/// Configuration for prey evaluation
+#[derive(Resource, Debug, Clone, Reflect)]
+#[reflect(Resource)]
+pub struct PreyConfig {
+    /// How quickly food memory fades per second
+    pub memory_decay_per_second: f32,
+
+    /// Time before completely forgetting food
+    pub forget_after: f32,
+
+    /// Max distance to consider food attractive
+    pub max_attractive_distance: f32,
+}
+
+impl Default for PreyConfig {
+    fn default() -> Self {
+        Self {
+            memory_decay_per_second: 0.1,
+            forget_after: 10.0,
+            max_attractive_distance: 200.0,
+        }
+    }
+}
+
+/// Evaluates food sources from entity tracker (no data storage)
+#[derive(Component, Debug, Default)]
+pub struct PreyTracker {
+    /// Most attractive prey entity
+    best_prey: Option<Entity>,
+
+    /// Attractiveness of best prey (0.0-1.0)
+    best_attractiveness: f32,
+}
+
+impl PreyTracker {
+    pub fn new() -> Self {
+        Self::default()
+    }
+
+    /// Get most attractive prey
+    pub fn best_prey(&self) -> Option<Entity> {
+        self.best_prey
+    }
+
+    /// Get attractiveness of best prey
+    pub fn best_attractiveness(&self) -> f32 {
+        self.best_attractiveness
+    }
+
+    /// Update prey evaluation from entity tracker
+    pub fn update(
+        &mut self,
+        entity_tracker: &EntityTracker,
+        current_time: f32,
+        config: &PreyConfig,
+    ) {
+        let mut best_entity = None;
+        let mut best_score = 0.0;
+
+        // Evaluate all prey from entity tracker
+        for tracked in entity_tracker.filter_by_metadata(|m| {
+            matches!(m, EntityMetadata::Prey { .. })
+        }) {
+            if let EntityMetadata::Prey { attractiveness } = tracked.metadata {
+                // Apply memory decay
+                let time_since = tracked.time_since_seen(current_time);
+                let decay = (-config.memory_decay_per_second * time_since).exp();
+                let current_attractiveness = attractiveness * decay;
+
+                // Distance factor (closer = more attractive)
+                let distance_factor = if tracked.last_distance > 0.0 {
+                    1.0 - (tracked.last_distance / config.max_attractive_distance)
+                        .clamp(0.0, 1.0)
+                } else {
+                    1.0
+                };
+
+                let total_score = current_attractiveness * distance_factor;
+
+                if total_score > best_score {
+                    best_score = total_score;
+                    best_entity = Some(tracked.entity);
+                }
+            }
+        }
+
+        self.best_prey = best_entity;
+        self.best_attractiveness = best_score;
+    }
+}
+
+impl AIModule for PreyTracker {
+    fn update(&mut self) {
+        // Update happens in system with access to EntityTracker
+    }
+
+    fn utility(&self) -> Score {
+        Score::new(self.best_attractiveness)
+    }
+}
+
+/// System that updates all prey trackers
+pub fn prey_tracker_system(
+    time: Res<Time>,
+    config: Res<PreyConfig>,
+    mut query: Query<(&mut PreyTracker, &EntityTracker)>,
+) {
+    let current_time = time.elapsed_secs();
+
+    for (mut prey_tracker, entity_tracker) in &mut query {
+        prey_tracker.update(entity_tracker, current_time, &config);
+    }
+}
diff --git a/crates/systems/ai/src/trackers/threat_tracker.rs b/crates/systems/ai/src/trackers/threat_tracker.rs
index f930d5a..e4d48cd 100644
--- a/crates/systems/ai/src/trackers/threat_tracker.rs
+++ b/crates/systems/ai/src/trackers/threat_tracker.rs
@@ -1,164 +1,106 @@
+//! Threat evaluation - reads entity tracker, outputs threat assessment
+//!
+//! Data storage separate from evaluation.
+//! This reads EntityTracker and calculates threat levels.
+
+use super::entity_tracker::{EntityMetadata, EntityTracker};
 use crate::core::scorers::Score;
-use crate::prelude::AIModule;
+use crate::prelude::*;
 use bevy::prelude::*;
-use std::collections::HashMap;
-
-use super::perception_tracker::Perception;
 
-/// Configuration resource for threat tracker default parameters
+/// Configuration for threat evaluation
 #[derive(Resource, Debug, Clone, Reflect)]
 #[reflect(Resource)]
-pub struct ThreatTrackerConfig {
-    /// Default severity decay applied per second
-    pub default_decay_per_second: f32,
-    /// Default time (in seconds) before completely forgetting unseen threats
-    pub default_forget_after: f32,
-}
+pub struct ThreatConfig {
+    /// How quickly threat severity decays per second
+    pub decay_per_second: f32,
 
-impl Default for ThreatTrackerConfig {
-    fn default() -> Self {
-        Self {
-            default_decay_per_second: 0.4,
-            default_forget_after: 6.0,
-        }
-    }
+    /// Time before completely forgetting a threat
+    pub forget_after: f32,
+
+    /// Distance at which threats are max severity (closer = worse)
+    pub max_severity_distance: f32,
 }
 
-impl ThreatTrackerConfig {
-    pub fn new(decay_per_second: f32, forget_after: f32) -> Self {
+impl Default for ThreatConfig {
+    fn default() -> Self {
         Self {
-            default_decay_per_second: decay_per_second.max(0.0),
-            default_forget_after: forget_after.max(0.0),
+            decay_per_second: 0.4,
+            forget_after: 6.0,
+            max_severity_distance: 50.0,
         }
     }
 }
 
-#[derive(Debug, Copy, Clone)]
-struct ThreatEntry {
-    severity: f32,
-    last_seen_time: f32,
-}
-
-/// Tracks recent threats seen by an entity and provides a panic utility.
-#[derive(Component, Debug, Clone, Reflect)]
-#[reflect(Component)]
+/// Evaluates threats from entity tracker (no data storage)
+#[derive(Component, Debug, Default)]
 pub struct ThreatTracker {
-    #[reflect(ignore)]
-    threats: HashMap<Entity, ThreatEntry>,
-    /// Cached overall panic level (0.0-1.0).
-    pub panic_level: f32,
-    /// Sum of individual threat severities (0.0-1.0).
-    pub accumulated_threat: f32,
-    /// Severity decay applied per second.
-    pub decay_per_second: f32,
-    /// Time (in seconds) before completely forgetting unseen threats.
-    pub forget_after: f32,
-    #[reflect(ignore)]
-    last_update_time: Option<f32>,
-}
+    /// Cached panic level (recalculated each frame)
+    panic_level: f32,
 
-impl Default for ThreatTracker {
-    fn default() -> Self {
-        Self::new(0.4, 6.0)
-    }
+    /// Highest individual threat severity
+    highest_threat: f32,
 }
 
 impl ThreatTracker {
-    pub fn new(decay_per_second: f32, forget_after: f32) -> Self {
-        Self {
-            threats: HashMap::with_capacity(8), // Typical organisms track few simultaneous threats
-            panic_level: 0.0,
-            accumulated_threat: 0.0,
-            decay_per_second: decay_per_second.max(0.0),
-            forget_after: forget_after.max(0.0),
-            last_update_time: None,
-        }
+    pub fn new() -> Self {
+        Self::default()
     }
 
-    /// Create a new ThreatTracker from configuration resource
-    pub fn from_config(config: &ThreatTrackerConfig) -> Self {
-        Self::new(
-            config.default_decay_per_second,
-            config.default_forget_after,
-        )
+    /// Get current panic level (0.0-1.0)
+    pub fn panic_level(&self) -> f32 {
+        self.panic_level
     }
 
-    fn decay_entries(&mut self, now: f32) {
-        if let Some(last) = self.last_update_time {
-            let delta = (now - last).max(0.0);
-            if delta > 0.0 && !self.threats.is_empty() {
-                let decay_amount = self.decay_per_second * delta;
-                self.threats.retain(|_, entry| {
-                    let time_since_seen = now - entry.last_seen_time;
-                    if time_since_seen > self.forget_after {
-                        return false;
-                    }
-
-                    let new_severity = (entry.severity - decay_amount).max(0.0);
-                    entry.severity = new_severity;
-                    new_severity > 0.01
-                });
-            }
-        }
-
-        self.last_update_time = Some(now);
+    /// Get highest individual threat
+    pub fn highest_threat(&self) -> f32 {
+        self.highest_threat
     }
 
-    fn register_threat(&mut self, entity: Entity, severity: f32, now: f32) {
-        let entry = self.threats.entry(entity).or_insert(ThreatEntry {
-            severity: 0.0,
-            last_seen_time: now,
-        });
-        entry.severity = entry.severity.max(severity.clamp(0.0, 1.0));
-        entry.last_seen_time = now;
-    }
-
-    fn recalculate(&mut self) {
-        if self.threats.is_empty() {
-            self.panic_level = 0.0;
-            self.accumulated_threat = 0.0;
-            return;
-        }
-
-        let mut total = 0.0;
-        for entry in self.threats.values() {
-            total += entry.severity;
-        }
-
-        self.accumulated_threat = total.clamp(0.0, 4.0);
-        // Convert accumulated threat to a 0.0-1.0 panic using smooth exponential saturation.
-        // This mimics real organism stress response: rises quickly with threat, decays naturally.
-        // The exponential curve (1 - e^(-x)) provides biologically realistic behavior:
-        // - Rapid response to new threats
-        // - Natural saturation at high threat levels
-        // - Smooth recovery as threats decay
-        // No artificial floor - panic tracks accumulated threat naturally like real stress hormones.
-        self.panic_level = (1.0 - (-self.accumulated_threat).exp()).clamp(0.0, 1.0);
-    }
-
-    /// Update this tracker using the current perception information.
-    pub fn update_from_perception(&mut self, perception: &Perception, now: f32) {
-        self.decay_entries(now);
-
-        if perception.detection_radius <= 0.0 {
-            self.recalculate();
-            return;
-        }
-
-        for (entity, _pos, distance) in &perception.visible_entities {
-            let severity = 1.0 - (distance / perception.detection_radius).clamp(0.0, 1.0);
-            if severity > 0.0 {
-                self.register_threat(*entity, severity, now);
+    /// Update threat evaluation from entity tracker
+    pub fn update(
+        &mut self,
+        entity_tracker: &EntityTracker,
+        current_time: f32,
+        config: &ThreatConfig,
+    ) {
+        let mut total_threat = 0.0;
+        let mut max_threat: f32 = 0.0;
+
+        // Evaluate all threats from entity tracker
+        for tracked in entity_tracker.filter_by_metadata(|m| {
+            matches!(m, EntityMetadata::Threat { .. })
+        }) {
+            if let EntityMetadata::Threat { severity } = tracked.metadata {
+                // Apply decay based on time since seen
+                let time_since = tracked.time_since_seen(current_time);
+                let decay = (-config.decay_per_second * time_since).exp();
+                let current_severity = severity * decay;
+
+                // Distance modifier (closer = more threatening)
+                let distance_factor = if tracked.last_distance > 0.0 {
+                    1.0 - (tracked.last_distance / config.max_severity_distance).clamp(0.0, 1.0)
+                } else {
+                    1.0
+                };
+
+                let adjusted_severity = current_severity * distance_factor;
+
+                total_threat += adjusted_severity;
+                max_threat = max_threat.max(adjusted_severity);
             }
         }
 
-        self.recalculate();
+        // Exponential panic saturation (from original ThreatTracker)
+        let accumulated = total_threat.clamp(0.0, 4.0);
+        self.panic_level = (1.0 - (-accumulated).exp()).clamp(0.0, 1.0);
+        self.highest_threat = max_threat;
     }
 }
 
 impl AIModule for ThreatTracker {
     fn update(&mut self) {
-        // Temporal decay is handled by [`update_from_perception`]; nothing to do per tick.
+        // Update happens in system with access to EntityTracker
     }
 
     fn utility(&self) -> Score {
@@ -166,13 +108,15 @@ impl AIModule for ThreatTracker {
     }
 }
 
-/// Integrates [`ThreatTracker`] with [`Perception`] every frame.
+/// System that updates all threat trackers
 pub fn threat_tracker_system(
     time: Res<Time>,
-    mut query: Query<(&Perception, &mut ThreatTracker)>,
+    config: Res<ThreatConfig>,
+    mut query: Query<(&mut ThreatTracker, &EntityTracker)>,
 ) {
-    let now = time.elapsed_secs();
-    for (perception, mut tracker) in &mut query {
-        tracker.update_from_perception(perception, now);
+    let current_time = time.elapsed_secs();
+
+    for (mut threat_tracker, entity_tracker) in &mut query {
+        threat_tracker.update(entity_tracker, current_time, &config);
     }
 }

From 3d4eeaab2849408ce32503c858349a418ea4989a Mon Sep 17 00:00:00 2001
From: M1thieu <18742831+M1thieu@users.noreply.github.com>
Date: Mon, 10 Nov 2025 18:49:42 +0100
Subject: [PATCH 09/15] Restore community files

---
 .github/ISSUE_TEMPLATE/bug_report.yml      |  54 +++++++++
 .github/ISSUE_TEMPLATE/feature_request.yml |  36 ++++++
 .github/code_of_conduct.md                 | 129 +++++++++++++++++++++
 .github/funding.yml                        |  14 +++
 4 files changed, 233 insertions(+)
 create mode 100644 .github/ISSUE_TEMPLATE/bug_report.yml
 create mode 100644 .github/ISSUE_TEMPLATE/feature_request.yml
 create mode 100644 .github/code_of_conduct.md
 create mode 100644 .github/funding.yml

diff --git a/.github/ISSUE_TEMPLATE/bug_report.yml b/.github/ISSUE_TEMPLATE/bug_report.yml
new file mode 100644
index 0000000..fcf410f
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/bug_report.yml
@@ -0,0 +1,54 @@
+name: Bug report
+description: Report a bug in LP
+body:
+
+- type: markdown
+  attributes:
+    value: |
+      When reporting bugs, please follow the guidelines in this template. This helps identify the problem precisely and thus enables contributors to fix it faster.
+      - Write a descriptive issue title above.
+      - The golden rule is to **always open *one* issue for *one* bug**. If you notice several bugs and want to report them, make sure to create one new issue for each of them.
+      - Search [open issues](https://github.com/erematorg/LP/issues) and [closed issues](https://github.com/erematorg/LP/issues?q=is%3Aissue+is%3Aclosed) to ensure it has not already been reported. If you don't find a relevant match or if you're unsure, don't hesitate to **open a new issue**. The bugsquad will handle it from there if it's a duplicate.
+      - Please always check if your issue is reproducible in the latest version – it may already have been fixed!
+
+- type: textarea
+  attributes:
+    label: Tested versions
+    description: |
+      To properly fix a bug, we need to identify if the bug was recently introduced in the LP project or if it has been present from the beginning.
+      - Specify the LP version you found the issue in. If you are using a specific build, include relevant details.
+      - If you can, **please test earlier LP versions** and, if applicable, newer versions. Mention whether the bug is reproducible or not in the versions you tested.
+    placeholder: |
+
+      - Reproducible in: v1.0, v1.1
+      - Not reproducible in: v0.9
+  validations:
+    required: true
+
+- type: input
+  attributes:
+    label: System information
+    description: |
+      - Specify the OS version, and when relevant, hardware information.
+      - For issues that are likely OS-specific and/or graphics-related, please specify the CPU model and architecture.
+    placeholder: Windows 10 - LP v1.0 - dedicated GPU NVIDIA GeForce GTX 970 - Intel Core i7-10700KF CPU @ 3.80GHz (16 Threads)
+  validations:
+    required: true
+
+- type: textarea
+  attributes:
+    label: Issue description
+    description: |
+      Describe your issue briefly. What doesn't work, and how do you expect it to work instead?
+      You can include images or videos with drag and drop, and format code blocks or logs with <code>```</code> tags.
+  validations:
+    required: true
+
+- type: textarea
+  attributes:
+    label: Steps to reproduce
+    description: |
+      List the steps or sample code that reproduces the issue. Having reproducible issues is a prerequisite for contributors to be able to solve them.
+      If you include a minimal reproduction project below, detail how to use it here.
+  validations:
+    required: true
diff --git a/.github/ISSUE_TEMPLATE/feature_request.yml b/.github/ISSUE_TEMPLATE/feature_request.yml
new file mode 100644
index 0000000..5b1e3da
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/feature_request.yml
@@ -0,0 +1,36 @@
+name: Feature request
+description: Suggest a new feature for LP
+body:
+
+- type: markdown
+  attributes:
+    value: |
+      When suggesting new features, please follow the guidelines in this template. This helps provide clear and actionable suggestions.
+      - Write a descriptive title above.
+      - Clearly describe the problem or need that this feature aims to address.
+      - If you have multiple feature suggestions, create a new request for each to maintain clarity.
+      - Search [open issues](https://github.com/erematorg/LP/issues) to ensure a similar feature request has not already been submitted. If you don't find a relevant match or if you're unsure, feel free to **open a new request**.
+
+- type: textarea
+  attributes:
+    label: Problem Description
+    description: |
+      A clear and concise description of the problem or need that this feature aims to address.
+
+- type: textarea
+  attributes:
+    label: Proposed Solution
+    description: |
+      A clear and concise description of the solution or functionality you would like to see implemented.
+
+- type: textarea
+  attributes:
+    label: Alternatives Considered
+    description: |
+      Describe any alternative solutions or features you have considered or think might be viable.
+
+- type: textarea
+  attributes:
+    label: Additional Context
+    description: |
+      Add any other context, examples, or use cases that provide additional information about the feature request.
diff --git a/.github/code_of_conduct.md b/.github/code_of_conduct.md
new file mode 100644
index 0000000..e660ddf
--- /dev/null
+++ b/.github/code_of_conduct.md
@@ -0,0 +1,129 @@
+# Contributor Covenant Code of Conduct
+
+## Our Pledge
+
+We as members, contributors, and leaders pledge to make participation in our
+community a harassment-free experience for everyone, regardless of age, body
+size, visible or invisible disability, ethnicity, sex characteristics, gender
+identity and expression, level of experience, education, socio-economic status,
+nationality, personal appearance, race, religion, or sexual identity
+and orientation.
+
+We pledge to act and interact in ways that contribute to an open, welcoming,
+diverse, inclusive, and healthy community.
+
+## Our Standards
+
+Examples of behavior that contributes to a positive environment for our
+community include:
+
+* Demonstrating empathy and kindness toward other people
+* Being respectful of differing opinions, viewpoints, and experiences
+* Giving and gracefully accepting constructive feedback
+* Accepting responsibility and apologizing to those affected by our mistakes,
+  and learning from the experience
+* Focusing on what is best not just for us as individuals, but for the
+  overall community
+
+Examples of unacceptable behavior include:
+
+* The use of sexualized language or imagery, and sexual attention or
+  advances of any kind
+* Trolling, insulting or derogatory comments, and personal or political attacks
+* Public or private harassment
+* Publishing others' private information, such as a physical or email
+  address, without their explicit permission
+* Other conduct which could reasonably be considered inappropriate in a
+  professional setting
+
+## Enforcement Responsibilities
+
+Community leaders are responsible for clarifying and enforcing our standards of
+acceptable behavior and will take appropriate and fair corrective action in
+response to any behavior that they deem inappropriate, threatening, offensive,
+or harmful.
+
+Community leaders have the right and responsibility to remove, edit, or reject
+comments, commits, code, wiki edits, issues, and other contributions that are
+not aligned to this Code of Conduct, and will communicate reasons for moderation
+decisions when appropriate.
+
+## Scope
+
+This Code of Conduct applies within all community spaces, and also applies when
+an individual is officially representing the community in public spaces.
+Examples of representing our community include using an official e-mail address,
+posting via an official social media account, or acting as an appointed
+representative at an online or offline event.
+
+## Enforcement
+
+Instances of abusive, harassing, or otherwise unacceptable behavior may be
+reported to the community leaders responsible for enforcement at
+contact@eremat.org.
+All complaints will be reviewed and investigated promptly and fairly.
+
+All community leaders are obligated to respect the privacy and security of the
+reporter of any incident.
+
+## Enforcement Guidelines
+
+Community leaders will follow these Community Impact Guidelines in determining
+the consequences for any action they deem in violation of this Code of Conduct:
+
+### 1. Correction
+
+**Community Impact**: Use of inappropriate language or other behavior deemed
+unprofessional or unwelcome in the community.
+
+**Consequence**: A private, written warning from community leaders, providing
+clarity around the nature of the violation and an explanation of why the
+behavior was inappropriate. A public apology may be requested.
+
+### 2. Warning
+
+**Community Impact**: A violation through a single incident or series
+of actions.
+
+**Consequence**: A warning with consequences for continued behavior. No
+interaction with the people involved, including unsolicited interaction with
+those enforcing the Code of Conduct, for a specified period of time. This
+includes avoiding interactions in community spaces as well as external channels
+like social media. Violating these terms may lead to a temporary or
+permanent ban.
+
+### 3. Temporary Ban
+
+**Community Impact**: A serious violation of community standards, including
+sustained inappropriate behavior.
+
+**Consequence**: A temporary ban from any sort of interaction or public
+communication with the community for a specified period of time. No public or
+private interaction with the people involved, including unsolicited interaction
+with those enforcing the Code of Conduct, is allowed during this period.
+Violating these terms may lead to a permanent ban.
+
+### 4. Permanent Ban
+
+**Community Impact**: Demonstrating a pattern of violation of community
+standards, including sustained inappropriate behavior,  harassment of an
+individual, or aggression toward or disparagement of classes of individuals.
+
+**Consequence**: A permanent ban from any sort of public interaction within
+the community.
+
+## Attribution
+
+This Code of Conduct is adapted from the [Contributor Covenant][homepage],
+version 2.0, available at
+https://www.contributor-covenant.org/version/2/0/code_of_conduct.html.
+
+Community Impact Guidelines were inspired by [Mozilla's code of conduct
+enforcement ladder](https://github.com/mozilla/diversity).
+
+[homepage]: https://www.contributor-covenant.org
+
+For answers to common questions about this code of conduct, see the FAQ at
+https://www.contributor-covenant.org/faq. Translations are available at
+https://www.contributor-covenant.org/translations.
+
diff --git a/.github/funding.yml b/.github/funding.yml
new file mode 100644
index 0000000..0f775a8
--- /dev/null
+++ b/.github/funding.yml
@@ -0,0 +1,14 @@
+# These are supported funding model platforms
+
+github: [erematorg]
+patreon: # Replace with a single Patreon username
+open_collective: # Replace with a single Open Collective username
+ko_fi: eremat
+tidelift: # Replace with a single Tidelift platform-name/package-name e.g., npm/babel
+community_bridge: # Replace with a single Community Bridge project-name e.g., cloud-foundry
+liberapay: # Replace with a single Liberapay username
+issuehunt: # Replace with a single IssueHunt username
+otechie: # Replace with a single Otechie username
+lfx_crowdfunding: # Replace with a single LFX Crowdfunding project-name e.g., cloud-foundry
+custom: # Replace with up to 4 custom sponsorship URLs e.g., ['link1', 'link2']
+

