Neuroid is a Nucleus

Assets/NanoBrain/Neuroid.cs

@@ -28,16 +28,15 @@ public class NeuroidNetwork {
     }
 }
 
-public class Neuroid {
+public class Neuroid : Nucleus {
     public string name;
 
-    public int layerIx;
     public int stale = 0;
 
-    public readonly Dictionary<Neuroid, Synapse> synapses = new();
+    // public readonly Dictionary<Neuroid, Synapse> synapses = new();
 
     public Vector3 outputValue;
-    public HashSet<Neuroid> outputNeuroids = new();
+    // public HashSet<Neuroid> outputNeuroids = new();
 
     public bool average = false;
     //public bool quadratic = false;
@@ -46,7 +45,7 @@ public class Neuroid {
 
     public NeuroidNetwork net;
 
-    public Neuroid(NeuroidNetwork net, string name) {
+    public Neuroid(NeuroidNetwork net, string name) : base(net) {
         this.net = net;
         this.name = name;
         if (this.net != null)
@@ -58,9 +57,9 @@ public class Neuroid {
         this.synapses[input] = new(input, Vector3.zero, 1.0f);
     }
 
-    public void AddReceiver(Neuroid receiver) {
-        this.outputNeuroids.Add(receiver);
-    }
+    // public void AddReceiver(Neuroid receiver) {
+    //     this.outputNeuroids.Add(receiver);
+    // }
 
     public void ResetWeights() {
         foreach (Synapse synapse in this.synapses.Values)

Assets/NanoBrain/Nucleus.cs

@@ -1,17 +1,26 @@
+using System.Collections.Generic;
+
 public class Nucleus {
-    public class State {
-        
-    }
+    //public Neuroid output;
+    public readonly Dictionary<Neuroid, Synapse> synapses = new();
 
-    public State state;
+    public HashSet<Neuroid> outputNeuroids = new();
+
+    public int layerIx;
 
-    public Neuroid output;
 
     public Nucleus(NeuroidNetwork neuroidNet) {
-        this.output = new(neuroidNet, "Nucleus output");
+        //this.output = new(neuroidNet, "Nucleus output");
     }
 
-    public void AddReceiver(Neuroid receiver) {
-        this.output.AddReceiver(receiver);
+    public virtual void AddReceiver(Neuroid receiver) {
+        //this.output.AddReceiver(receiver);
+        this.outputNeuroids.Add(receiver);
     }
+
+    // public void GetInputFrom(Neuroid input, float weight = 1.0f) {
+    //     input.AddReceiver(this);
+    //     this.synapses[input] = new(input, Vector3.zero, weight);
+    // }
+
 }

Assets/Scenes/Boids/Scripts/RoamingNucleus.cs

@@ -1,14 +1,24 @@
 public class Roaming : Nucleus {
-
+    public float avoidanceForce;
     public Neuroid avoidance;
 
+     public Neuroid output;
+
+
     public const int BoundaryType = 1;
     public const int BoidType = 2;
 
     public Roaming(NeuroidNetwork neuroidNet, Perception perception, SwarmControl sc) : base(neuroidNet) {
-        avoidance = new(neuroidNet, "Separation") { inverse = true };
+        this.avoidanceForce = sc.avoidanceForce;
+
+        avoidance = new(neuroidNet, "Avoidance") { inverse = true };
         perception.SendPositions(avoidance);
 
+        this.output = new(neuroidNet, "Roaming");
         output.GetInputFrom(avoidance, -sc.avoidanceForce);
     }
+
+    public override void AddReceiver(Neuroid receiver) {
+        output.AddReceiver(receiver);
+    }
 }

Assets/Scenes/Boids/Scripts/SwarmingNucleus.cs

@@ -6,6 +6,8 @@ public class Swarming : Nucleus {
     public Neuroid avoidance;
     public Neuroid boundary;
 
+    public Neuroid output;
+
     public const int BoundaryType = 1;
     public const int BoidType = 2;
 
@@ -21,9 +23,9 @@ public class Swarming : Nucleus {
 
         boundary = new(neuroidNet, "Boundary");
 
+        this.output = new(neuroidNet, "Swarming");
         output.GetInputFrom(alignment, sc.alignmentForce);
         output.GetInputFrom(cohesion, sc.cohesionForce);
         output.GetInputFrom(avoidance, -sc.avoidanceForce);
         output.GetInputFrom(boundary, sc.boundaryForce);
-    }
-}
+    }}