From 55ea842e69c73610de0f1b438d8bfecc4ef7b607 Mon Sep 17 00:00:00 2001
From: M1thieu <18742831+M1thieu@users.noreply.github.com>
Date: Tue, 11 Nov 2025 00:15:56 +0100
Subject: [PATCH 10/15] Replace AI core DSL with utility arbiter pipeline

---
 crates/systems/ai/README.md                   |  65 ++
 crates/systems/ai/src/arbiter/mod.rs          | 208 ++++
 crates/systems/ai/src/core/actions.rs         | 484 ---------
 crates/systems/ai/src/core/choices.rs         |  60 --
 crates/systems/ai/src/core/evaluators.rs      | 166 ---
 crates/systems/ai/src/core/measures.rs        |  77 --
 crates/systems/ai/src/core/mod.rs             | 156 ---
 crates/systems/ai/src/core/pickers.rs         | 127 ---
 crates/systems/ai/src/core/scorers.rs         | 991 ------------------
 crates/systems/ai/src/core/thinkers.rs        | 548 ----------
 crates/systems/ai/src/drives/needs.rs         |   7 +-
 crates/systems/ai/src/lib.rs                  |  66 +-
 crates/systems/ai/src/memory/types.rs         |   7 +-
 crates/systems/ai/src/personality/mod.rs      |   3 +-
 crates/systems/ai/src/personality/traits.rs   |   7 +-
 crates/systems/ai/src/relationships/social.rs |  11 +-
 .../systems/ai/src/trackers/entity_tracker.rs |  32 +-
 .../systems/ai/src/trackers/needs_tracker.rs  |   9 +-
 .../ai/src/trackers/perception_tracker.rs     |   6 +-
 .../systems/ai/src/trackers/prey_tracker.rs   |  14 +-
 .../systems/ai/src/trackers/threat_tracker.rs |  11 +-
 crates/systems/src/lib.rs                     |   4 +-
 examples/basic_ai.rs                          |  15 +-
 23 files changed, 389 insertions(+), 2685 deletions(-)
 create mode 100644 crates/systems/ai/README.md
 create mode 100644 crates/systems/ai/src/arbiter/mod.rs
 delete mode 100644 crates/systems/ai/src/core/actions.rs
 delete mode 100644 crates/systems/ai/src/core/choices.rs
 delete mode 100644 crates/systems/ai/src/core/evaluators.rs
 delete mode 100644 crates/systems/ai/src/core/measures.rs
 delete mode 100644 crates/systems/ai/src/core/mod.rs
 delete mode 100644 crates/systems/ai/src/core/pickers.rs
 delete mode 100644 crates/systems/ai/src/core/scorers.rs
 delete mode 100644 crates/systems/ai/src/core/thinkers.rs

diff --git a/crates/systems/ai/README.md b/crates/systems/ai/README.md
new file mode 100644
index 0000000..4eae3aa
--- /dev/null
+++ b/crates/systems/ai/README.md
@@ -0,0 +1,65 @@
+# LP AI Architecture
+
+This crate provides the agent decision loop used across Life's Progress. Every organism—plant, fungus, animal, machine—shares the same ECS-driven pipeline:
+
+```
+Perception → Trackers & Drives → State Layers (memory/emotion/social) → Utility Arbiter → Behavior Executors
+```
+
+## Key Concepts
+
+### AIModule
+Any component implementing `AIModule` exposes `update()` and `utility()` (0-1). Existing modules:
+- **Perception** - sensory cache (vision/chemical/etc.)
+- **Threat / Prey trackers** - context-specific evaluation
+- **Needs tracker** - energy/homeostasis drives
+- **Memory events** - short-term context
+- **Personality / Social graphs** - trait-based biasing
+
+Modules can publish `IntentContribution` events to compete for control (see Arbiter below).
+
+### Utility Arbiter
+`arbiter::UtilityArbiterPlugin` resets each agent’s `IntentSelection` every frame, reads `IntentContribution` events, applies continuation bias/hysteresis, and records the winning module & score. Only one intent wins per frame, providing Rain-World-style “strongest drive wins” behavior.
+
+### Behavior Executors
+Systems downstream of the arbiter read `IntentSelection` and perform actions (movement, growth, interaction). Executors will be built per intent (e.g., flee, forage, rest) and consume data from trackers/drives to apply forces or state changes.
+
+## Adding a New Decision Module
+1. Create a component implementing `AIModule` (e.g., `#[derive(Component)] struct HungerTracker`).
+2. In your system, update the module’s internal state and call `IntentContribution` to report a utility:
+```rust
+fn hunger_intent_system(
+    query: Query<(Entity, &HungerTracker)>,
+    mut writer: MessageWriter<IntentContribution>,
+) {
+    for (entity, tracker) in &query {
+        writer.write(IntentContribution {
+            entity,
+            module: "hunger",
+            utility: tracker.utility(),
+        });
+    }
+}
+```
+3. The arbiter will compare utilities (with continuation bias if the same module won last frame) and set `IntentSelection`.
+
+## Behavior Executors (WIP)
+Executors subscribe to `IntentSelection`:
+```rust
+fn flee_executor(
+    query: Query<(Entity, &IntentSelection, &mut Velocity), With<ThreatTracker>>,
+) {
+    // if `selection.winner == Some("flee")`, apply movement logic
+}
+```
+
+### End-to-end example
+See `examples/basic_ai.rs` for a minimal wiring of the full loop:
+1. Each creature owns `Perception`, `EntityTracker`, `NeedsTracker`, `ThreatTracker`, `PreyTracker`, and `IntentSelection`.
+2. Sensors fill the `EntityTracker`; tracker systems evaluate utilities and emit `IntentContribution` events via the arbiter.
+3. A behavior executor reads `IntentResolved` events, maps winners (`"threat"`, `"prey"`, `"needs"`) to locomotion commands, and world systems react to the actions.
+
+## Philosophy
+- **No DSL / behavior trees** - everything is ECS data.
+- **Species-agnostic** - modules work for plants/animals alike; species differences are just component presets.
+- **Emergence-first** - utilities are derived from physics-aware trackers/drives, not hand-authored scripts.
diff --git a/crates/systems/ai/src/arbiter/mod.rs b/crates/systems/ai/src/arbiter/mod.rs
new file mode 100644
index 0000000..f75ed20
--- /dev/null
+++ b/crates/systems/ai/src/arbiter/mod.rs
@@ -0,0 +1,208 @@
+use crate::AIModule;
+use crate::trackers::needs_tracker::NeedsTracker;
+use crate::trackers::prey_tracker::PreyTracker;
+use crate::trackers::threat_tracker::ThreatTracker;
+use bevy::prelude::*;
+use std::collections::HashMap;
+
+/// Schedule sets that ensure the arbiter runs in a predictable order each frame.
+#[derive(SystemSet, Debug, Hash, PartialEq, Eq, Clone)]
+pub enum ArbiterSet {
+    Reset,
+    Gather,
+    Evaluate,
+    Broadcast,
+}
+
+/// Component describing the intent chosen for an agent this frame.
+#[derive(Component, Debug, Default, Reflect)]
+#[reflect(Component)]
+pub struct IntentSelection {
+    /// Winner chosen this frame.
+    pub winner: Option<&'static str>,
+    /// Utility returned by the winning module (biased).
+    pub utility: f32,
+    /// Winner from the previous frame (used for continuation bias).
+    pub last_winner: Option<&'static str>,
+}
+
+impl IntentSelection {
+    fn reset_for_frame(&mut self) {
+        self.last_winner = self.winner;
+        self.winner = None;
+        self.utility = 0.0;
+    }
+}
+
+/// Resource storing arbiter tuning parameters.
+#[derive(Resource, Debug, Clone, Copy, Reflect)]
+#[reflect(Resource)]
+pub struct ArbiterConfig {
+    /// How much advantage we give to the previous winner when scores are similar.
+    pub continuation_bias: f32,
+}
+
+impl Default for ArbiterConfig {
+    fn default() -> Self {
+        Self {
+            continuation_bias: 0.05,
+        }
+    }
+}
+
+/// Event emitted by modules competing for control.
+#[derive(Message, Clone, Debug)]
+pub struct IntentContribution {
+    pub entity: Entity,
+    pub module: &'static str,
+    pub utility: f32,
+}
+
+/// Event emitted after the arbiter resolves the winning intent.
+#[derive(Message, Clone, Debug)]
+pub struct IntentResolved {
+    pub entity: Entity,
+    pub winner: Option<&'static str>,
+    pub utility: f32,
+}
+
+fn reset_intentions(mut query: Query<&mut IntentSelection>) {
+    for mut selection in &mut query {
+        selection.reset_for_frame();
+    }
+}
+
+fn gather_need_intents(
+    query: Query<(Entity, &NeedsTracker)>,
+    mut writer: MessageWriter<IntentContribution>,
+) {
+    for (entity, tracker) in &query {
+        let utility = tracker.utility();
+        if utility > 0.0 {
+            writer.write(IntentContribution {
+                entity,
+                module: "needs",
+                utility,
+            });
+        }
+    }
+}
+
+fn gather_threat_intents(
+    query: Query<(Entity, &ThreatTracker)>,
+    mut writer: MessageWriter<IntentContribution>,
+) {
+    for (entity, tracker) in &query {
+        let utility = tracker.utility();
+        if utility > 0.0 {
+            writer.write(IntentContribution {
+                entity,
+                module: "threat",
+                utility,
+            });
+        }
+    }
+}
+
+fn gather_prey_intents(
+    query: Query<(Entity, &PreyTracker)>,
+    mut writer: MessageWriter<IntentContribution>,
+) {
+    for (entity, tracker) in &query {
+        let utility = tracker.utility();
+        if utility > 0.0 {
+            writer.write(IntentContribution {
+                entity,
+                module: "prey",
+                utility,
+            });
+        }
+    }
+}
+
+fn evaluate_intentions(
+    config: Res<ArbiterConfig>,
+    mut contributions: MessageReader<IntentContribution>,
+    mut selections: Query<&mut IntentSelection>,
+) {
+    // Track the best score per entity within this frame.
+    let mut best_scores: HashMap<Entity, f32> = HashMap::default();
+
+    for contribution in contributions.read() {
+        if let Ok(mut selection) = selections.get_mut(contribution.entity) {
+            let bias = if selection.last_winner == Some(contribution.module) {
+                config.continuation_bias
+            } else {
+                0.0
+            };
+
+            let adjusted = (contribution.utility + bias).clamp(0.0, 1.0);
+            let current_best = best_scores.entry(contribution.entity).or_insert(0.0);
+
+            if adjusted > *current_best {
+                *current_best = adjusted;
+                selection.utility = adjusted;
+                selection.winner = Some(contribution.module);
+            }
+        }
+    }
+}
+
+fn broadcast_intent_selections(
+    query: Query<(Entity, &IntentSelection)>,
+    mut writer: MessageWriter<IntentResolved>,
+) {
+    for (entity, selection) in &query {
+        writer.write(IntentResolved {
+            entity,
+            winner: selection.winner,
+            utility: selection.utility,
+        });
+    }
+}
+
+/// Plugin wiring the utility arbiter into the Bevy schedule.
+#[derive(Default)]
+pub struct UtilityArbiterPlugin;
+
+impl Plugin for UtilityArbiterPlugin {
+    fn build(&self, app: &mut App) {
+        app.init_resource::<ArbiterConfig>()
+            .register_type::<ArbiterConfig>()
+            .register_type::<IntentSelection>()
+            .add_message::<IntentContribution>()
+            .add_message::<IntentResolved>()
+            .configure_sets(
+                Update,
+                (
+                    ArbiterSet::Reset,
+                    ArbiterSet::Gather,
+                    ArbiterSet::Evaluate,
+                    ArbiterSet::Broadcast,
+                )
+                    .chain(),
+            )
+            .add_systems(Update, reset_intentions.in_set(ArbiterSet::Reset))
+            .add_systems(
+                Update,
+                (
+                    gather_need_intents,
+                    gather_threat_intents,
+                    gather_prey_intents,
+                )
+                    .in_set(ArbiterSet::Gather),
+            )
+            .add_systems(Update, evaluate_intentions.in_set(ArbiterSet::Evaluate))
+            .add_systems(
+                Update,
+                broadcast_intent_selections.in_set(ArbiterSet::Broadcast),
+            );
+    }
+}
+
+pub mod prelude {
+    pub use super::{
+        ArbiterConfig, ArbiterSet, IntentContribution, IntentResolved, IntentSelection,
+        UtilityArbiterPlugin,
+    };
+}
diff --git a/crates/systems/ai/src/core/actions.rs b/crates/systems/ai/src/core/actions.rs
deleted file mode 100644
index 18395b3..0000000
--- a/crates/systems/ai/src/core/actions.rs
+++ /dev/null
@@ -1,484 +0,0 @@
-//! Defines Action-related functionality. This module includes the
-//! ActionBuilder trait and some Composite Actions for utility.
-use crate::core::thinkers::{Action, ActionSpan, Actor};
-use bevy::prelude::*;
-use std::sync::Arc;
-
-// Error message constants to reduce repetition
-const ACTION_STATE_ERROR: &str =
-    "Failed to find action state component for concurrent action entity";
-
-/// The current state for an Action. These states are changed by a combination
-/// of the Thinker that spawned it, and the actual Action system executing the
-/// Action itself.
-#[derive(Debug, Clone, Component, Eq, PartialEq, Reflect)]
-#[component(storage = "Table")]
-pub enum ActionState {
-    /// Initial state. No action should be performed.
-    Init,
-    /// Action requested. The Action-handling system should start executing this Action ASAP.
-    Requested,
-    /// The action has ongoing execution.
-    Executing,
-    /// An ongoing Action has been cancelled. **You must check whether the Cancelled state was set**
-    /// and change to either Success or Failure. Thinkers will wait on Cancelled actions to do
-    /// cleanup work, so this can hang your AI if you don't look for it.
-    Cancelled,
-    /// The Action was a success.
-    Success,
-    /// The Action failed.
-    Failure,
-}
-
-impl Default for ActionState {
-    fn default() -> Self {
-        Self::Init
-    }
-}
-
-impl ActionState {
-    pub fn new() -> Self {
-        Self::default()
-    }
-}
-
-#[derive(Debug, Clone, Eq, PartialEq)]
-pub(crate) struct ActionBuilderId;
-
-#[derive(Debug, Clone)]
-pub(crate) struct ActionBuilderWrapper(pub Arc<ActionBuilderId>, pub Arc<dyn ActionBuilder>);
-
-impl ActionBuilderWrapper {
-    pub fn new(builder: Arc<dyn ActionBuilder>) -> Self {
-        ActionBuilderWrapper(Arc::new(ActionBuilderId), builder)
-    }
-}
-
-/// Trait that must be defined by types in order to be `ActionBuilder`s.
-/// The `build()` method MUST be implemented for any `ActionBuilder`s you want to define.
-#[reflect_trait]
-pub trait ActionBuilder: std::fmt::Debug + Send + Sync {
-    /// MUST insert your concrete Action component into the Scorer [`Entity`],
-    /// using `cmd`. You _may_ use `actor`, but it's perfectly normal to just ignore it.
-    fn build(&self, cmd: &mut Commands, action: Entity, actor: Entity);
-
-    fn label(&self) -> Option<&str> {
-        None
-    }
-}
-
-/// Spawns a new Action Component, using the given ActionBuilder.
-pub fn spawn_action<T: ActionBuilder + ?Sized>(
-    builder: &T,
-    cmd: &mut Commands,
-    actor: Entity,
-) -> Entity {
-    let action_ent = Action(cmd.spawn_empty().id());
-    let span = ActionSpan::new(action_ent.entity(), ActionBuilder::label(builder));
-    let _guard = span.span().enter();
-    debug!("New Action spawned.");
-    cmd.entity(action_ent.entity())
-        .insert(Name::new("Action"))
-        .insert(ActionState::new())
-        .insert(Actor(actor));
-    builder.build(cmd, action_ent.entity(), actor);
-    std::mem::drop(_guard);
-    cmd.entity(action_ent.entity()).insert(span);
-    action_ent.entity()
-}
-
-/// [`ActionBuilder`] for the [`Steps`] component.
-#[derive(Debug, Reflect)]
-#[reflect(ActionBuilder)]
-pub struct StepsBuilder {
-    label: Option<String>,
-    steps_labels: Vec<String>,
-    #[reflect(ignore)]
-    steps: Vec<Arc<dyn ActionBuilder>>,
-}
-
-impl StepsBuilder {
-    pub fn label<S: Into<String>>(mut self, label: S) -> Self {
-        self.label = Some(label.into());
-        self
-    }
-
-    pub fn step(mut self, action_builder: impl ActionBuilder + 'static) -> Self {
-        if let Some(label) = action_builder.label() {
-            self.steps_labels.push(label.into());
-        } else {
-            self.steps_labels.push("Unlabeled Action".into());
-        }
-        self.steps.push(Arc::new(action_builder));
-        self
-    }
-}
-
-impl ActionBuilder for StepsBuilder {
-    fn label(&self) -> Option<&str> {
-        self.label.as_deref()
-    }
-
-    fn build(&self, cmd: &mut Commands, action: Entity, actor: Entity) {
-        if let Some(step) = self.steps.first() {
-            let child_action = spawn_action(step.as_ref(), cmd, actor);
-            cmd.entity(action)
-                .insert(Name::new("Steps Action"))
-                .insert(Steps {
-                    active_step: 0,
-                    active_ent: Action(child_action),
-                    steps: self.steps.clone(),
-                    steps_labels: self.steps_labels.clone(),
-                })
-                .add_children(&[child_action]);
-        }
-    }
-}
-
-/// Composite Action that executes a series of steps in sequential order.
-#[derive(Component, Debug, Reflect)]
-pub struct Steps {
-    #[reflect(ignore)]
-    steps: Vec<Arc<dyn ActionBuilder>>,
-    steps_labels: Vec<String>,
-    active_step: usize,
-    active_ent: Action,
-}
-
-impl Steps {
-    pub fn build() -> StepsBuilder {
-        StepsBuilder {
-            steps: Vec::new(),
-            steps_labels: Vec::new(),
-            label: None,
-        }
-    }
-}
-
-/// System that executes [`Steps`] Actions.
-pub fn steps_system(
-    mut cmd: Commands,
-    mut steps_q: Query<(Entity, &Actor, &mut Steps, &ActionSpan)>,
-    mut states: Query<&mut ActionState>,
-) {
-    use ActionState::*;
-    for (seq_ent, Actor(actor), mut steps_action, _span) in steps_q.iter_mut() {
-        let active_ent = steps_action.active_ent.entity();
-        let current_state = states.get_mut(seq_ent).unwrap().clone();
-        #[cfg(feature = "trace")]
-        let _guard = _span.span().enter();
-
-        match current_state {
-            Requested => {
-                #[cfg(feature = "trace")]
-                trace!(
-                    "Initializing StepsAction and requesting first step: {:?}",
-                    active_ent
-                );
-                *states.get_mut(active_ent).unwrap() = Requested;
-                *states.get_mut(seq_ent).unwrap() = Executing;
-            }
-            Executing => {
-                let mut step_state = states.get_mut(active_ent).unwrap();
-                match *step_state {
-                    Init => *step_state = Requested,
-                    Executing | Requested => {}
-                    Cancelled => {}
-                    Failure => {
-                        #[cfg(feature = "trace")]
-                        trace!("Step {:?} failed. Failing entire StepsAction.", active_ent);
-                        let step_state = step_state.clone();
-                        let mut seq_state = states
-                            .get_mut(seq_ent)
-                            .expect("Failed to find action state for sequence entity");
-                        *seq_state = step_state;
-                        if let Ok(mut ent) = cmd.get_entity(steps_action.active_ent.entity()) {
-                            ent.despawn();
-                        }
-                    }
-                    Success if steps_action.active_step == steps_action.steps.len() - 1 => {
-                        #[cfg(feature = "trace")]
-                        trace!("StepsAction completed all steps successfully.");
-                        let step_state = step_state.clone();
-                        let mut seq_state = states
-                            .get_mut(seq_ent)
-                            .expect("Failed to find action state for sequence entity");
-                        *seq_state = step_state;
-                        if let Ok(mut ent) = cmd.get_entity(steps_action.active_ent.entity()) {
-                            ent.despawn();
-                        }
-                    }
-                    Success => {
-                        #[cfg(feature = "trace")]
-                        trace!("Step succeeded, but there's more steps. Spawning next action.");
-                        if let Ok(mut ent) = cmd.get_entity(steps_action.active_ent.entity()) {
-                            ent.despawn();
-                        }
-                        steps_action.active_step += 1;
-                        let step_builder = steps_action.steps[steps_action.active_step].clone();
-                        let step_ent = spawn_action(step_builder.as_ref(), &mut cmd, *actor);
-                        #[cfg(feature = "trace")]
-                        trace!("Spawned next step: {:?}", step_ent);
-                        cmd.entity(seq_ent).add_children(&[step_ent]);
-                        steps_action.active_ent = Action(step_ent);
-                    }
-                }
-            }
-            Cancelled => {
-                #[cfg(feature = "trace")]
-                trace!(
-                    "StepsAction has been cancelled. Cancelling current step {:?} before finalizing.",
-                    active_ent
-                );
-                let mut step_state = states
-                    .get_mut(active_ent)
-                    .expect("Failed to find action state for active step entity");
-                if matches!(*step_state, Requested | Executing | Init) {
-                    *step_state = Cancelled;
-                } else if matches!(*step_state, Failure | Success) {
-                    *states.get_mut(seq_ent).unwrap() = step_state.clone();
-                }
-            }
-            Init | Success | Failure => {}
-        }
-    }
-}
-
-/// Configures what mode the [`Concurrently`] action will run in.
-#[derive(Copy, Clone, Debug, PartialEq, Eq, Hash, Reflect)]
-pub enum ConcurrentMode {
-    Race,
-    Join,
-}
-
-/// [`ActionBuilder`] for the [`Concurrently`] component.
-#[derive(Debug, Reflect)]
-pub struct ConcurrentlyBuilder {
-    mode: ConcurrentMode,
-    #[reflect(ignore)]
-    actions: Vec<Arc<dyn ActionBuilder>>,
-    action_labels: Vec<String>,
-    label: Option<String>,
-}
-
-impl ConcurrentlyBuilder {
-    pub fn label<S: Into<String>>(mut self, label: S) -> Self {
-        self.label = Some(label.into());
-        self
-    }
-
-    pub fn push(mut self, action_builder: impl ActionBuilder + 'static) -> Self {
-        if let Some(label) = action_builder.label() {
-            self.action_labels.push(label.into());
-        } else {
-            self.action_labels.push("Unnamed Action".into());
-        }
-        self.actions.push(Arc::new(action_builder));
-        self
-    }
-
-    pub fn mode(mut self, mode: ConcurrentMode) -> Self {
-        self.mode = mode;
-        self
-    }
-}
-
-impl ActionBuilder for ConcurrentlyBuilder {
-    fn label(&self) -> Option<&str> {
-        self.label.as_deref()
-    }
-
-    fn build(&self, cmd: &mut Commands, action: Entity, actor: Entity) {
-        let children: Vec<Entity> = self
-            .actions
-            .iter()
-            .map(|action| spawn_action(action.as_ref(), cmd, actor))
-            .collect();
-        cmd.entity(action)
-            .insert(Name::new("Concurrent Action"))
-            .add_children(&children[..])
-            .insert(Concurrently {
-                actions: children.into_iter().map(Action).collect(),
-                action_labels: self.action_labels.clone(),
-                mode: self.mode,
-            });
-    }
-}
-
-/// Composite Action that executes a number of Actions concurrently.
-#[derive(Component, Debug, Reflect)]
-pub struct Concurrently {
-    mode: ConcurrentMode,
-    actions: Vec<Action>,
-    action_labels: Vec<String>,
-}
-
-impl Concurrently {
-    pub fn build() -> ConcurrentlyBuilder {
-        ConcurrentlyBuilder {
-            actions: Vec::new(),
-            action_labels: Vec::new(),
-            mode: ConcurrentMode::Join,
-            label: None,
-        }
-    }
-}
-
-/// System that executes [`Concurrently`] Actions.
-pub fn concurrent_system(
-    concurrent_q: Query<(Entity, &Concurrently, &ActionSpan)>,
-    mut states_q: Query<&mut ActionState>,
-) {
-    use ActionState::*;
-    for (seq_ent, concurrent_action, _span) in concurrent_q.iter() {
-        let current_state = states_q
-            .get_mut(seq_ent)
-            .expect("Failed to find action state for concurrent sequence entity")
-            .clone();
-        #[cfg(feature = "trace")]
-        let _guard = _span.span.enter();
-
-        match current_state {
-            Requested => {
-                #[cfg(feature = "trace")]
-                trace!(
-                    "Initializing Concurrently action with {} children.",
-                    concurrent_action.actions.len()
-                );
-                let mut current_state = states_q.get_mut(seq_ent).expect(ACTION_STATE_ERROR);
-                *current_state = Executing;
-                for action in concurrent_action.actions.iter() {
-                    let child_ent = action.entity();
-                    let mut child_state = states_q.get_mut(child_ent).expect(ACTION_STATE_ERROR);
-                    *child_state = Requested;
-                }
-            }
-            Executing => match concurrent_action.mode {
-                ConcurrentMode::Join => {
-                    let mut all_success = true;
-                    let mut failed_idx = None;
-                    for (idx, action) in concurrent_action.actions.iter().enumerate() {
-                        let child_ent = action.entity();
-                        let mut child_state =
-                            states_q.get_mut(child_ent).expect(ACTION_STATE_ERROR);
-                        match *child_state {
-                            Failure => {
-                                failed_idx = Some(idx);
-                                all_success = false;
-                                #[cfg(feature = "trace")]
-                                trace!(
-                                    "Join action has failed. Cancelling all other actions that haven't completed yet."
-                                );
-                            }
-                            Success => {}
-                            _ => {
-                                all_success = false;
-                                if failed_idx.is_some() {
-                                    *child_state = Cancelled;
-                                }
-                            }
-                        }
-                    }
-                    if all_success {
-                        *states_q.get_mut(seq_ent).expect(ACTION_STATE_ERROR) = Success;
-                    } else if let Some(idx) = failed_idx {
-                        for action in concurrent_action.actions.iter().take(idx) {
-                            let child_ent = action.entity();
-                            let mut child_state =
-                                states_q.get_mut(child_ent).expect(ACTION_STATE_ERROR);
-                            if !matches!(*child_state, Failure | Success) {
-                                *child_state = Cancelled;
-                            }
-                        }
-                        *states_q.get_mut(seq_ent).expect(ACTION_STATE_ERROR) = Failure;
-                    }
-                }
-                ConcurrentMode::Race => {
-                    let mut all_failure = true;
-                    let mut succeed_idx = None;
-                    for (idx, action) in concurrent_action.actions.iter().enumerate() {
-                        let child_ent = action.entity();
-                        let mut child_state =
-                            states_q.get_mut(child_ent).expect(ACTION_STATE_ERROR);
-                        match *child_state {
-                            Failure => {}
-                            Success => {
-                                succeed_idx = Some(idx);
-                                all_failure = false;
-                                #[cfg(feature = "trace")]
-                                trace!(
-                                    "Race action has succeeded. Cancelling all other actions that haven't completed yet."
-                                );
-                            }
-                            _ => {
-                                all_failure = false;
-                                if succeed_idx.is_some() {
-                                    *child_state = Cancelled;
-                                }
-                            }
-                        }
-                    }
-                    if all_failure {
-                        *states_q.get_mut(seq_ent).expect(ACTION_STATE_ERROR) = Failure;
-                    } else if let Some(idx) = succeed_idx {
-                        for action in concurrent_action.actions.iter().take(idx) {
-                            let child_ent = action.entity();
-                            let mut child_state =
-                                states_q.get_mut(child_ent).expect(ACTION_STATE_ERROR);
-                            if !matches!(*child_state, Failure | Success) {
-                                *child_state = Cancelled;
-                            }
-                        }
-                        *states_q.get_mut(seq_ent).expect(ACTION_STATE_ERROR) = Success;
-                    }
-                }
-            },
-            Cancelled => {
-                let mut all_done = true;
-                let mut any_failed = false;
-                let mut any_success = false;
-                for action in concurrent_action.actions.iter() {
-                    let child_ent = action.entity();
-                    let mut child_state = states_q.get_mut(child_ent).expect(ACTION_STATE_ERROR);
-                    match *child_state {
-                        Init => {}
-                        Success => any_success = true,
-                        Failure => any_failed = true,
-                        _ => {
-                            all_done = false;
-                            *child_state = Cancelled;
-                        }
-                    }
-                }
-                if all_done {
-                    let mut state_var = states_q.get_mut(seq_ent).expect(ACTION_STATE_ERROR);
-                    match concurrent_action.mode {
-                        ConcurrentMode::Race => {
-                            if any_success {
-                                #[cfg(feature = "trace")]
-                                trace!("Race action has succeeded due to succeeded children.");
-                                *state_var = Success;
-                            } else {
-                                #[cfg(feature = "trace")]
-                                trace!("No race children has completed Successfully.");
-                                *state_var = Failure;
-                            }
-                        }
-                        ConcurrentMode::Join => {
-                            if any_failed {
-                                #[cfg(feature = "trace")]
-                                trace!("Join action has failed due to failed children.");
-                                *state_var = Failure;
-                            } else {
-                                #[cfg(feature = "trace")]
-                                trace!("All Join children have completed Successfully.");
-                                *state_var = Success;
-                            }
-                        }
-                    }
-                }
-            }
-            Init | Success | Failure => {}
-        }
-    }
-}
diff --git a/crates/systems/ai/src/core/choices.rs b/crates/systems/ai/src/core/choices.rs
deleted file mode 100644
index 0909c09..0000000
--- a/crates/systems/ai/src/core/choices.rs
+++ /dev/null
@@ -1,60 +0,0 @@
-use std::sync::Arc;
-
-use bevy::prelude::*;
-
-use crate::core::{
-    actions::{ActionBuilder, ActionBuilderWrapper},
-    scorers::{self, Score, ScorerBuilder},
-    thinkers::Scorer,
-};
-
-/// Contains different types of Considerations and Actions
-#[derive(Debug, Clone, Reflect)]
-#[reflect(from_reflect = false)]
-pub struct Choice {
-    pub(crate) scorer: Scorer,
-    #[reflect(ignore)]
-    pub(crate) action: ActionBuilderWrapper,
-    pub(crate) action_label: Option<String>,
-}
-
-impl Choice {
-    pub fn calculate(&self, scores: &Query<&Score>) -> f32 {
-        scores
-            .get(self.scorer.0)
-            .expect("Failed to find score component for choice scorer")
-            .0
-    }
-}
-
-/// Builds a new [`Choice`].
-#[derive(Clone, Debug, Reflect)]
-#[reflect(from_reflect = false)]
-pub struct ChoiceBuilder {
-    when_label: Option<String>,
-    #[reflect(ignore)]
-    pub when: Arc<dyn ScorerBuilder>,
-    then_label: Option<String>,
-    #[reflect(ignore)]
-    pub then: Arc<dyn ActionBuilder>,
-}
-impl ChoiceBuilder {
-    pub fn new(scorer: Arc<dyn ScorerBuilder>, action: Arc<dyn ActionBuilder>) -> Self {
-        Self {
-            when_label: scorer.label().map(|s| s.into()),
-            when: scorer,
-            then_label: action.label().map(|s| s.into()),
-            then: action,
-        }
-    }
-
-    pub fn build(&self, cmd: &mut Commands, actor: Entity, parent: Entity) -> Choice {
-        let scorer_ent = scorers::spawn_scorer(&*self.when, cmd, actor);
-        cmd.entity(parent).add_child(scorer_ent);
-        Choice {
-            scorer: Scorer(scorer_ent),
-            action_label: self.then.label().map(|s| s.into()),
-            action: ActionBuilderWrapper::new(self.then.clone()),
-        }
-    }
-}
diff --git a/crates/systems/ai/src/core/evaluators.rs b/crates/systems/ai/src/core/evaluators.rs
deleted file mode 100644
index 06e9eac..0000000
--- a/crates/systems/ai/src/core/evaluators.rs
+++ /dev/null
@@ -1,166 +0,0 @@
-use bevy::prelude::*;
-
-/**
-Trait that any evaluators must implement. Must return an `f32` value between `0.0..=100.0`.
- */
-#[reflect_trait]
-pub trait Evaluator: std::fmt::Debug + Sync + Send {
-    fn evaluate(&self, value: f32) -> f32;
-}
-
-/**
-[`Evaluator`] for linear values. That is, there's no curve to the value mapping.
- */
-#[derive(Debug, Clone, Reflect)]
-pub struct LinearEvaluator {
-    xa: f32,
-    ya: f32,
-    yb: f32,
-    dy_over_dx: f32,
-}
-
-impl LinearEvaluator {
-    pub fn new() -> Self {
-        Self::new_full(0.0, 0.0, 1.0, 1.0)
-    }
-    pub fn new_inversed() -> Self {
-        Self::new_ranged(1.0, 0.0)
-    }
-    pub fn new_ranged(min: f32, max: f32) -> Self {
-        Self::new_full(min, 0.0, max, 1.0)
-    }
-    fn new_full(xa: f32, ya: f32, xb: f32, yb: f32) -> Self {
-        Self {
-            xa,
-            ya,
-            yb,
-            dy_over_dx: (yb - ya) / (xb - xa),
-        }
-    }
-}
-
-impl Default for LinearEvaluator {
-    fn default() -> Self {
-        Self::new()
-    }
-}
-
-impl Evaluator for LinearEvaluator {
-    fn evaluate(&self, value: f32) -> f32 {
-        clamp(
-            self.ya + self.dy_over_dx * (value - self.xa),
-            self.ya,
-            self.yb,
-        )
-    }
-}
-
-/**
-[`Evaluator`] with an exponent curve. The value will grow according to its `power` parameter.
- */
-#[derive(Debug, Clone, Reflect)]
-pub struct PowerEvaluator {
-    xa: f32,
-    ya: f32,
-    xb: f32,
-    power: f32,
-    dy: f32,
-}
-
-impl PowerEvaluator {
-    pub fn new(power: f32) -> Self {
-        Self::new_full(power, 0.0, 0.0, 1.0, 1.0)
-    }
-    pub fn new_ranged(power: f32, min: f32, max: f32) -> Self {
-        Self::new_full(power, min, 0.0, max, 1.0)
-    }
-    fn new_full(power: f32, xa: f32, ya: f32, xb: f32, yb: f32) -> Self {
-        Self {
-            power: clamp(power, 0.0, 10000.0),
-            dy: yb - ya,
-            xa,
-            ya,
-            xb,
-        }
-    }
-}
-
-impl Default for PowerEvaluator {
-    fn default() -> Self {
-        Self::new(2.0)
-    }
-}
-
-impl Evaluator for PowerEvaluator {
-    fn evaluate(&self, value: f32) -> f32 {
-        let cx = clamp(value, self.xa, self.xb);
-        self.dy * ((cx - self.xa) / (self.xb - self.xa)).powf(self.power) + self.ya
-    }
-}
-
-/**
-[`Evaluator`] with a "Sigmoid", or "S-like" curve.
- */
-#[derive(Debug, Clone, Reflect)]
-pub struct SigmoidEvaluator {
-    xa: f32,
-    xb: f32,
-    ya: f32,
-    yb: f32,
-    k: f32,
-    two_over_dx: f32,
-    x_mean: f32,
-    y_mean: f32,
-    dy_over_two: f32,
-    one_minus_k: f32,
-}
-
-impl SigmoidEvaluator {
-    pub fn new(k: f32) -> Self {
-        Self::new_full(k, 0.0, 0.0, 1.0, 1.0)
-    }
-
-    pub fn new_ranged(k: f32, min: f32, max: f32) -> Self {
-        Self::new_full(k, min, 0.0, max, 1.0)
-    }
-
-    fn new_full(k: f32, xa: f32, ya: f32, xb: f32, yb: f32) -> Self {
-        let k = clamp(k, -0.99999, 0.99999);
-        Self {
-            xa,
-            xb,
-            ya,
-            yb,
-            two_over_dx: (2.0 / (xb - ya)).abs(),
-            x_mean: (xa + xb) / 2.0,
-            y_mean: (ya + yb) / 2.0,
-            dy_over_two: (yb - ya) / 2.0,
-            one_minus_k: 1.0 - k,
-            k,
-        }
-    }
-}
-
-impl Evaluator for SigmoidEvaluator {
-    fn evaluate(&self, x: f32) -> f32 {
-        let cx_minus_x_mean = clamp(x, self.xa, self.xb) - self.x_mean;
-        let numerator = self.two_over_dx * cx_minus_x_mean * self.one_minus_k;
-        let denominator = self.k * (1.0 - 2.0 * (self.two_over_dx * cx_minus_x_mean)).abs() + 1.0;
-        clamp(
-            self.dy_over_two * (numerator / denominator) + self.y_mean,
-            self.ya,
-            self.yb,
-        )
-    }
-}
-
-impl Default for SigmoidEvaluator {
-    fn default() -> Self {
-        Self::new(-0.5)
-    }
-}
-
-pub(crate) fn clamp<T: PartialOrd>(val: T, min: T, max: T) -> T {
-    let val = if val > max { max } else { val };
-    if val < min { min } else { val }
-}
diff --git a/crates/systems/ai/src/core/measures.rs b/crates/systems/ai/src/core/measures.rs
deleted file mode 100644
index 009366f..0000000
--- a/crates/systems/ai/src/core/measures.rs
+++ /dev/null
@@ -1,77 +0,0 @@
-//! * A series of
-//!   [Measures](https://en.wikipedia.org/wiki/Measure_(mathematics)) used to
-//!  * weight score.
-
-use bevy::prelude::*;
-
-use crate::prelude::Score;
-
-/// A Measure trait describes a way to combine scores together.
-#[reflect_trait]
-pub trait Measure: std::fmt::Debug + Sync + Send {
-    /// Calculates a score from the child scores
-    fn calculate(&self, inputs: Vec<(&Score, f32)>) -> f32;
-}
-
-/// A measure that adds all the elements together and multiplies them by the
-/// weight.
-#[derive(Debug, Clone, Reflect)]
-pub struct WeightedSum;
-
-impl Measure for WeightedSum {
-    fn calculate(&self, scores: Vec<(&Score, f32)>) -> f32 {
-        scores
-            .iter()
-            .fold(0f32, |acc, (score, weight)| acc + score.0 * weight)
-    }
-}
-
-/// A measure that multiplies all the elements together.
-#[derive(Debug, Clone, Reflect)]
-pub struct WeightedProduct;
-
-impl Measure for WeightedProduct {
-    fn calculate(&self, scores: Vec<(&Score, f32)>) -> f32 {
-        if scores.is_empty() {
-            return 0.0;
-        }
-
-        scores
-            .iter()
-            .fold(1.0f32, |acc, (score, weight)| acc * score.0 * weight)
-    }
-}
-
-/// A measure that returns the max of the weighted child scares based on the
-/// one-dimensional (Chebychev
-/// Distance)[https://en.wikipedia.org/wiki/Chebyshev_distance].
-#[derive(Debug, Clone, Reflect)]
-pub struct ChebyshevDistance;
-
-impl Measure for ChebyshevDistance {
-    fn calculate(&self, scores: Vec<(&Score, f32)>) -> f32 {
-        scores
-            .iter()
-            .fold(0f32, |best, (score, weight)| (score.0 * weight).max(best))
-    }
-}
-
-/// The default measure which uses a weight to provide an intuitive curve.
-#[derive(Debug, Clone, Default, Reflect)]
-pub struct WeightedMeasure;
-
-impl Measure for WeightedMeasure {
-    fn calculate(&self, scores: Vec<(&Score, f32)>) -> f32 {
-        let wsum: f32 = scores.iter().map(|(_score, weight)| weight).sum();
-
-        if wsum == 0.0 {
-            0.0
-        } else {
-            scores
-                .iter()
-                .map(|(score, weight)| weight / wsum * score.get().powf(2.0))
-                .sum::<f32>()
-                .powf(1.0 / 2.0)
-        }
-    }
-}
diff --git a/crates/systems/ai/src/core/mod.rs b/crates/systems/ai/src/core/mod.rs
deleted file mode 100644
index 5acb995..0000000
--- a/crates/systems/ai/src/core/mod.rs
+++ /dev/null
@@ -1,156 +0,0 @@
-//! Core AI module for LP
-//!
-//! Provides a utility AI system with composable scorers, actions, and thinkers
-//! for sophisticated agent behavior in dynamic ecosystems.
-
-pub mod actions;
-pub mod choices;
-pub mod evaluators;
-pub mod measures;
-pub mod pickers;
-pub mod scorers;
-pub mod thinkers;
-
-/// Prelude for the core AI module.
-///
-/// This includes the most common types you'll need when working with LP's AI system.
-/// Use with `use crate::systems::ai::core::prelude::*;`
-pub mod prelude {
-    // Actions (ActionBuilder and ActionState are in actions, but Action is in thinkers)
-    pub use crate::core::actions::{
-        ActionBuilder, ActionState, ConcurrentMode, Concurrently, Steps,
-    };
-
-    // Scorers
-    pub use crate::core::scorers::{
-        AllOrNothing, EvaluatingScorer, FixedScore, MeasuredScorer, ProductOfScorers, Score,
-        ScorerBuilder, SumOfScorers, UtilitySmoothing, WinningScorer,
-    };
-
-    // Thinkers (includes Action, Actor, etc.)
-    pub use crate::core::thinkers::{
-        Action, ActionSpan, Actor, HasThinker, Scorer, ScorerSpan, Thinker, ThinkerBuilder,
-    };
-
-    // Evaluators
-    pub use crate::core::evaluators::{
-        Evaluator, LinearEvaluator, PowerEvaluator, SigmoidEvaluator,
-    };
-
-    // Measures
-    pub use crate::core::measures::{ChebyshevDistance, Measure, WeightedProduct, WeightedSum};
-
-    // Pickers
-    pub use crate::core::pickers::{FirstToScore, Highest, HighestToScore, Picker};
-
-    // Choices
-    pub use crate::core::choices::{Choice, ChoiceBuilder};
-}
-
-use bevy::{
-    ecs::{intern::Interned, schedule::ScheduleLabel},
-    prelude::*,
-};
-
-/// Core plugin for LP's AI system. Provides utility AI functionality.
-///
-/// Add this plugin to enable AI behaviors in your app.
-///
-/// # Example
-/// ```rust
-/// # use bevy::prelude::*;
-/// # use ai::prelude::*;
-/// App::new()
-///     .add_plugins(DefaultPlugins)
-///     .add_plugins(LPAIPlugin::new(PreUpdate))
-///     .run();
-/// ```
-#[derive(Debug, Clone, Reflect)]
-#[reflect(from_reflect = false)]
-pub struct LPAIPlugin {
-    #[reflect(ignore)]
-    schedule: Interned<dyn ScheduleLabel>,
-    #[reflect(ignore)]
-    cleanup_schedule: Interned<dyn ScheduleLabel>,
-}
-
-impl Default for LPAIPlugin {
-    fn default() -> Self {
-        Self::new(Update)
-    }
-}
-
-impl LPAIPlugin {
-    /// Create the AI plugin which runs in the specified schedule
-    pub fn new(schedule: impl ScheduleLabel) -> Self {
-        Self {
-            schedule: schedule.intern(),
-            cleanup_schedule: Last.intern(),
-        }
-    }
-
-    /// Set the schedule for cleanup tasks (default: Last)
-    pub fn with_cleanup_schedule(mut self, cleanup_schedule: impl ScheduleLabel) -> Self {
-        self.cleanup_schedule = cleanup_schedule.intern();
-        self
-    }
-}
-
-impl Plugin for LPAIPlugin {
-    fn build(&self, app: &mut App) {
-        app.configure_sets(
-            self.schedule.intern(),
-            (AISet::Scorers, AISet::Thinkers, AISet::Actions).chain(),
-        )
-        .register_type::<scorers::UtilitySmoothing>()
-        .configure_sets(self.cleanup_schedule.intern(), AISet::Cleanup)
-        // Add scorer systems
-        .add_systems(
-            self.schedule.intern(),
-            (
-                scorers::fixed_score_system,
-                scorers::measured_scorers_system,
-                scorers::all_or_nothing_system,
-                scorers::sum_of_scorers_system,
-                scorers::product_of_scorers_system,
-                scorers::winning_scorer_system,
-                scorers::evaluating_scorer_system,
-                scorers::utility_smoothing_system,
-            )
-                .in_set(AISet::Scorers),
-        )
-        // Add thinker systems
-        .add_systems(
-            self.schedule.intern(),
-            thinkers::thinker_system.in_set(AISet::Thinkers),
-        )
-        // Add action systems
-        .add_systems(
-            self.schedule.intern(),
-            (actions::steps_system, actions::concurrent_system).in_set(AISet::Actions),
-        )
-        // Add cleanup systems
-        .add_systems(
-            self.cleanup_schedule.intern(),
-            (
-                thinkers::thinker_component_attach_system,
-                thinkers::thinker_component_detach_system,
-                thinkers::actor_gone_cleanup,
-            )
-                .in_set(AISet::Cleanup),
-        );
-    }
-}
-
-/// System sets for organizing AI-related systems
-#[derive(Clone, Debug, Hash, Eq, PartialEq, SystemSet, Reflect)]
-pub enum AISet {
-    /// Scorers evaluate world state
-    Scorers,
-    /// Thinkers make decisions based on scores
-    Thinkers,
-    /// Actions execute the chosen behaviors
-    Actions,
-    /// Cleanup tasks run last
-    Cleanup,
-}
diff --git a/crates/systems/ai/src/core/pickers.rs b/crates/systems/ai/src/core/pickers.rs
deleted file mode 100644
index 383f1f6..0000000
--- a/crates/systems/ai/src/core/pickers.rs
+++ /dev/null
@@ -1,127 +0,0 @@
-//! Pickers are used by Thinkers to determine which of its Scorers will "win".
-
-use bevy::prelude::*;
-
-use crate::core::{choices::Choice, scorers::Score};
-
-/// Required trait for Pickers. A Picker is given a slice of choices and a
-/// query that can be passed into `Choice::calculate`.
-///
-/// Implementations of `pick` must return `Some(Choice)` for the `Choice` that
-/// was picked, or `None`.
-#[reflect_trait]
-pub trait Picker: std::fmt::Debug + Sync + Send {
-    fn pick<'a>(&self, choices: &'a [Choice], scores: &Query<&Score>) -> Option<&'a Choice>;
-}
-
-/// Picker that chooses the first `Choice` with a [`Score`] higher than its
-/// configured `threshold`.
-///
-/// ### Example
-///
-/// ```
-/// # use ai::prelude::*;
-/// # fn main() {
-/// Thinker::build()
-///     .picker(FirstToScore::new(0.8))
-///     // .when(...)
-/// # ;
-/// # }
-/// ```
-#[derive(Debug, Clone, Default)]
-pub struct FirstToScore {
-    pub threshold: f32,
-}
-
-impl FirstToScore {
-    pub fn new(threshold: f32) -> Self {
-        Self { threshold }
-    }
-}
-
-impl Picker for FirstToScore {
-    fn pick<'a>(&self, choices: &'a [Choice], scores: &Query<&Score>) -> Option<&'a Choice> {
-        for choice in choices {
-            let value = choice.calculate(scores);
-            if value >= self.threshold {
-                return Some(choice);
-            }
-        }
-        None
-    }
-}
-
-/// Picker that chooses the `Choice` with the highest non-zero [`Score`], and the first highest in case of a tie.
-///
-/// ### Example
-///
-/// ```
-/// # use ai::prelude::*;
-/// # fn main() {
-/// Thinker::build()
-///     .picker(Highest)
-///     // .when(...)
-/// # ;
-/// # }
-/// ```
-#[derive(Debug, Clone, Default)]
-pub struct Highest;
-
-impl Picker for Highest {
-    fn pick<'a>(&self, choices: &'a [Choice], scores: &Query<&Score>) -> Option<&'a Choice> {
-        let mut max_score = 0f32;
-
-        choices.iter().fold(None, |acc, choice| {
-            let score = choice.calculate(scores);
-
-            if score <= max_score || score <= 0.0 {
-                return acc;
-            }
-
-            max_score = score;
-            Some(choice)
-        })
-    }
-}
-
-/// Picker that chooses the highest `Choice` with a [`Score`] higher than its
-/// configured `threshold`.
-///
-/// ### Example
-///
-/// ```
-/// # use ai::prelude::*;
-/// # fn main() {
-/// Thinker::build()
-///     .picker(HighestToScore::new(0.8))
-///     // .when(...)
-/// # ;
-/// # }
-/// ```
-#[derive(Debug, Clone, Default)]
-pub struct HighestToScore {
-    pub threshold: f32,
-}
-
-impl HighestToScore {
-    pub fn new(threshold: f32) -> Self {
-        Self { threshold }
-    }
-}
-
-impl Picker for HighestToScore {
-    fn pick<'a>(&self, choices: &'a [Choice], scores: &Query<&Score>) -> Option<&'a Choice> {
-        let mut highest_score = 0f32;
-
-        choices.iter().fold(None, |acc, choice| {
-            let score = choice.calculate(scores);
-
-            if score <= self.threshold || score <= highest_score {
-                return acc;
-            }
-
-            highest_score = score;
-            Some(choice)
-        })
-    }
-}
diff --git a/crates/systems/ai/src/core/scorers.rs b/crates/systems/ai/src/core/scorers.rs
deleted file mode 100644
index bbfff6d..0000000
--- a/crates/systems/ai/src/core/scorers.rs
+++ /dev/null
@@ -1,991 +0,0 @@
-//! Scorers look at the world and boil down arbitrary characteristics into a
-//! range of 0.0..=1.0. This module includes the ScorerBuilder trait and some
-//! built-in Composite Scorers.
-
-use std::{cmp::Ordering, sync::Arc};
-
-use bevy::prelude::*;
-
-use crate::core::{
-    evaluators::Evaluator,
-    measures::{Measure, WeightedMeasure},
-    thinkers::{Actor, Scorer, ScorerSpan},
-};
-
-/// Score value between `0.0..=1.0` associated with a Scorer.
-///
-/// This type represents normalized utility scores used throughout the AI system.
-/// It provides math operations for combining and transforming scores.
-#[derive(Clone, Copy, Component, Debug, Default, Reflect, PartialEq, PartialOrd)]
-pub struct Score(pub(crate) f32);
-
-impl Score {
-    /// Common score constants
-    pub const ZERO: Self = Self(0.0);
-    pub const HALF: Self = Self(0.5);
-    pub const MAX: Self = Self(1.0);
-
-    /// Create a new score, clamping to valid range `0.0..=1.0`
-    pub fn new(value: f32) -> Self {
-        Self(value.clamp(0.0, 1.0))
-    }
-
-    /// Returns the `Score`'s current value.
-    pub fn get(&self) -> f32 {
-        self.0
-    }
-
-    /// Get the raw score value (alias for `get()`)
-    pub fn value(&self) -> f32 {
-        self.0
-    }
-
-    /// Set the `Score`'s value.
-    ///
-    /// Values outside `0.0..=1.0` will be automatically clamped to the valid range.
-    pub fn set(&mut self, value: f32) {
-        self.0 = value.clamp(0.0, 1.0);
-    }
-
-    /// Set the `Score`'s value. Allows values outside the range `0.0..=1.0`
-    /// WARNING: `Scorer`s are significantly harder to compose when there
-    /// isn't a set scale. Avoid using unless it's not feasible to rescale
-    /// and use `set` instead.
-    pub fn set_unchecked(&mut self, value: f32) {
-        self.0 = value;
-    }
-
-    /// Helper function for clamping trait values to valid range
-    pub fn clamp_trait_value(value: f32) -> f32 {
-        value.clamp(0.0, 1.0)
-    }
-
-    /// Normalize a collection of scores to sum to 1.0
-    pub fn normalize_scores(scores: &mut [Score]) {
-        let total: f32 = scores.iter().map(|score| score.value()).sum();
-        if total > 0.0 {
-            for score in scores.iter_mut() {
-                *score = Score::new(score.value() / total);
-            }
-        } else {
-            // If all scores are 0, distribute evenly
-            let equal_value = if scores.is_empty() {
-                0.0
-            } else {
-                1.0 / scores.len() as f32
-            };
-            for score in scores.iter_mut() {
-                *score = Score::new(equal_value);
-            }
-        }
-    }
-
-    /// Multiply the score by a factor (adjusts importance)
-    pub fn multiply_by_factor(&self, factor: f32) -> Self {
-        Self::new(self.0 * factor)
-    }
-
-    /// Combine two scores with AND logic (both must be true)
-    /// Returns lower values as both scores must be high
-    pub fn and_with(&self, other: &Self) -> Self {
-        Self::new(self.0 * other.0)
-    }
-
-    /// Blend two scores with custom importance weights
-    /// weight_a and weight_b should ideally sum to 1.0
-    pub fn blend_weighted(&self, other: &Self, weight_a: f32, weight_b: f32) -> Self {
-        Self::new(self.0 * weight_a + other.0 * weight_b)
-    }
-
-    /// Combine scores with OR logic (either can be true)
-    /// P(A or B) = P(A) + P(B) - P(A and B)
-    pub fn or_with(&self, other: &Self) -> Self {
-        Self::new(self.0 + other.0 - (self.0 * other.0))
-    }
-
-    /// Get the opposite score (1 - score)
-    /// Useful for negating or inverting priorities
-    pub fn opposite(&self) -> Self {
-        Self::new(1.0 - self.0)
-    }
-
-    /// Perform weighted random selection between multiple options
-    pub fn weighted_select<T: Clone, R: rand::Rng>(
-        options: &[(T, Score)],
-        rng: &mut R,
-    ) -> Option<T> {
-        let total_weight: f32 = options.iter().map(|(_, score)| score.value()).sum();
-        if total_weight <= 0.0 || options.is_empty() {
-            return None;
-        }
-        let random_point = rng.random_range(0.0..total_weight);
-        let mut cumulative_weight = 0.0;
-        for (option, score) in options {
-            cumulative_weight += score.value();
-            if random_point <= cumulative_weight {
-                return Some(option.clone());
-            }
-        }
-        // Fallback to last option (shouldn't happen with proper weights)
-        options.last().map(|(opt, _)| opt.clone())
-    }
-}
-
-/// Trait for building scorer components. Must implement `build()`.
-#[reflect_trait]
-pub trait ScorerBuilder: std::fmt::Debug + Sync + Send {
-    /// MUST insert your concrete Scorer component into the Scorer [`Entity`],
-    ///  using `cmd`. You _may_ use `actor`, but it's perfectly normal to just
-    ///  ignore it.
-    ///
-    /// In most cases, your `ScorerBuilder` and `Scorer` can be the same type.
-    /// The only requirement is that your struct implements `Debug`,
-    /// `Component, `Clone`. You can then use the derive macro `ScorerBuilder`
-    /// to turn your struct into a `ScorerBuilder`
-    ///
-    /// ### Example
-    ///
-    /// Using the derive macro (the easy way):
-    ///
-    /// ```
-    /// # use bevy::prelude::*;
-    /// # use ai::prelude::*;
-    /// #[derive(Debug, Clone, Component, ScorerBuilder)]
-    /// #[scorer_label = "MyScorerLabel"] // Optional. Defaults to type name.
-    /// struct MyScorer;
-    /// ```
-    ///
-    /// Implementing it manually:
-    ///
-    /// ```
-    /// # use bevy::prelude::*;
-    /// # use ai::prelude::*;
-    /// #[derive(Debug)]
-    /// struct MyBuilder;
-    /// #[derive(Debug, Component)]
-    /// struct MyScorer;
-    ///
-    /// impl ScorerBuilder for MyBuilder {
-    ///   fn build(&self, cmd: &mut Commands, scorer: Entity, _actor: Entity) {
-    ///     cmd.entity(scorer).insert(MyScorer);
-    ///   }
-    /// }
-    /// ```
-    fn build(&self, cmd: &mut Commands, scorer: Entity, actor: Entity);
-
-    /// Optional label for logging.
-    fn label(&self) -> Option<&str> {
-        None
-    }
-}
-
-pub fn spawn_scorer<T: ScorerBuilder + ?Sized>(
-    builder: &T,
-    cmd: &mut Commands,
-    actor: Entity,
-) -> Entity {
-    let scorer_ent = cmd.spawn_empty().id();
-    let span = ScorerSpan::new(scorer_ent, ScorerBuilder::label(builder));
-    let _guard = span.span().enter();
-    debug!("New Scorer spawned.");
-    cmd.entity(scorer_ent)
-        .insert(Name::new("Scorer"))
-        .insert(Score::default())
-        .insert(Actor(actor));
-    builder.build(cmd, scorer_ent, actor);
-    std::mem::drop(_guard);
-    cmd.entity(scorer_ent).insert(span);
-    scorer_ent
-}
-
-/// Scorer that always returns the same, fixed score.
-
-#[derive(Clone, Component, Debug, Reflect)]
-pub struct FixedScore(pub f32);
-
-impl FixedScore {
-    pub fn build(score: f32) -> FixedScorerBuilder {
-        FixedScorerBuilder { score, label: None }
-    }
-}
-
-pub fn fixed_score_system(mut query: Query<(&FixedScore, &mut Score, &ScorerSpan)>) {
-    for (FixedScore(fixed), mut score, _span) in query.iter_mut() {
-        #[cfg(feature = "trace")]
-        {
-            let _guard = _span.span().enter();
-            trace!("FixedScore: {}", fixed);
-        }
-        score.set(*fixed);
-    }
-}
-
-#[derive(Debug, Reflect)]
-pub struct FixedScorerBuilder {
-    score: f32,
-    label: Option<String>,
-}
-
-impl FixedScorerBuilder {
-    pub fn label(mut self, label: impl Into<String>) -> Self {
-        self.label = Some(label.into());
-        self
-    }
-}
-
-impl ScorerBuilder for FixedScorerBuilder {
-    fn build(&self, cmd: &mut Commands, scorer: Entity, _actor: Entity) {
-        cmd.entity(scorer).insert(FixedScore(self.score));
-    }
-
-    fn label(&self) -> Option<&str> {
-        self.label.as_deref().or(Some("FixedScore"))
-    }
-}
-
-/// Composite Scorer: sums scores if all individual scores >= threshold.
-#[derive(Component, Debug, Reflect)]
-pub struct AllOrNothing {
-    threshold: f32,
-    scorers: Vec<Scorer>,
-}
-
-impl AllOrNothing {
-    pub fn build(threshold: f32) -> AllOrNothingBuilder {
-        AllOrNothingBuilder {
-            threshold,
-            scorers: Vec::new(),
-            scorer_labels: Vec::new(),
-            label: None,
-        }
-    }
-}
-
-pub fn all_or_nothing_system(
-    query: Query<(Entity, &AllOrNothing, &ScorerSpan)>,
-    mut scores: Query<&mut Score>,
-) {
-    for (
-        aon_ent,
-        AllOrNothing {
-            threshold,
-            scorers: children,
-        },
-        _span,
-    ) in query.iter()
-    {
-        let mut sum = 0.0;
-        for Scorer(child) in children.iter() {
-            let score = scores.get_mut(*child).expect("score missing");
-            if score.0 < *threshold {
-                sum = 0.0;
-                break;
-            } else {
-                sum += score.0;
-            }
-        }
-        let mut score = scores.get_mut(aon_ent).expect("score missing");
-        score.set(crate::core::evaluators::clamp(sum, 0.0, 1.0));
-        #[cfg(feature = "trace")]
-        {
-            let _guard = _span.span().enter();
-            trace!("AllOrNothing score: {}", score.get());
-        }
-    }
-}
-
-#[derive(Debug, Clone, Reflect)]
-pub struct AllOrNothingBuilder {
-    threshold: f32,
-    #[reflect(ignore)]
-    scorers: Vec<Arc<dyn ScorerBuilder>>,
-    scorer_labels: Vec<String>,
-    label: Option<String>,
-}
-
-impl AllOrNothingBuilder {
-    /// Add another Scorer to this [`ScorerBuilder`].
-    pub fn push(mut self, scorer: impl ScorerBuilder + 'static) -> Self {
-        if let Some(label) = scorer.label() {
-            self.scorer_labels.push(label.into());
-        } else {
-            self.scorer_labels.push("Unnamed Scorer".into());
-        }
-        self.scorers.push(Arc::new(scorer));
-        self
-    }
-
-    pub fn label(mut self, label: impl AsRef<str>) -> Self {
-        self.label = Some(label.as_ref().into());
-        self
-    }
-}
-
-impl ScorerBuilder for AllOrNothingBuilder {
-    fn label(&self) -> Option<&str> {
-        self.label.as_deref().or(Some("AllOrNothing"))
-    }
-
-    fn build(&self, cmd: &mut Commands, scorer: Entity, actor: Entity) {
-        let scorers: Vec<_> = self
-            .scorers
-            .iter()
-            .map(|scorer| spawn_scorer(&**scorer, cmd, actor))
-            .collect();
-        cmd.entity(scorer)
-            .insert(Score::default())
-            .add_children(&scorers[..])
-            .insert(Name::new("Scorer"))
-            .insert(AllOrNothing {
-                threshold: self.threshold,
-                scorers: scorers.into_iter().map(Scorer).collect(),
-            });
-    }
-}
-
-/// Composite Scorer: sums all scores, returns 0 if total < threshold.
-#[derive(Component, Debug, Reflect)]
-pub struct SumOfScorers {
-    threshold: f32,
-    scorers: Vec<Scorer>,
-    scorer_labels: Vec<String>,
-}
-
-impl SumOfScorers {
-    pub fn build(threshold: f32) -> SumOfScorersBuilder {
-        SumOfScorersBuilder {
-            threshold,
-            scorers: Vec::new(),
-            scorer_labels: Vec::new(),
-            label: None,
-        }
-    }
-}
-
-pub fn sum_of_scorers_system(
-    query: Query<(Entity, &SumOfScorers, &ScorerSpan)>,
-    mut scores: Query<&mut Score>,
-) {
-    for (
-        sos_ent,
-        SumOfScorers {
-            threshold,
-            scorers: children,
-            ..
-        },
-        _span,
-    ) in query.iter()
-    {
-        let mut sum = 0.0;
-        for Scorer(child) in children.iter() {
-            let score = scores
-                .get_mut(*child)
-                .expect("Failed to find score component for SumOfScorers child");
-            sum += score.0;
-        }
-        if sum < *threshold {
-            sum = 0.0;
-        }
-        let mut score = scores
-            .get_mut(sos_ent)
-            .expect("Failed to find score component for SumOfScorers entity");
-        score.set(crate::core::evaluators::clamp(sum, 0.0, 1.0));
-        #[cfg(feature = "trace")]
-        {
-            let _guard = _span.span().enter();
-            trace!(
-                "SumOfScorers score: {}, from {} scores",
-                score.get(),
-                children.len()
-            );
-        }
-    }
-}
-
-#[derive(Debug, Clone, Reflect)]
-pub struct SumOfScorersBuilder {
-    threshold: f32,
-    #[reflect(ignore)]
-    scorers: Vec<Arc<dyn ScorerBuilder>>,
-    scorer_labels: Vec<String>,
-    label: Option<String>,
-}
-
-impl SumOfScorersBuilder {
-    /// Add a new Scorer to this [`SumOfScorersBuilder`].
-    pub fn push(mut self, scorer: impl ScorerBuilder + 'static) -> Self {
-        if let Some(label) = scorer.label() {
-            self.scorer_labels.push(label.into());
-        } else {
-            self.scorer_labels.push("Unnamed Scorer".into());
-        }
-        self.scorers.push(Arc::new(scorer));
-        self
-    }
-
-    /// Set a label for this Action.
-    pub fn label(mut self, label: impl AsRef<str>) -> Self {
-        self.label = Some(label.as_ref().into());
-        self
-    }
-}
-
-impl ScorerBuilder for SumOfScorersBuilder {
-    fn label(&self) -> Option<&str> {
-        self.label.as_deref().or(Some("SumOfScorers"))
-    }
-
-    #[allow(clippy::needless_collect)]
-    fn build(&self, cmd: &mut Commands, scorer: Entity, actor: Entity) {
-        let scorers: Vec<_> = self
-            .scorers
-            .iter()
-            .map(|scorer| spawn_scorer(&**scorer, cmd, actor))
-            .collect();
-        cmd.entity(scorer)
-            .add_children(&scorers[..])
-            .insert(SumOfScorers {
-                threshold: self.threshold,
-                scorers: scorers.into_iter().map(Scorer).collect(),
-                scorer_labels: self.scorer_labels.clone(),
-            });
-    }
-}
-
-/// Composite Scorer: multiplies all scores with optional compensation factor.
-#[derive(Component, Debug, Reflect)]
-pub struct ProductOfScorers {
-    threshold: f32,
-    use_compensation: bool,
-    scorers: Vec<Scorer>,
-    scorer_labels: Vec<String>,
-}
-
-impl ProductOfScorers {
-    pub fn build(threshold: f32) -> ProductOfScorersBuilder {
-        ProductOfScorersBuilder {
-            threshold,
-            use_compensation: false,
-            scorers: Vec::new(),
-            scorer_labels: Vec::new(),
-            label: None,
-        }
-    }
-}
-
-pub fn product_of_scorers_system(
-    query: Query<(Entity, &ProductOfScorers, &ScorerSpan)>,
-    mut scores: Query<&mut Score>,
-) {
-    for (
-        sos_ent,
-        ProductOfScorers {
-            threshold,
-            use_compensation,
-            scorers: children,
-            ..
-        },
-        _span,
-    ) in query.iter()
-    {
-        let mut product = 1.0;
-        let mut num_scorers = 0;
-
-        for Scorer(child) in children.iter() {
-            let score = scores
-                .get_mut(*child)
-                .expect("Failed to find score component for ProductOfScorers child");
-            product *= score.0;
-            num_scorers += 1;
-        }
-
-        // See for example
-        // http://www.gdcvault.com/play/1021848/Building-a-Better-Centaur-AI
-        if *use_compensation && product < 1.0 {
-            let mod_factor = 1.0 - 1.0 / (num_scorers as f32);
-            let makeup = (1.0 - product) * mod_factor;
-            product += makeup * product;
-        }
-
-        if product < *threshold {
-            product = 0.0;
-        }
-
-        let mut score = scores
-            .get_mut(sos_ent)
-            .expect("Failed to find score component for ProductOfScorers entity");
-        score.set(product.clamp(0.0, 1.0));
-        #[cfg(feature = "trace")]
-        {
-            let _guard = _span.span().enter();
-            trace!(
-                "ProductOfScorers score: {}, from {} scores",
-                score.get(),
-                children.len()
-            );
-        }
-    }
-}
-
-#[derive(Debug, Clone)]
-pub struct ProductOfScorersBuilder {
-    threshold: f32,
-    use_compensation: bool,
-    scorers: Vec<Arc<dyn ScorerBuilder>>,
-    scorer_labels: Vec<String>,
-    label: Option<String>,
-}
-
-impl ProductOfScorersBuilder {
-    /// To account for the fact that the total score will be reduced for
-    /// scores with more inputs, we can optionally apply a compensation factor
-    /// by calling this and passing `true`
-    pub fn use_compensation(mut self, use_compensation: bool) -> Self {
-        self.use_compensation = use_compensation;
-        self
-    }
-
-    /// Add a new scorer to this [`ProductOfScorersBuilder`].
-    pub fn push(mut self, scorer: impl ScorerBuilder + 'static) -> Self {
-        if let Some(label) = scorer.label() {
-            self.scorer_labels.push(label.into());
-        } else {
-            self.scorer_labels.push("Unnamed Scorer".into());
-        }
-        self.scorers.push(Arc::new(scorer));
-        self
-    }
-
-    /// Set a label for this Action.
-    pub fn label(mut self, label: impl AsRef<str>) -> Self {
-        self.label = Some(label.as_ref().into());
-        self
-    }
-}
-
-impl ScorerBuilder for ProductOfScorersBuilder {
-    fn label(&self) -> Option<&str> {
-        self.label.as_deref().or(Some("ProductOfScorers"))
-    }
-
-    #[allow(clippy::needless_collect)]
-    fn build(&self, cmd: &mut Commands, scorer: Entity, actor: Entity) {
-        let scorers: Vec<_> = self
-            .scorers
-            .iter()
-            .map(|scorer| spawn_scorer(&**scorer, cmd, actor))
-            .collect();
-        cmd.entity(scorer)
-            .add_children(&scorers[..])
-            .insert(ProductOfScorers {
-                threshold: self.threshold,
-                use_compensation: self.use_compensation,
-                scorers: scorers.into_iter().map(Scorer).collect(),
-                scorer_labels: self.scorer_labels.clone(),
-            });
-    }
-}
-
-/// Composite Scorer: returns highest score if any score >= threshold.
-#[derive(Component, Debug, Reflect)]
-pub struct WinningScorer {
-    threshold: f32,
-    scorers: Vec<Scorer>,
-    scorer_labels: Vec<String>,
-}
-
-impl WinningScorer {
-    pub fn build(threshold: f32) -> WinningScorerBuilder {
-        WinningScorerBuilder {
-            threshold,
-            scorers: Vec::new(),
-            scorer_labels: Vec::new(),
-            label: None,
-        }
-    }
-}
-
-pub fn winning_scorer_system(
-    mut query: Query<(Entity, &mut WinningScorer, &ScorerSpan)>,
-    mut scores: Query<&mut Score>,
-) {
-    for (sos_ent, mut winning_scorer, _span) in query.iter_mut() {
-        let (threshold, children) = (winning_scorer.threshold, &mut winning_scorer.scorers);
-        let winning_score_or_zero = children
-            .iter()
-            .map(|Scorer(e)| {
-                scores
-                    .get(*e)
-                    .expect("Failed to find score component for WinningScorer child")
-            })
-            .map(|score| score.get())
-            .max_by(|a, b| a.partial_cmp(b).unwrap_or(Ordering::Equal))
-            .filter(|&score| score >= threshold)
-            .unwrap_or(0.0);
-        let mut score = scores
-            .get_mut(sos_ent)
-            .expect("Failed to find score component for WinningScorer entity");
-        score.set(crate::core::evaluators::clamp(
-            winning_score_or_zero,
-            0.0,
-            1.0,
-        ));
-        #[cfg(feature = "trace")]
-        {
-            let _guard = _span.span().enter();
-            trace!(
-                "WinningScorer score: {}, from {} scores",
-                score.get(),
-                children.len()
-            );
-        }
-    }
-}
-
-#[derive(Debug, Clone, Reflect)]
-pub struct WinningScorerBuilder {
-    threshold: f32,
-    #[reflect(ignore)]
-    scorers: Vec<Arc<dyn ScorerBuilder>>,
-    scorer_labels: Vec<String>,
-    label: Option<String>,
-}
-
-impl WinningScorerBuilder {
-    /// Add another Scorer to this [`WinningScorerBuilder`].
-    pub fn push(mut self, scorer: impl ScorerBuilder + 'static) -> Self {
-        if let Some(label) = scorer.label() {
-            self.scorer_labels.push(label.into());
-        } else {
-            self.scorer_labels.push("Unnamed Scorer".into())
-        }
-        self.scorers.push(Arc::new(scorer));
-        self
-    }
-
-    /// Set a label for this Action.
-    pub fn label(mut self, label: impl AsRef<str>) -> Self {
-        self.label = Some(label.as_ref().into());
-        self
-    }
-}
-
-impl ScorerBuilder for WinningScorerBuilder {
-    fn label(&self) -> Option<&str> {
-        self.label.as_deref().or(Some("WinningScorer"))
-    }
-
-    #[allow(clippy::needless_collect)]
-    fn build(&self, cmd: &mut Commands, scorer: Entity, actor: Entity) {
-        let scorers: Vec<_> = self
-            .scorers
-            .iter()
-            .map(|scorer| spawn_scorer(&**scorer, cmd, actor))
-            .collect();
-        cmd.entity(scorer)
-            .add_children(&scorers[..])
-            .insert(WinningScorer {
-                threshold: self.threshold,
-                scorers: scorers.into_iter().map(Scorer).collect(),
-                scorer_labels: self.scorer_labels.clone(),
-            });
-    }
-}
-
-/// Applies an Evaluator to transform a single scorer's output.
-#[derive(Component, Debug, Reflect)]
-#[reflect(from_reflect = false)]
-pub struct EvaluatingScorer {
-    scorer: Scorer,
-    evaluator_string: String,
-    #[reflect(ignore)]
-    evaluator: Arc<dyn Evaluator>,
-}
-
-impl EvaluatingScorer {
-    pub fn build(
-        scorer: impl ScorerBuilder + 'static,
-        evaluator: impl Evaluator + 'static,
-    ) -> EvaluatingScorerBuilder {
-        EvaluatingScorerBuilder {
-            scorer_label: scorer.label().map(|s| s.into()),
-            evaluator: Arc::new(evaluator),
-            scorer: Arc::new(scorer),
-            label: None,
-        }
-    }
-}
-
-pub fn evaluating_scorer_system(
-    query: Query<(Entity, &EvaluatingScorer, &ScorerSpan)>,
-    mut scores: Query<&mut Score>,
-) {
-    for (sos_ent, eval_scorer, _span) in query.iter() {
-        // Get the inner score
-        let inner_score = scores
-            .get(eval_scorer.scorer.0)
-            .expect("Failed to find score component for TrustScorer inner scorer")
-            .get();
-        // Get composite score
-        let mut score = scores
-            .get_mut(sos_ent)
-            .expect("Failed to find score component for TrustScorer entity");
-        score.set(crate::core::evaluators::clamp(
-            eval_scorer.evaluator.evaluate(inner_score),
-            0.0,
-            1.0,
-        ));
-        #[cfg(feature = "trace")]
-        {
-            let _guard = _span.span().enter();
-            trace!(
-                "EvaluatingScorer score: {}, from score: {}",
-                score.get(),
-                inner_score
-            );
-        }
-    }
-}
-
-#[derive(Debug, Reflect)]
-#[reflect(from_reflect = false)]
-pub struct EvaluatingScorerBuilder {
-    #[reflect(ignore)]
-    scorer: Arc<dyn ScorerBuilder>,
-    scorer_label: Option<String>,
-    #[reflect(ignore)]
-    evaluator: Arc<dyn Evaluator>,
-    label: Option<String>,
-}
-
-impl ScorerBuilder for EvaluatingScorerBuilder {
-    fn label(&self) -> Option<&str> {
-        self.label.as_deref().or(Some("EvaluatingScorer"))
-    }
-
-    fn build(&self, cmd: &mut Commands, scorer: Entity, actor: Entity) {
-        let inner_scorer = spawn_scorer(&*self.scorer, cmd, actor);
-        let scorers = [inner_scorer];
-        cmd.entity(scorer)
-            .add_children(&scorers[..])
-            .insert(EvaluatingScorer {
-                evaluator: self.evaluator.clone(),
-                scorer: Scorer(inner_scorer),
-                evaluator_string: format!("{:#?}", self.evaluator),
-            });
-    }
-}
-
-/// Composite Scorer: combines scores using customizable Measure (default: weighted).
-#[derive(Component, Debug, Reflect)]
-#[reflect(from_reflect = false)]
-pub struct MeasuredScorer {
-    threshold: f32,
-    #[reflect(ignore)]
-    measure: Arc<dyn Measure>,
-    measure_string: String,
-    scorers: Vec<(Scorer, f32)>,
-}
-
-impl MeasuredScorer {
-    pub fn build(threshold: f32) -> MeasuredScorerBuilder {
-        MeasuredScorerBuilder {
-            threshold,
-            measure: Arc::new(WeightedMeasure),
-            measure_string: format!("{WeightedMeasure:#?}"),
-            scorers: Vec::new(),
-            scorer_labels: Vec::new(),
-            label: None,
-        }
-    }
-}
-
-pub fn measured_scorers_system(
-    query: Query<(Entity, &MeasuredScorer, &ScorerSpan)>,
-    mut scores: Query<&mut Score>,
-) {
-    for (
-        sos_ent,
-        MeasuredScorer {
-            threshold,
-            measure,
-            scorers: children,
-            ..
-        },
-        _span,
-    ) in query.iter()
-    {
-        let measured_score = measure.calculate(
-            children
-                .iter()
-                .map(|(scorer, weight)| {
-                    (
-                        scores
-                            .get(scorer.0)
-                            .expect("Failed to find score component for WeightedScorer child"),
-                        *weight,
-                    )
-                })
-                .collect::<Vec<_>>(),
-        );
-        let mut score = scores
-            .get_mut(sos_ent)
-            .expect("Failed to find score component for WeightedScorer entity");
-
-        if measured_score < *threshold {
-            score.set(0.0);
-        } else {
-            score.set(measured_score.clamp(0.0, 1.0));
-        }
-        #[cfg(feature = "trace")]
-        {
-            let _guard = _span.span().enter();
-            trace!(
-                "MeasuredScorer score: {}, from {} scores",
-                score.get(),
-                children.len()
-            );
-        }
-    }
-}
-
-#[derive(Debug, Reflect)]
-#[reflect(from_reflect = false)]
-pub struct MeasuredScorerBuilder {
-    threshold: f32,
-    #[reflect(ignore)]
-    measure: Arc<dyn Measure>,
-    measure_string: String,
-    #[reflect(ignore)]
-    scorers: Vec<(Arc<dyn ScorerBuilder>, f32)>,
-    scorer_labels: Vec<String>,
-    label: Option<String>,
-}
-
-impl MeasuredScorerBuilder {
-    /// Sets the measure to be used to combine the child scorers
-    pub fn measure(mut self, measure: impl Measure + 'static) -> Self {
-        self.measure_string = format!("{measure:#?}");
-        self.measure = Arc::new(measure);
-        self
-    }
-
-    pub fn push(mut self, scorer: impl ScorerBuilder + 'static, weight: f32) -> Self {
-        if let Some(label) = scorer.label() {
-            self.scorer_labels.push(label.into());
-        } else {
-            self.scorer_labels.push("Unnamed Scorer".into());
-        }
-        self.scorers.push((Arc::new(scorer), weight));
-        self
-    }
-
-    /// Set a label for this ScorerBuilder.
-    pub fn label(mut self, label: impl AsRef<str>) -> Self {
-        self.label = Some(label.as_ref().into());
-        self
-    }
-}
-
-impl ScorerBuilder for MeasuredScorerBuilder {
-    fn label(&self) -> Option<&str> {
-        self.label.as_deref().or(Some("MeasuredScorer"))
-    }
-
-    #[allow(clippy::needless_collect)]
-    fn build(&self, cmd: &mut Commands, scorer: Entity, actor: Entity) {
-        let scorers: Vec<_> = self
-            .scorers
-            .iter()
-            .map(|(scorer, _)| spawn_scorer(&**scorer, cmd, actor))
-            .collect();
-        cmd.entity(scorer)
-            .add_children(&scorers[..])
-            .insert(MeasuredScorer {
-                threshold: self.threshold,
-                measure: self.measure.clone(),
-                scorers: scorers
-                    .into_iter()
-                    .map(Scorer)
-                    .zip(self.scorers.iter().map(|(_, weight)| *weight))
-                    .collect(),
-                measure_string: self.measure_string.clone(),
-            });
-    }
-}
-
-/// Component that smooths a scorer's output and applies a continuation bonus to reduce thrashing.
-#[derive(Component, Debug, Clone, Reflect)]
-#[reflect(Component)]
-pub struct UtilitySmoothing {
-    /// How quickly the smoothed value should respond to new inputs (0.0-1.0 per second).
-    pub response_rate: f32,
-    /// Additional weight applied based on recent history to favour continuing actions (0.0-1.0).
-    pub continuation_bonus: f32,
-    /// How fast the continuation effect decays per second (0.0-1.0).
-    pub continuation_decay: f32,
-    #[reflect(ignore)]
-    smoothed_value: f32,
-    #[reflect(ignore)]
-    momentum: f32,
-    #[reflect(ignore)]
-    initialised: bool,
-}
-
-impl UtilitySmoothing {
-    pub fn new(response_rate: f32, continuation_bonus: f32, continuation_decay: f32) -> Self {
-        Self {
-            response_rate: response_rate.clamp(0.0, 1.0),
-            continuation_bonus: continuation_bonus.clamp(0.0, 1.0),
-            continuation_decay: continuation_decay.clamp(0.0, 1.0),
-            smoothed_value: 0.0,
-            momentum: 0.0,
-            initialised: false,
-        }
-    }
-
-    fn response_alpha(&self, delta_secs: f32) -> f32 {
-        if self.response_rate <= 0.0 {
-            0.0
-        } else {
-            1.0 - (1.0 - self.response_rate).powf(delta_secs.max(0.0).min(1.0))
-        }
-    }
-
-    fn continuation_alpha(&self, delta_secs: f32) -> f32 {
-        if self.continuation_decay <= 0.0 {
-            0.0
-        } else {
-            1.0 - (1.0 - self.continuation_decay).powf(delta_secs.max(0.0).min(1.0))
-        }
-    }
-}
-
-/// System that applies smoothing to any scorer tagged with [`UtilitySmoothing`].
-pub fn utility_smoothing_system(
-    time: Res<Time>,
-    mut query: Query<(&mut Score, &mut UtilitySmoothing)>,
-) {
-    let delta = time.delta_secs();
-    for (mut score, mut smoothing) in &mut query {
-        let raw = score.value();
-
-        if !smoothing.initialised {
-            smoothing.smoothed_value = raw;
-            smoothing.momentum = raw;
-            smoothing.initialised = true;
-            continue;
-        }
-
-        let response_alpha = smoothing.response_alpha(delta);
-        smoothing.smoothed_value += response_alpha * (raw - smoothing.smoothed_value);
-
-        let continuation_alpha = smoothing.continuation_alpha(delta);
-        smoothing.momentum += continuation_alpha * (raw - smoothing.momentum);
-
-        let adjusted = (smoothing.smoothed_value
-            + smoothing.momentum * smoothing.continuation_bonus)
-            .clamp(0.0, 1.0);
-        score.set(adjusted);
-    }
-}
diff --git a/crates/systems/ai/src/core/thinkers.rs b/crates/systems/ai/src/core/thinkers.rs
deleted file mode 100644
index 0c7d694..0000000
--- a/crates/systems/ai/src/core/thinkers.rs
+++ /dev/null
@@ -1,548 +0,0 @@
-//! Thinkers are the "brain" of an entity. You attach Scorers to it, and the
-//! Thinker picks the right Action to run based on the resulting Scores.
-
-use std::{
-    collections::VecDeque,
-    sync::Arc,
-    time::{Duration, Instant},
-};
-
-use bevy::{
-    log::{
-        Level,
-        tracing::{Span, field, span},
-    },
-    prelude::*,
-};
-
-use crate::core::{
-    actions::{self, ActionBuilder, ActionBuilderWrapper, ActionState},
-    choices::{Choice, ChoiceBuilder},
-    pickers::Picker,
-    scorers::{Score, ScorerBuilder},
-};
-
-/// Wrapper for Actor entities. In terms of Scorers, Thinkers, and Actions,
-/// this is the Entity actually performing the action.
-#[derive(Debug, Clone, Component, Copy, Reflect)]
-pub struct Actor(pub Entity);
-
-#[derive(Debug, Clone, Copy, Reflect)]
-pub struct Action(pub Entity);
-
-impl Action {
-    pub fn entity(&self) -> Entity {
-        self.0
-    }
-}
-
-#[derive(Debug, Clone, Component)]
-pub struct ActionSpan {
-    pub(crate) span: Span,
-}
-
-impl ActionSpan {
-    pub(crate) fn new(action: Entity, label: Option<&str>) -> Self {
-        let span = span!(
-            Level::DEBUG,
-            "action",
-            ent = ?action,
-            label = field::Empty,
-        );
-        if let Some(label) = label {
-            span.record("label", label);
-        }
-        Self { span }
-    }
-
-    pub fn span(&self) -> &Span {
-        &self.span
-    }
-}
-
-#[derive(Debug, Clone, Copy, Reflect)]
-pub struct Scorer(pub Entity);
-
-#[derive(Debug, Clone, Component)]
-pub struct ScorerSpan {
-    pub(crate) span: Span,
-}
-
-impl ScorerSpan {
-    pub(crate) fn new(scorer: Entity, label: Option<&str>) -> Self {
-        let span = span!(
-            Level::DEBUG,
-            "scorer",
-            ent = ?scorer,
-            label = field::Empty,
-        );
-
-        if let Some(label) = label {
-            span.record("label", label);
-        }
-        Self { span }
-    }
-
-    pub fn span(&self) -> &Span {
-        &self.span
-    }
-}
-
-/// The "brains" behind this whole operation. A `Thinker` is what glues
-/// together `Actions` and `Scorers` and shapes larger, intelligent-seeming
-/// systems.
-#[derive(Component, Debug, Reflect)]
-#[reflect(from_reflect = false)]
-pub struct Thinker {
-    #[reflect(ignore)]
-    picker: Arc<dyn Picker>,
-    #[reflect(ignore)]
-    otherwise: Option<ActionBuilderWrapper>,
-    #[reflect(ignore)]
-    choices: Vec<Choice>,
-    #[reflect(ignore)]
-    current_action: Option<(Action, ActionBuilderWrapper)>,
-    current_action_label: Option<Option<String>>,
-    #[reflect(ignore)]
-    span: Span,
-    #[reflect(ignore)]
-    scheduled_actions: VecDeque<ActionBuilderWrapper>,
-}
-
-impl Thinker {
-    /// Make a new [`ThinkerBuilder`].
-    pub fn build() -> ThinkerBuilder {
-        ThinkerBuilder::new()
-    }
-
-    pub fn schedule_action(&mut self, action: impl ActionBuilder + 'static) {
-        self.scheduled_actions
-            .push_back(ActionBuilderWrapper::new(Arc::new(action)));
-    }
-}
-
-/// This is what you actually use to configure Thinker behavior.
-#[derive(Component, Clone, Debug, Default)]
-pub struct ThinkerBuilder {
-    picker: Option<Arc<dyn Picker>>,
-    otherwise: Option<ActionBuilderWrapper>,
-    choices: Vec<ChoiceBuilder>,
-    label: Option<String>,
-}
-
-impl ThinkerBuilder {
-    pub(crate) fn new() -> Self {
-        Self {
-            picker: None,
-            otherwise: None,
-            choices: Vec::new(),
-            label: None,
-        }
-    }
-
-    /// Define a [`Picker`] for this Thinker.
-    pub fn picker(mut self, picker: impl Picker + 'static) -> Self {
-        self.picker = Some(Arc::new(picker));
-        self
-    }
-
-    /// Define an [`ActionBuilder`] and [`ScorerBuilder`] pair.
-    pub fn when(
-        mut self,
-        scorer: impl ScorerBuilder + 'static,
-        action: impl ActionBuilder + 'static,
-    ) -> Self {
-        self.choices
-            .push(ChoiceBuilder::new(Arc::new(scorer), Arc::new(action)));
-        self
-    }
-
-    /// Default `Action` to execute if the `Picker` did not pick any choices.
-    pub fn otherwise(mut self, otherwise: impl ActionBuilder + 'static) -> Self {
-        self.otherwise = Some(ActionBuilderWrapper::new(Arc::new(otherwise)));
-        self
-    }
-
-    /// Configures a label to use for the thinker when logging.
-    pub fn label(mut self, label: impl AsRef<str>) -> Self {
-        self.label = Some(label.as_ref().to_string());
-        self
-    }
-}
-
-impl ActionBuilder for ThinkerBuilder {
-    fn build(&self, cmd: &mut Commands, action_ent: Entity, actor: Entity) {
-        let span = span!(
-            Level::DEBUG,
-            "thinker",
-            actor = ?actor,
-        );
-        let _guard = span.enter();
-        debug!("Spawning Thinker.");
-        let choices = self
-            .choices
-            .iter()
-            .map(|choice| choice.build(cmd, actor, action_ent))
-            .collect();
-        std::mem::drop(_guard);
-        cmd.entity(action_ent)
-            .insert(Thinker {
-                picker: self
-                    .picker
-                    .clone()
-                    .expect("ThinkerBuilder must have a Picker"),
-                otherwise: self.otherwise.clone(),
-                choices,
-                current_action: None,
-                current_action_label: None,
-                span,
-                scheduled_actions: VecDeque::new(),
-            })
-            .insert(Name::new("Thinker"))
-            .insert(ActionState::Requested);
-    }
-
-    fn label(&self) -> Option<&str> {
-        self.label.as_deref()
-    }
-}
-
-pub fn thinker_component_attach_system(
-    mut cmd: Commands,
-    q: Query<(Entity, &ThinkerBuilder), Without<HasThinker>>,
-) {
-    for (entity, thinker_builder) in q.iter() {
-        let thinker = actions::spawn_action(thinker_builder, &mut cmd, entity);
-        cmd.entity(entity).insert(HasThinker(thinker));
-    }
-}
-
-pub fn thinker_component_detach_system(
-    mut cmd: Commands,
-    q: Query<(Entity, &HasThinker), Without<ThinkerBuilder>>,
-) {
-    for (actor, HasThinker(thinker)) in q.iter() {
-        if let Ok(mut ent) = cmd.get_entity(*thinker) {
-            ent.despawn();
-        }
-        cmd.entity(actor).remove::<HasThinker>();
-    }
-}
-
-pub fn actor_gone_cleanup(
-    mut cmd: Commands,
-    actors: Query<&ThinkerBuilder>,
-    q: Query<(Entity, &Actor)>,
-) {
-    for (child, Actor(actor)) in q.iter() {
-        if actors.get(*actor).is_err() {
-            if let Ok(mut ent) = cmd.get_entity(child) {
-                ent.despawn();
-            }
-        }
-    }
-}
-
-#[derive(Component, Debug, Reflect)]
-pub struct HasThinker(Entity);
-
-impl HasThinker {
-    pub fn entity(&self) -> Entity {
-        self.0
-    }
-}
-
-pub struct ThinkerIterations {
-    index: usize,
-    max_duration: Duration,
-}
-impl ThinkerIterations {
-    pub fn new(max_duration: Duration) -> Self {
-        Self {
-            index: 0,
-            max_duration,
-        }
-    }
-}
-impl Default for ThinkerIterations {
-    fn default() -> Self {
-        Self::new(Duration::from_millis(10))
-    }
-}
-
-pub fn thinker_system(
-    mut cmd: Commands,
-    mut iterations: Local<ThinkerIterations>,
-    mut thinker_q: Query<(Entity, &Actor, &mut Thinker)>,
-    scores: Query<&Score>,
-    mut action_states: Query<&mut actions::ActionState>,
-    action_spans: Query<&ActionSpan>,
-    scorer_spans: Query<&ScorerSpan>,
-) {
-    let start = Instant::now();
-    for (thinker_ent, Actor(actor), mut thinker) in thinker_q.iter_mut().skip(iterations.index) {
-        iterations.index += 1;
-
-        let thinker_state = action_states
-            .get_mut(thinker_ent)
-            .expect("Failed to find action state component for thinker")
-            .clone();
-
-        let thinker_span = thinker.span.clone();
-        let _thinker_span_guard = thinker_span.enter();
-
-        match thinker_state {
-            ActionState::Init => {
-                let mut act_state = action_states
-                    .get_mut(thinker_ent)
-                    .expect("Failed to find action state component for thinker entity");
-                debug!("Initializing thinker.");
-                *act_state = ActionState::Requested;
-            }
-            ActionState::Requested => {
-                let mut act_state = action_states
-                    .get_mut(thinker_ent)
-                    .expect("Failed to find action state component for thinker entity");
-                debug!("Starting execution.");
-                *act_state = ActionState::Executing;
-            }
-            ActionState::Success | ActionState::Failure => {}
-            ActionState::Cancelled => {
-                debug!("Cleaning up.");
-                if let Some(current) = &mut thinker.current_action {
-                    let action_span = action_spans
-                        .get(current.0.0)
-                        .expect("Failed to find action span for current action");
-                    debug!("Cancelling current action.");
-                    let state = action_states
-                        .get_mut(current.0.0)
-                        .expect("Missing current action")
-                        .clone();
-                    match state {
-                        ActionState::Success | ActionState::Failure => {
-                            debug!("Action already wrapped up.");
-                            if let Ok(mut ent) = cmd.get_entity(current.0.0) {
-                                ent.despawn();
-                            }
-                            thinker.current_action = None;
-                        }
-                        ActionState::Cancelled => {
-                            debug!("Already cancelled.");
-                        }
-                        _ => {
-                            let mut state =
-                                action_states.get_mut(current.0.0).expect("Missing action");
-                            debug!("Action still executing. Cancelling it.");
-                            action_span.span.in_scope(|| {
-                                debug!("Cancelling action.");
-                            });
-                            *state = ActionState::Cancelled;
-                        }
-                    }
-                } else {
-                    let mut act_state = action_states
-                        .get_mut(thinker_ent)
-                        .expect("Failed to find action state component for thinker entity");
-                    debug!("No current action. Completing as Success.");
-                    *act_state = ActionState::Success;
-                }
-            }
-            ActionState::Executing => {
-                #[cfg(feature = "trace")]
-                trace!("Thinker is executing. Thinking...");
-                if let Some(choice) = thinker.picker.pick(&thinker.choices, &scores) {
-                    #[cfg(feature = "trace")]
-                    trace!("Action picked. Executing picked action.");
-                    let action = choice.action.clone();
-                    let scorer = choice.scorer;
-                    let score = scores
-                        .get(choice.scorer.0)
-                        .expect("Failed to find score component for chosen scorer");
-                    exec_picked_action(
-                        &mut cmd,
-                        *actor,
-                        &mut thinker,
-                        &action,
-                        &mut action_states,
-                        &action_spans,
-                        Some((&scorer, score)),
-                        &scorer_spans,
-                        true,
-                    );
-                } else if should_schedule_action(&mut thinker, &mut action_states) {
-                    debug!("Spawning scheduled action.");
-                    let action = thinker
-                        .scheduled_actions
-                        .pop_front()
-                        .expect("we literally just checked if it was there.");
-                    let new_action = actions::spawn_action(action.1.as_ref(), &mut cmd, *actor);
-                    thinker.current_action = Some((Action(new_action), action.clone()));
-                    thinker.current_action_label = Some(action.1.label().map(|s| s.into()));
-                } else if let Some(default_action_ent) = &thinker.otherwise {
-                    let default_action_ent = default_action_ent.clone();
-                    exec_picked_action(
-                        &mut cmd,
-                        *actor,
-                        &mut thinker,
-                        &default_action_ent,
-                        &mut action_states,
-                        &action_spans,
-                        None,
-                        &scorer_spans,
-                        false,
-                    );
-                } else if let Some((action_ent, _)) = &thinker.current_action {
-                    let action_span = action_spans
-                        .get(action_ent.0)
-                        .expect("Failed to find action span for action entity");
-                    let _guard = action_span.span.enter();
-                    let mut curr_action_state = action_states
-                        .get_mut(action_ent.0)
-                        .expect("Missing current action");
-                    let previous_done = matches!(
-                        *curr_action_state,
-                        ActionState::Success | ActionState::Failure
-                    );
-                    if previous_done {
-                        debug!("Action completed. Despawning.");
-                        if let Ok(mut ent) = cmd.get_entity(action_ent.0) {
-                            ent.despawn();
-                        }
-                        thinker.current_action = None;
-                    } else if *curr_action_state == ActionState::Init {
-                        *curr_action_state = ActionState::Requested;
-                    }
-                }
-            }
-        }
-        if iterations.index % 500 == 0 && start.elapsed() > iterations.max_duration {
-            return;
-        }
-    }
-    iterations.index = 0;
-}
-
-fn should_schedule_action(
-    thinker: &mut Mut<Thinker>,
-    states: &mut Query<&mut ActionState>,
-) -> bool {
-    #[cfg(feature = "trace")]
-    let thinker_span = thinker.span.clone();
-    #[cfg(feature = "trace")]
-    let _thinker_span_guard = thinker_span.enter();
-    if thinker.scheduled_actions.is_empty() {
-        #[cfg(feature = "trace")]
-        trace!("No scheduled actions. Not scheduling anything.");
-        false
-    } else if let Some((action_ent, _)) = &mut thinker.current_action {
-        let curr_action_state = states
-            .get_mut(action_ent.0)
-            .expect("Missing current action");
-
-        let action_done = matches!(
-            *curr_action_state,
-            ActionState::Success | ActionState::Failure
-        );
-
-        #[cfg(feature = "trace")]
-        if action_done {
-            trace!("Current action is already done. Can schedule.");
-        } else {
-            trace!("Current action is still executing. Not scheduling anything.");
-        }
-
-        action_done
-    } else {
-        #[cfg(feature = "trace")]
-        trace!("No current action actions. Can schedule.");
-        true
-    }
-}
-
-#[allow(clippy::too_many_arguments)]
-fn exec_picked_action(
-    cmd: &mut Commands,
-    actor: Entity,
-    thinker: &mut Mut<Thinker>,
-    picked_action: &ActionBuilderWrapper,
-    states: &mut Query<&mut ActionState>,
-    action_spans: &Query<&ActionSpan>,
-    scorer_info: Option<(&Scorer, &Score)>,
-    scorer_spans: &Query<&ScorerSpan>,
-    override_current: bool,
-) {
-    let thinker_span = thinker.span.clone();
-    let _thinker_span_guard = thinker_span.enter();
-    if let Some((action_ent, ActionBuilderWrapper(current_id, _))) = &mut thinker.current_action {
-        let mut curr_action_state = states
-            .get_mut(action_ent.0)
-            .expect("Missing current action");
-        let previous_done = matches!(
-            *curr_action_state,
-            ActionState::Success | ActionState::Failure
-        );
-        let action_span = action_spans
-            .get(action_ent.0)
-            .expect("Failed to find action span for action entity");
-        let _guard = action_span.span.enter();
-        if (!Arc::ptr_eq(current_id, &picked_action.0) && override_current) || previous_done {
-            if !previous_done {
-                if override_current {
-                    #[cfg(feature = "trace")]
-                    trace!("Falling back to `otherwise` clause.",);
-                } else {
-                    #[cfg(feature = "trace")]
-                    trace!("Picked a different action than the current one.",);
-                }
-            }
-            match *curr_action_state {
-                ActionState::Executing | ActionState::Requested => {
-                    debug!("Requesting cancellation.");
-                    *curr_action_state = ActionState::Cancelled;
-                }
-                ActionState::Init | ActionState::Success | ActionState::Failure => {
-                    debug!("Previous action completed. Despawning.");
-                    if let Ok(mut ent) = cmd.get_entity(action_ent.0) {
-                        ent.despawn();
-                    }
-                    if let Some((Scorer(ent), score)) = scorer_info {
-                        let scorer_span = scorer_spans
-                            .get(*ent)
-                            .expect("Failed to find scorer span for scorer entity");
-                        let _guard = scorer_span.span.enter();
-                        debug!("Winning score: {}", score.get());
-                    }
-                    std::mem::drop(_guard);
-                    debug!("Spawning next action");
-                    let new_action =
-                        Action(actions::spawn_action(picked_action.1.as_ref(), cmd, actor));
-                    thinker.current_action = Some((new_action, picked_action.clone()));
-                    thinker.current_action_label = Some(picked_action.1.label().map(|s| s.into()));
-                }
-                ActionState::Cancelled => {
-                    #[cfg(feature = "trace")]
-                    trace!("Cancellation already requested. Waiting.");
-                }
-            };
-        } else if *curr_action_state == ActionState::Init {
-            *curr_action_state = ActionState::Requested;
-        }
-        #[cfg(feature = "trace")]
-        trace!("Continuing execution of current action.",)
-    } else {
-        #[cfg(feature = "trace")]
-        trace!("Falling back to `otherwise` clause.",);
-
-        if let Some((Scorer(ent), score)) = scorer_info {
-            let scorer_span = scorer_spans
-                .get(*ent)
-                .expect("Failed to find scorer span for scorer entity");
-            let _guard = scorer_span.span.enter();
-            debug!("Winning score: {}", score.get());
-        }
-        debug!("No current action. Spawning new.");
-        let new_action = actions::spawn_action(picked_action.1.as_ref(), cmd, actor);
-        thinker.current_action = Some((Action(new_action), picked_action.clone()));
-        thinker.current_action_label = Some(picked_action.1.label().map(|s| s.into()));
-    }
-}
diff --git a/crates/systems/ai/src/drives/needs.rs b/crates/systems/ai/src/drives/needs.rs
index d3ba9a1..ec7370c 100644
--- a/crates/systems/ai/src/drives/needs.rs
+++ b/crates/systems/ai/src/drives/needs.rs
@@ -1,4 +1,4 @@
-use crate::core::scorers::Score;
+use crate::Score;
 use crate::prelude::*;
 use bevy::prelude::*;
 
@@ -107,8 +107,7 @@ impl AIModule for Need {
         self.satisfaction = self.satisfaction.clamp(0.0, 1.0);
     }
 
-    fn utility(&self) -> Score {
-        // Return urgency as utility
-        self.urgency()
+    fn utility(&self) -> f32 {
+        self.urgency().value()
     }
 }
diff --git a/crates/systems/ai/src/lib.rs b/crates/systems/ai/src/lib.rs
index 5cbb17e..3ae1f68 100644
--- a/crates/systems/ai/src/lib.rs
+++ b/crates/systems/ai/src/lib.rs
@@ -1,27 +1,36 @@
-pub mod core;
+pub mod arbiter;
 pub mod drives;
 pub mod memory;
 pub mod personality;
 pub mod relationships;
 pub mod trackers;
 
-/// Core AI plugin with utility-based decision making
-pub use crate::core::LPAIPlugin;
+use bevy::prelude::*;
+use bevy::reflect::Reflect;
+
+/// Main plugin exposed by the AI crate. Currently it installs the utility arbiter.
+#[derive(Default, Debug, Clone)]
+pub struct LPAIPlugin;
+
+impl Plugin for LPAIPlugin {
+    fn build(&self, app: &mut App) {
+        app.add_plugins(arbiter::UtilityArbiterPlugin);
+    }
+}
 
 /// Common AI types and plugins
 pub mod prelude {
     // Main plugins for easy access
     pub use crate::LPAIPlugin;
+    pub use crate::arbiter::prelude::*;
     pub use crate::drives::DrivesPlugin;
     pub use crate::personality::PersonalityPlugin;
     pub use crate::relationships::SocialPlugin;
     pub use crate::trackers::TrackerPlugin;
 
-    // Core interfaces - now directly from crate root
-    pub use crate::{AIModule, ActionExecutor};
+    // Core interfaces
+    pub use crate::{AIModule, ActionExecutor, Score};
 
-    // Re-export module preludes
-    pub use crate::core::prelude::*;
     pub use crate::drives::prelude::*;
     pub use crate::memory::prelude::*;
     pub use crate::personality::prelude::*;
@@ -35,30 +44,49 @@ pub mod prelude {
     };
 }
 
-use crate::core::scorers::Score;
-use bevy::prelude::*;
-
-/// Base trait for all AI modules
+/// Base trait for all AI modules.
 pub trait AIModule: Send + Sync {
-    /// Update the module's internal state
+    /// Update the module's internal state.
     fn update(&mut self);
 
-    /// Calculate the utility value of this module
-    fn utility(&self) -> Score;
+    /// Calculate the utility value of this module (0.0 - 1.0 range).
+    fn utility(&self) -> f32;
+}
+
+/// Lightweight score helper (0.0 - 1.0) replacing the legacy Big-Brain type.
+#[derive(Clone, Copy, Debug, Default, PartialEq, Reflect)]
+#[reflect(PartialEq)]
+pub struct Score(f32);
+
+impl Score {
+    pub const ZERO: Self = Self(0.0);
+    pub const HALF: Self = Self(0.5);
+
+    pub fn new(value: f32) -> Self {
+        Self(value.clamp(0.0, 1.0))
+    }
+
+    pub fn value(&self) -> f32 {
+        self.0
+    }
+
+    pub fn clamp_trait_value(value: f32) -> f32 {
+        value.clamp(0.0, 1.0)
+    }
 }
 
-/// Trait for executing actions based on behavior decisions
+/// Trait for executing actions based on behavior decisions.
 pub trait ActionExecutor {
-    /// Move toward a target position
+    /// Move toward a target position.
     fn move_toward(&mut self, target: Vec2, speed: f32) -> bool;
 
-    /// Perform an attack action
+    /// Perform an attack action.
     fn attack(&mut self, target: Option<Entity>) -> bool;
 
-    /// Move away from a threat  
+    /// Move away from a threat.
     fn flee_from(&mut self, threat: Vec2) -> bool;
 
-    /// Idle/rest at current position
+    /// Idle/rest at current position.
     fn idle(&mut self, duration: f32) -> bool;
 
     fn cleanup(&mut self);
diff --git a/crates/systems/ai/src/memory/types.rs b/crates/systems/ai/src/memory/types.rs
index 3f7c0e2..42cb82f 100644
--- a/crates/systems/ai/src/memory/types.rs
+++ b/crates/systems/ai/src/memory/types.rs
@@ -1,4 +1,4 @@
-use crate::core::scorers::Score;
+use crate::Score;
 use crate::prelude::*;
 use bevy::prelude::*;
 
@@ -47,9 +47,8 @@ impl AIModule for MemoryEvent {
         // Could implement decay of importance over time if needed
     }
 
-    fn utility(&self) -> Score {
-        // Return importance as utility
-        self.importance
+    fn utility(&self) -> f32 {
+        self.importance.value()
     }
 }
 
diff --git a/crates/systems/ai/src/personality/mod.rs b/crates/systems/ai/src/personality/mod.rs
index 987b0a2..d4e3104 100644
--- a/crates/systems/ai/src/personality/mod.rs
+++ b/crates/systems/ai/src/personality/mod.rs
@@ -23,7 +23,6 @@ impl Plugin for PersonalityPlugin {
 pub mod prelude {
     pub use crate::personality::PersonalityPlugin;
     pub use crate::personality::traits::{
-        Altruistic, ContextAwareUtilities, Personality, PersonalityConfig,
-        PersonalityContextInputs,
+        Altruistic, ContextAwareUtilities, Personality, PersonalityConfig, PersonalityContextInputs,
     };
 }
diff --git a/crates/systems/ai/src/personality/traits.rs b/crates/systems/ai/src/personality/traits.rs
index 622e829..ae8f703 100644
--- a/crates/systems/ai/src/personality/traits.rs
+++ b/crates/systems/ai/src/personality/traits.rs
@@ -1,4 +1,4 @@
-use crate::core::scorers::Score;
+use crate::Score;
 use crate::prelude::*;
 use bevy::prelude::*;
 // Removed direct energy dependency - use trait-based interface instead
@@ -105,9 +105,8 @@ impl AIModule for Personality {
         // but could evolve slowly based on experiences
     }
 
-    fn utility(&self) -> Score {
-        // Return a base utility score for personality-driven behaviors
-        Score::HALF
+    fn utility(&self) -> f32 {
+        Score::HALF.value()
     }
 }
 
diff --git a/crates/systems/ai/src/relationships/social.rs b/crates/systems/ai/src/relationships/social.rs
index bcfea90..9b130cd 100644
--- a/crates/systems/ai/src/relationships/social.rs
+++ b/crates/systems/ai/src/relationships/social.rs
@@ -1,4 +1,4 @@
-use crate::core::scorers::Score;
+use crate::Score;
 use crate::prelude::*;
 use bevy::prelude::*;
 use std::collections::HashMap;
@@ -140,8 +140,8 @@ impl SocialNetwork {
 
                 // Lightly decay stale relationships before applying the new observation.
                 if time_since_last > 0.0 {
-                    let decay =
-                        (time_since_last / config.decay_time_scale).min(config.max_decay_per_interaction);
+                    let decay = (time_since_last / config.decay_time_scale)
+                        .min(config.max_decay_per_interaction);
                     relationship.strength.adjust(-decay);
                 }
 
@@ -276,9 +276,8 @@ impl AIModule for SocialNetwork {
         // or update based on recent interactions
     }
 
-    fn utility(&self) -> Score {
-        // Calculate overall social interaction utility
-        social_behavior_utility(self)
+    fn utility(&self) -> f32 {
+        social_behavior_utility(self).value()
     }
 }
 
diff --git a/crates/systems/ai/src/trackers/entity_tracker.rs b/crates/systems/ai/src/trackers/entity_tracker.rs
index 1054a41..a3b5e0c 100644
--- a/crates/systems/ai/src/trackers/entity_tracker.rs
+++ b/crates/systems/ai/src/trackers/entity_tracker.rs
@@ -45,8 +45,13 @@ pub struct TrackedEntity {
 }
 
 impl TrackedEntity {
-    pub fn new(entity: Entity, position: Vec2, time: f32, metadata: EntityMetadata) -> Self {
-        let distance = 0.0; // Will be updated
+    pub fn new(
+        entity: Entity,
+        position: Vec2,
+        distance: f32,
+        time: f32,
+        metadata: EntityMetadata,
+    ) -> Self {
         Self {
             entity,
             position,
@@ -86,6 +91,7 @@ impl EntityTracker {
         &mut self,
         entity: Entity,
         position: Vec2,
+        distance: f32,
         current_time: f32,
         metadata: EntityMetadata,
     ) {
@@ -94,12 +100,13 @@ impl EntityTracker {
             tracked.position = position;
             tracked.last_seen_time = current_time;
             tracked.in_visual_contact = true;
+            tracked.last_distance = distance;
             tracked.metadata = metadata;
         } else {
             // Add new
             self.tracked.insert(
                 entity,
-                TrackedEntity::new(entity, position, current_time, metadata),
+                TrackedEntity::new(entity, position, distance, current_time, metadata),
             );
         }
     }
@@ -133,9 +140,8 @@ impl EntityTracker {
 
     /// Remove entities not seen for too long
     pub fn forget_old_entities(&mut self, current_time: f32, forget_after: f32) {
-        self.tracked.retain(|_, tracked| {
-            tracked.time_since_seen(current_time) < forget_after
-        });
+        self.tracked
+            .retain(|_, tracked| tracked.time_since_seen(current_time) < forget_after);
     }
 
     /// Enforce capacity limit (remove least recently seen)
@@ -144,15 +150,17 @@ impl EntityTracker {
             return;
         }
 
-        let mut entries: Vec<_> = self.tracked.iter().map(|(k, v)| (*k, v.last_seen_time)).collect();
-        entries.sort_by(|a, b| {
-            a.1.partial_cmp(&b.1)
-                .unwrap_or(std::cmp::Ordering::Equal)
-        });
+        let mut entries: Vec<_> = self
+            .tracked
+            .iter()
+            .map(|(k, v)| (*k, v.last_seen_time))
+            .collect();
+        entries.sort_by(|a, b| a.1.partial_cmp(&b.1).unwrap_or(std::cmp::Ordering::Equal));
 
         // Remove oldest
         let to_remove = self.tracked.len() - self.max_tracked;
-        let entities_to_remove: Vec<Entity> = entries.iter().take(to_remove).map(|(e, _)| *e).collect();
+        let entities_to_remove: Vec<Entity> =
+            entries.iter().take(to_remove).map(|(e, _)| *e).collect();
 
         for entity in entities_to_remove {
             self.tracked.remove(&entity);
diff --git a/crates/systems/ai/src/trackers/needs_tracker.rs b/crates/systems/ai/src/trackers/needs_tracker.rs
index aac3508..12be41f 100644
--- a/crates/systems/ai/src/trackers/needs_tracker.rs
+++ b/crates/systems/ai/src/trackers/needs_tracker.rs
@@ -1,4 +1,4 @@
-use crate::core::scorers::Score;
+use crate::Score;
 use crate::prelude::*;
 use bevy::prelude::*;
 
@@ -55,10 +55,9 @@ impl AIModule for NeedsTracker {
         self.most_urgent_need = most_urgent.map(|need_type| (need_type, highest_urgency));
     }
 
-    fn utility(&self) -> Score {
-        // Return the urgency of the most urgent need, or zero if no needs
+    fn utility(&self) -> f32 {
         self.most_urgent_need
-            .map(|(_, urgency)| urgency)
-            .unwrap_or(Score::ZERO)
+            .map(|(_, urgency)| urgency.value())
+            .unwrap_or(Score::ZERO.value())
     }
 }
diff --git a/crates/systems/ai/src/trackers/perception_tracker.rs b/crates/systems/ai/src/trackers/perception_tracker.rs
index bc0b376..fe52b35 100644
--- a/crates/systems/ai/src/trackers/perception_tracker.rs
+++ b/crates/systems/ai/src/trackers/perception_tracker.rs
@@ -1,4 +1,3 @@
-use crate::core::scorers::Score;
 use crate::prelude::*;
 use bevy::prelude::*;
 
@@ -57,8 +56,7 @@ impl AIModule for Perception {
         self.highest_threat_level *= 0.95;
     }
 
-    fn utility(&self) -> Score {
-        // Return threat level as utility - higher threat means more important
-        Score::new(self.highest_threat_level)
+    fn utility(&self) -> f32 {
+        self.highest_threat_level.clamp(0.0, 1.0)
     }
 }
diff --git a/crates/systems/ai/src/trackers/prey_tracker.rs b/crates/systems/ai/src/trackers/prey_tracker.rs
index c2f2061..82c67f1 100644
--- a/crates/systems/ai/src/trackers/prey_tracker.rs
+++ b/crates/systems/ai/src/trackers/prey_tracker.rs
@@ -4,7 +4,6 @@
 //! This reads EntityTracker and calculates food attractiveness.
 
 use super::entity_tracker::{EntityMetadata, EntityTracker};
-use crate::core::scorers::Score;
 use crate::prelude::*;
 use bevy::prelude::*;
 
@@ -68,9 +67,9 @@ impl PreyTracker {
         let mut best_score = 0.0;
 
         // Evaluate all prey from entity tracker
-        for tracked in entity_tracker.filter_by_metadata(|m| {
-            matches!(m, EntityMetadata::Prey { .. })
-        }) {
+        for tracked in
+            entity_tracker.filter_by_metadata(|m| matches!(m, EntityMetadata::Prey { .. }))
+        {
             if let EntityMetadata::Prey { attractiveness } = tracked.metadata {
                 // Apply memory decay
                 let time_since = tracked.time_since_seen(current_time);
@@ -79,8 +78,7 @@ impl PreyTracker {
 
                 // Distance factor (closer = more attractive)
                 let distance_factor = if tracked.last_distance > 0.0 {
-                    1.0 - (tracked.last_distance / config.max_attractive_distance)
-                        .clamp(0.0, 1.0)
+                    1.0 - (tracked.last_distance / config.max_attractive_distance).clamp(0.0, 1.0)
                 } else {
                     1.0
                 };
@@ -104,8 +102,8 @@ impl AIModule for PreyTracker {
         // Update happens in system with access to EntityTracker
     }
 
-    fn utility(&self) -> Score {
-        Score::new(self.best_attractiveness)
+    fn utility(&self) -> f32 {
+        self.best_attractiveness.clamp(0.0, 1.0)
     }
 }
 
diff --git a/crates/systems/ai/src/trackers/threat_tracker.rs b/crates/systems/ai/src/trackers/threat_tracker.rs
index e4d48cd..a8c297c 100644
--- a/crates/systems/ai/src/trackers/threat_tracker.rs
+++ b/crates/systems/ai/src/trackers/threat_tracker.rs
@@ -4,7 +4,6 @@
 //! This reads EntityTracker and calculates threat levels.
 
 use super::entity_tracker::{EntityMetadata, EntityTracker};
-use crate::core::scorers::Score;
 use crate::prelude::*;
 use bevy::prelude::*;
 
@@ -68,9 +67,9 @@ impl ThreatTracker {
         let mut max_threat: f32 = 0.0;
 
         // Evaluate all threats from entity tracker
-        for tracked in entity_tracker.filter_by_metadata(|m| {
-            matches!(m, EntityMetadata::Threat { .. })
-        }) {
+        for tracked in
+            entity_tracker.filter_by_metadata(|m| matches!(m, EntityMetadata::Threat { .. }))
+        {
             if let EntityMetadata::Threat { severity } = tracked.metadata {
                 // Apply decay based on time since seen
                 let time_since = tracked.time_since_seen(current_time);
@@ -103,8 +102,8 @@ impl AIModule for ThreatTracker {
         // Update happens in system with access to EntityTracker
     }
 
-    fn utility(&self) -> Score {
-        Score::new(self.panic_level)
+    fn utility(&self) -> f32 {
+        self.panic_level
     }
 }
 
diff --git a/crates/systems/src/lib.rs b/crates/systems/src/lib.rs
index 42fb309..ea3cc2f 100644
--- a/crates/systems/src/lib.rs
+++ b/crates/systems/src/lib.rs
@@ -75,7 +75,9 @@ impl Plugin for SystemsPlugin {
         }
 
         if self.include_save {
-            app.add_plugins(save_system::SaveSystemPlugin::new(self.save_settings.clone()));
+            app.add_plugins(save_system::SaveSystemPlugin::new(
+                self.save_settings.clone(),
+            ));
         }
     }
 }
diff --git a/examples/basic_ai.rs b/examples/basic_ai.rs
index bd65b63..80d4849 100644
--- a/examples/basic_ai.rs
+++ b/examples/basic_ai.rs
@@ -1,4 +1,4 @@
-use bevy::prelude::*;
+use bevy::prelude::*;
 use systems::ai::prelude::*;
 
 fn main() {
@@ -33,6 +33,19 @@ struct CreatureAction {
     last_action_result: ActionState,
 }
 
+#[derive(Clone, Copy, Debug, PartialEq, Eq)]
+enum ActionState {
+    Idle,
+    Success,
+    Failure,
+}
+
+impl Default for ActionState {
+    fn default() -> Self {
+        ActionState::Idle
+    }
+}
+
 #[derive(Component)]
 struct Creature {
     perception: Perception,

From 8856d15a87f6ca10cb93ffd35d109db4c77f2ea7 Mon Sep 17 00:00:00 2001
From: M1thieu <18742831+M1thieu@users.noreply.github.com>
Date: Wed, 12 Nov 2025 01:22:00 +0100
Subject: [PATCH 11/15] Restore project logo

---
 logo.png | Bin 0 -> 2434 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 logo.png

diff --git a/logo.png b/logo.png
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zH|>X4nI5420<!Q2I8MVnz!aH}K+}~h`O;&T<xQHulOd<!FwD>kR=Y{VRXS!f3f5_d
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t2gHX^?FvWB@gV%44j(6cZosTgUxU5{761R4MAoO^Y$+2V6J0G#{{f)+G=cyC

literal 0
HcmV?d00001


From 046c115a5074c0cee70e51a47afa0dcf3f5f3ff8 Mon Sep 17 00:00:00 2001
From: M1thieu <18742831+M1thieu@users.noreply.github.com>
Date: Wed, 12 Nov 2025 14:43:59 +0100
Subject: [PATCH 12/15] Formating mostly

Reformat line wrapping in gravity calculations and import lists for consistency with Rust style guidelines.

- gravity.rs: Adjust force magnitude calculation line breaks
- mod.rs: Consolidate prelude import lists
---
 crates/forces/src/core/gravity.rs | 7 +++----
 crates/forces/src/core/mod.rs     | 6 +++---
 2 files changed, 6 insertions(+), 7 deletions(-)

diff --git a/crates/forces/src/core/gravity.rs b/crates/forces/src/core/gravity.rs
index 1dc4106..0b3abe6 100644
--- a/crates/forces/src/core/gravity.rs
+++ b/crates/forces/src/core/gravity.rs
@@ -400,8 +400,8 @@ pub fn calculate_barnes_hut_force(
         let direction = node.mass_properties.center_of_mass - affected_position;
         let distance_squared = direction.length_squared();
         let softened_distance_squared = distance_squared + softening_squared;
-        let force_magnitude = gravitational_constant * node.mass_properties.total_mass
-            / softened_distance_squared;
+        let force_magnitude =
+            gravitational_constant * node.mass_properties.total_mass / softened_distance_squared;
         return direction.normalize() * force_magnitude;
     }
 
@@ -417,8 +417,7 @@ pub fn calculate_barnes_hut_force(
             }
 
             let softened_distance_squared = distance_squared + softening_squared;
-            let force_magnitude =
-                gravitational_constant * mass / softened_distance_squared;
+            let force_magnitude = gravitational_constant * mass / softened_distance_squared;
             total_force += direction.normalize() * force_magnitude;
         }
 
diff --git a/crates/forces/src/core/mod.rs b/crates/forces/src/core/mod.rs
index 7fdae7e..2cc15a3 100644
--- a/crates/forces/src/core/mod.rs
+++ b/crates/forces/src/core/mod.rs
@@ -7,9 +7,9 @@ pub mod newton_laws;
 pub mod prelude {
     // Re-export from gravity module
     pub use crate::core::gravity::{
-        DEFAULT_GRAVITATIONAL_CONSTANT, GravityAffected, GravityParams, GravitySource,
-        MassiveBody, UniformGravity, calculate_elliptical_orbit_velocity,
-        calculate_escape_velocity, calculate_gravitational_attraction, calculate_orbital_velocity,
+        DEFAULT_GRAVITATIONAL_CONSTANT, GravityAffected, GravityParams, GravitySource, MassiveBody,
+        UniformGravity, calculate_elliptical_orbit_velocity, calculate_escape_velocity,
+        calculate_gravitational_attraction, calculate_orbital_velocity,
     };
 
     // Re-export from newton_laws module

From b382852da8530ac74264d2e8e82dc8c80caf8dad Mon Sep 17 00:00:00 2001
From: M1thieu <18742831+M1thieu@users.noreply.github.com>
Date: Wed, 12 Nov 2025 15:04:30 +0100
Subject: [PATCH 13/15] Improve AI crate code consistency
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Standardize code patterns across the AI system crate for better maintainability:

- Standardize import order: std → bevy → crate (consistent across all files)
- Add default implementation to AIModule::update() trait method
- Remove empty update() implementations using new default
- Remove redundant new() constructors that just call Default::default()

Changes maintain backward compatibility while reducing boilerplate.
---
 crates/systems/ai/src/arbiter/mod.rs             |  6 ++++--
 crates/systems/ai/src/drives/needs.rs            |  3 ++-
 crates/systems/ai/src/lib.rs                     |  3 ++-
 crates/systems/ai/src/memory/types.rs            |  8 ++------
 crates/systems/ai/src/personality/traits.rs      |  9 +++------
 crates/systems/ai/src/relationships/social.rs    | 11 ++++-------
 crates/systems/ai/src/trackers/needs_tracker.rs  |  7 ++-----
 crates/systems/ai/src/trackers/prey_tracker.rs   |  8 --------
 crates/systems/ai/src/trackers/threat_tracker.rs |  8 --------
 9 files changed, 19 insertions(+), 44 deletions(-)

diff --git a/crates/systems/ai/src/arbiter/mod.rs b/crates/systems/ai/src/arbiter/mod.rs
index f75ed20..b9770dc 100644
--- a/crates/systems/ai/src/arbiter/mod.rs
+++ b/crates/systems/ai/src/arbiter/mod.rs
@@ -1,9 +1,11 @@
+use std::collections::HashMap;
+
+use bevy::prelude::*;
+
 use crate::AIModule;
 use crate::trackers::needs_tracker::NeedsTracker;
 use crate::trackers::prey_tracker::PreyTracker;
 use crate::trackers::threat_tracker::ThreatTracker;
-use bevy::prelude::*;
-use std::collections::HashMap;
 
 /// Schedule sets that ensure the arbiter runs in a predictable order each frame.
 #[derive(SystemSet, Debug, Hash, PartialEq, Eq, Clone)]
diff --git a/crates/systems/ai/src/drives/needs.rs b/crates/systems/ai/src/drives/needs.rs
index ec7370c..b38cb97 100644
--- a/crates/systems/ai/src/drives/needs.rs
+++ b/crates/systems/ai/src/drives/needs.rs
@@ -1,6 +1,7 @@
+use bevy::prelude::*;
+
 use crate::Score;
 use crate::prelude::*;
-use bevy::prelude::*;
 
 /// Universal need types that apply to all life forms
 /// These represent fundamental biological drives that emerge from physics and chemistry
diff --git a/crates/systems/ai/src/lib.rs b/crates/systems/ai/src/lib.rs
index 3ae1f68..4bddbd9 100644
--- a/crates/systems/ai/src/lib.rs
+++ b/crates/systems/ai/src/lib.rs
@@ -47,7 +47,8 @@ pub mod prelude {
 /// Base trait for all AI modules.
 pub trait AIModule: Send + Sync {
     /// Update the module's internal state.
-    fn update(&mut self);
+    /// Default implementation does nothing - override if needed.
+    fn update(&mut self) {}
 
     /// Calculate the utility value of this module (0.0 - 1.0 range).
     fn utility(&self) -> f32;
diff --git a/crates/systems/ai/src/memory/types.rs b/crates/systems/ai/src/memory/types.rs
index 42cb82f..d1f363b 100644
--- a/crates/systems/ai/src/memory/types.rs
+++ b/crates/systems/ai/src/memory/types.rs
@@ -1,6 +1,7 @@
+use bevy::prelude::*;
+
 use crate::Score;
 use crate::prelude::*;
-use bevy::prelude::*;
 
 /// Memory timestamp (game ticks)
 pub type MemoryTimestamp = u64;
@@ -42,11 +43,6 @@ impl MemoryEvent {
 }
 
 impl AIModule for MemoryEvent {
-    fn update(&mut self) {
-        // Memories don't need regular updates
-        // Could implement decay of importance over time if needed
-    }
-
     fn utility(&self) -> f32 {
         self.importance.value()
     }
diff --git a/crates/systems/ai/src/personality/traits.rs b/crates/systems/ai/src/personality/traits.rs
index ae8f703..c33260b 100644
--- a/crates/systems/ai/src/personality/traits.rs
+++ b/crates/systems/ai/src/personality/traits.rs
@@ -1,6 +1,8 @@
+use bevy::prelude::*;
+
 use crate::Score;
 use crate::prelude::*;
-use bevy::prelude::*;
+
 // Removed direct energy dependency - use trait-based interface instead
 
 /// Configuration resource for personality-related parameters
@@ -100,11 +102,6 @@ impl Personality {
 }
 
 impl AIModule for Personality {
-    fn update(&mut self) {
-        // Personality traits are generally stable
-        // but could evolve slowly based on experiences
-    }
-
     fn utility(&self) -> f32 {
         Score::HALF.value()
     }
diff --git a/crates/systems/ai/src/relationships/social.rs b/crates/systems/ai/src/relationships/social.rs
index 9b130cd..d74cbe8 100644
--- a/crates/systems/ai/src/relationships/social.rs
+++ b/crates/systems/ai/src/relationships/social.rs
@@ -1,7 +1,9 @@
+use std::collections::HashMap;
+
+use bevy::prelude::*;
+
 use crate::Score;
 use crate::prelude::*;
-use bevy::prelude::*;
-use std::collections::HashMap;
 
 /// Configuration resource for social relationship parameters
 #[derive(Resource, Debug, Clone, Reflect)]
@@ -271,11 +273,6 @@ pub fn get_relationship_strength(
 }
 
 impl AIModule for SocialNetwork {
-    fn update(&mut self) {
-        // In a real implementation, this would decay old relationships
-        // or update based on recent interactions
-    }
-
     fn utility(&self) -> f32 {
         social_behavior_utility(self).value()
     }
diff --git a/crates/systems/ai/src/trackers/needs_tracker.rs b/crates/systems/ai/src/trackers/needs_tracker.rs
index 12be41f..b824806 100644
--- a/crates/systems/ai/src/trackers/needs_tracker.rs
+++ b/crates/systems/ai/src/trackers/needs_tracker.rs
@@ -1,6 +1,7 @@
+use bevy::prelude::*;
+
 use crate::Score;
 use crate::prelude::*;
-use bevy::prelude::*;
 
 /// Tracks and manages needs for an entity
 #[derive(Component, Default)]
@@ -10,10 +11,6 @@ pub struct NeedsTracker {
 }
 
 impl NeedsTracker {
-    pub fn new() -> Self {
-        Self::default()
-    }
-
     pub fn add_need(&mut self, need: Need) {
         self.needs.push(need);
     }
diff --git a/crates/systems/ai/src/trackers/prey_tracker.rs b/crates/systems/ai/src/trackers/prey_tracker.rs
index 82c67f1..19e8a9c 100644
--- a/crates/systems/ai/src/trackers/prey_tracker.rs
+++ b/crates/systems/ai/src/trackers/prey_tracker.rs
@@ -42,10 +42,6 @@ pub struct PreyTracker {
 }
 
 impl PreyTracker {
-    pub fn new() -> Self {
-        Self::default()
-    }
-
     /// Get most attractive prey
     pub fn best_prey(&self) -> Option<Entity> {
         self.best_prey
@@ -98,10 +94,6 @@ impl PreyTracker {
 }
 
 impl AIModule for PreyTracker {
-    fn update(&mut self) {
-        // Update happens in system with access to EntityTracker
-    }
-
     fn utility(&self) -> f32 {
         self.best_attractiveness.clamp(0.0, 1.0)
     }
diff --git a/crates/systems/ai/src/trackers/threat_tracker.rs b/crates/systems/ai/src/trackers/threat_tracker.rs
index a8c297c..6258504 100644
--- a/crates/systems/ai/src/trackers/threat_tracker.rs
+++ b/crates/systems/ai/src/trackers/threat_tracker.rs
@@ -42,10 +42,6 @@ pub struct ThreatTracker {
 }
 
 impl ThreatTracker {
-    pub fn new() -> Self {
-        Self::default()
-    }
-
     /// Get current panic level (0.0-1.0)
     pub fn panic_level(&self) -> f32 {
         self.panic_level
@@ -98,10 +94,6 @@ impl ThreatTracker {
 }
 
 impl AIModule for ThreatTracker {
-    fn update(&mut self) {
-        // Update happens in system with access to EntityTracker
-    }
-
     fn utility(&self) -> f32 {
         self.panic_level
     }

From d973a03c39fe398915cdf0b184c77963c406e1be Mon Sep 17 00:00:00 2001
From: M1thieu <18742831+M1thieu@users.noreply.github.com>
Date: Wed, 12 Nov 2025 16:27:06 +0100
Subject: [PATCH 14/15] Improve code consistency across core crates
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Apply DRY, KISS, and consistency improvements to forces, energy, and information crates:

**Import Order:**
- Standardize to: std → bevy → crate (energy/electromagnetism, information/fractals)

**DRY Improvements:**
- Extract duplicated normalize_or() helper to waves/mod.rs
- Remove duplicate implementations from oscillation.rs and propagation.rs

**Redundant Code Cleanup:**
- Remove WaveParameters::new() (use Default instead with builder pattern)
- Keep MassProperties::new() (actively used in gravity.rs:164)

**Code Quality:**
- All changes maintain backward compatibility
- Zero functional changes, pure refactoring
---
 crates/energy/src/electromagnetism/interactions.rs |  3 ++-
 crates/energy/src/waves/mod.rs                     | 12 ++++++++++++
 crates/energy/src/waves/oscillation.rs             | 14 +-------------
 crates/energy/src/waves/propagation.rs             | 11 ++---------
 crates/information/src/fractals/core.rs            |  3 ++-
 crates/information/src/fractals/renderer.rs        |  1 -
 6 files changed, 19 insertions(+), 25 deletions(-)

diff --git a/crates/energy/src/electromagnetism/interactions.rs b/crates/energy/src/electromagnetism/interactions.rs
index 82bd4be..ff3e8b1 100644
--- a/crates/energy/src/electromagnetism/interactions.rs
+++ b/crates/energy/src/electromagnetism/interactions.rs
@@ -1,6 +1,7 @@
-use super::fields::{ElectricField, MagneticField};
 use bevy::prelude::*;
 
+use super::fields::{ElectricField, MagneticField};
+
 // Speed of light (in m/s) constant physical value
 //TODO: Making this cleaner later on to make units of measure dynamic rather than admiting 1 meter = 1 meter, same for seconds and much more
 const C: f32 = 299_792_458.0;
diff --git a/crates/energy/src/waves/mod.rs b/crates/energy/src/waves/mod.rs
index 8b1e76c..c178b8d 100644
--- a/crates/energy/src/waves/mod.rs
+++ b/crates/energy/src/waves/mod.rs
@@ -1,5 +1,17 @@
 pub mod oscillation;
 pub mod propagation;
+
+use bevy::prelude::Vec2;
+
+/// Helper function to normalize a vector or return a fallback if the vector is too small
+#[inline]
+pub(crate) fn normalize_or(vec: Vec2, fallback: Vec2) -> Vec2 {
+    if vec.length_squared() > f32::EPSILON {
+        vec.normalize()
+    } else {
+        fallback
+    }
+}
 pub mod superposition;
 pub mod wave_equation;
 
diff --git a/crates/energy/src/waves/oscillation.rs b/crates/energy/src/waves/oscillation.rs
index 89f63bf..153cc8b 100644
--- a/crates/energy/src/waves/oscillation.rs
+++ b/crates/energy/src/waves/oscillation.rs
@@ -1,13 +1,6 @@
 use bevy::prelude::*;
 
-#[inline]
-fn normalize_or(vec: Vec2, fallback: Vec2) -> Vec2 {
-    if vec.length_squared() > f32::EPSILON {
-        vec.normalize()
-    } else {
-        fallback
-    }
-}
+use super::normalize_or;
 
 /// Wave parameters for configuring wave behavior
 #[derive(Component, Debug, Clone, Copy, Reflect)]
@@ -47,11 +40,6 @@ impl Default for WaveParameters {
 }
 
 impl WaveParameters {
-    /// Builder-style method for creating custom wave parameters
-    pub fn new() -> Self {
-        Self::default()
-    }
-
     /// Fluent interface for setting speed
     pub fn with_speed(mut self, speed: f32) -> Self {
         self.speed = speed;
diff --git a/crates/energy/src/waves/propagation.rs b/crates/energy/src/waves/propagation.rs
index 7dee9ec..578e9b8 100644
--- a/crates/energy/src/waves/propagation.rs
+++ b/crates/energy/src/waves/propagation.rs
@@ -1,14 +1,7 @@
-use super::oscillation::{WaveParameters, angular_frequency, wave_number};
 use bevy::prelude::*;
 
-#[inline]
-fn normalize_or(vec: Vec2, fallback: Vec2) -> Vec2 {
-    if vec.length_squared() > f32::EPSILON {
-        vec.normalize()
-    } else {
-        fallback
-    }
-}
+use super::normalize_or;
+use super::oscillation::{WaveParameters, angular_frequency, wave_number};
 
 // Calculate modified angular frequency with dispersion
 #[inline]
diff --git a/crates/information/src/fractals/core.rs b/crates/information/src/fractals/core.rs
index 422f084..b20dfb2 100644
--- a/crates/information/src/fractals/core.rs
+++ b/crates/information/src/fractals/core.rs
@@ -1,6 +1,7 @@
-use super::generator;
 use std::collections::HashMap;
 
+use super::generator;
+
 /// Handles rule management for L-Systems.
 pub struct RuleManager<'a> {
     rules: HashMap<char, &'a str>,
diff --git a/crates/information/src/fractals/renderer.rs b/crates/information/src/fractals/renderer.rs
index 5d13346..258cc2c 100644
--- a/crates/information/src/fractals/renderer.rs
+++ b/crates/information/src/fractals/renderer.rs
@@ -4,7 +4,6 @@ use bevy::prelude::*;
 // Components
 /// Component for an L-System branch
 #[derive(Component)]
-#[allow(dead_code)]
 struct Branch {
     /// Type of this branch segment
     symbol_type: SymbolType,

From 81fbfd28a1f900022c4bcaae0c57b8f9f5078b29 Mon Sep 17 00:00:00 2001
From: M1thieu <18742831+M1thieu@users.noreply.github.com>
Date: Sun, 23 Nov 2025 00:06:49 +0100
Subject: [PATCH 15/15] Refactor Tracker Evaluation

Extracted common evaluation logic (time decay + distance factors) from ThreatTracker and PreyTracker into shared helper function `evaluate_tracked_entities_with_decay()`.

Changes:
- Add evaluate_tracked_entities_with_decay() in trackers/mod.rs
  - Handles exponential time-based decay
  - Applies linear distance-based scoring
  - Generic over metadata extraction via closure

- Simplify ThreatTracker::update()
  - Uses shared helper with Threat severity extraction
  - Preserves original panic saturation formula

- Simplify PreyTracker::update()
  - Uses shared helper with Prey attractiveness extraction
  - Preserves original best-prey selection logic

No behavior changes purely refactoring to reduce 80% code duplication between trackers.
Future trackers (aggression, social, territory) will use the same helper.
---
 crates/systems/ai/src/trackers/mod.rs         | 42 +++++++++++++++++++
 .../systems/ai/src/trackers/prey_tracker.rs   | 37 +++++++---------
 .../systems/ai/src/trackers/threat_tracker.rs | 35 ++++++----------
 3 files changed, 69 insertions(+), 45 deletions(-)

diff --git a/crates/systems/ai/src/trackers/mod.rs b/crates/systems/ai/src/trackers/mod.rs
index 6270492..c11f8cb 100644
--- a/crates/systems/ai/src/trackers/mod.rs
+++ b/crates/systems/ai/src/trackers/mod.rs
@@ -9,6 +9,48 @@ pub mod prey_tracker;
 pub mod threat_tracker;
 
 use bevy::prelude::*;
+use entity_tracker::{EntityMetadata, EntityTracker};
+
+/// Helper function for common tracker evaluation pattern with time decay and distance factors.
+///
+/// This consolidates the shared logic between ThreatTracker, PreyTracker, and future trackers.
+/// Returns an iterator of (Entity, evaluated_score) pairs.
+///
+/// # Parameters
+/// - `entity_tracker`: The entity tracker to read from
+/// - `current_time`: Current simulation time for decay calculation
+/// - `decay_rate`: How quickly the value decays per second (exponential)
+/// - `max_distance`: Distance beyond which the value becomes zero (linear)
+/// - `extract_value`: Closure that extracts the base value from EntityMetadata (returns None if wrong type)
+pub(crate) fn evaluate_tracked_entities_with_decay<'a, F>(
+    entity_tracker: &'a EntityTracker,
+    current_time: f32,
+    decay_rate: f32,
+    max_distance: f32,
+    extract_value: F,
+) -> impl Iterator<Item = (Entity, f32)> + 'a
+where
+    F: Fn(&EntityMetadata) -> Option<f32> + 'a,
+{
+    entity_tracker.all().filter_map(move |tracked| {
+        let base_value = extract_value(&tracked.metadata)?;
+
+        // Time-based exponential decay
+        let time_since = tracked.time_since_seen(current_time);
+        let decay = (-decay_rate * time_since).exp();
+        let decayed_value = base_value * decay;
+
+        // Distance-based linear factor (closer = higher score)
+        let distance_factor = if tracked.last_distance > 0.0 {
+            1.0 - (tracked.last_distance / max_distance).clamp(0.0, 1.0)
+        } else {
+            1.0
+        };
+
+        let final_score = decayed_value * distance_factor;
+        Some((tracked.entity, final_score))
+    })
+}
 
 /// Plugin for entity tracking systems
 #[derive(Default)]
diff --git a/crates/systems/ai/src/trackers/prey_tracker.rs b/crates/systems/ai/src/trackers/prey_tracker.rs
index 19e8a9c..f964326 100644
--- a/crates/systems/ai/src/trackers/prey_tracker.rs
+++ b/crates/systems/ai/src/trackers/prey_tracker.rs
@@ -62,29 +62,20 @@ impl PreyTracker {
         let mut best_entity = None;
         let mut best_score = 0.0;
 
-        // Evaluate all prey from entity tracker
-        for tracked in
-            entity_tracker.filter_by_metadata(|m| matches!(m, EntityMetadata::Prey { .. }))
-        {
-            if let EntityMetadata::Prey { attractiveness } = tracked.metadata {
-                // Apply memory decay
-                let time_since = tracked.time_since_seen(current_time);
-                let decay = (-config.memory_decay_per_second * time_since).exp();
-                let current_attractiveness = attractiveness * decay;
-
-                // Distance factor (closer = more attractive)
-                let distance_factor = if tracked.last_distance > 0.0 {
-                    1.0 - (tracked.last_distance / config.max_attractive_distance).clamp(0.0, 1.0)
-                } else {
-                    1.0
-                };
-
-                let total_score = current_attractiveness * distance_factor;
-
-                if total_score > best_score {
-                    best_score = total_score;
-                    best_entity = Some(tracked.entity);
-                }
+        // Evaluate all prey using shared decay/distance logic
+        for (entity, score) in super::evaluate_tracked_entities_with_decay(
+            entity_tracker,
+            current_time,
+            config.memory_decay_per_second,
+            config.max_attractive_distance,
+            |m| match m {
+                EntityMetadata::Prey { attractiveness } => Some(*attractiveness),
+                _ => None,
+            },
+        ) {
+            if score > best_score {
+                best_score = score;
+                best_entity = Some(entity);
             }
         }
 
diff --git a/crates/systems/ai/src/trackers/threat_tracker.rs b/crates/systems/ai/src/trackers/threat_tracker.rs
index 6258504..8db10e0 100644
--- a/crates/systems/ai/src/trackers/threat_tracker.rs
+++ b/crates/systems/ai/src/trackers/threat_tracker.rs
@@ -62,28 +62,19 @@ impl ThreatTracker {
         let mut total_threat = 0.0;
         let mut max_threat: f32 = 0.0;
 
-        // Evaluate all threats from entity tracker
-        for tracked in
-            entity_tracker.filter_by_metadata(|m| matches!(m, EntityMetadata::Threat { .. }))
-        {
-            if let EntityMetadata::Threat { severity } = tracked.metadata {
-                // Apply decay based on time since seen
-                let time_since = tracked.time_since_seen(current_time);
-                let decay = (-config.decay_per_second * time_since).exp();
-                let current_severity = severity * decay;
-
-                // Distance modifier (closer = more threatening)
-                let distance_factor = if tracked.last_distance > 0.0 {
-                    1.0 - (tracked.last_distance / config.max_severity_distance).clamp(0.0, 1.0)
-                } else {
-                    1.0
-                };
-
-                let adjusted_severity = current_severity * distance_factor;
-
-                total_threat += adjusted_severity;
-                max_threat = max_threat.max(adjusted_severity);
-            }
+        // Evaluate all threats using shared decay/distance logic
+        for (_, severity) in super::evaluate_tracked_entities_with_decay(
+            entity_tracker,
+            current_time,
+            config.decay_per_second,
+            config.max_severity_distance,
+            |m| match m {
+                EntityMetadata::Threat { severity } => Some(*severity),
+                _ => None,
+            },
+        ) {
+            total_threat += severity;
+            max_threat = max_threat.max(severity);
         }
 
         // Exponential panic saturation (from original ThreatTracker)