NanoBrain/NanoBrain-unitypackage
NanoBrain/NanoBrain-unitypackage
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Multi smell works

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This commit is contained in:
Pascal Serrarens 2026-05-06 17:39:56 +02:00
parent b1121eed87
commit 09a75aa22e
12 changed files with 569 additions and 501 deletions
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42
NanoBrain/Editor/ClusterEditor.cs
View File

@ -165,26 +165,11 @@ namespace NanoBrain {
GUILayout.Label(nucleusType, headerStyle); GUILayout.Label(nucleusType, headerStyle);
// Nucleus name // Nucleus name
//Cluster cluster = this.currentPrefabNucleus as Cluster;
Cluster cluster = this.currentNucleus as Cluster;
if (cluster != null) {
EditorGUILayout.BeginHorizontal();
if (GUILayout.Button(this.currentNucleus.parent.name))
OnClusterClick(cluster);
EditorGUI.BeginDisabledGroup(true);
EditorGUILayout.TextField(this.currentNucleus.name, boldTextFieldStyle);
EditorGUI.EndDisabledGroup();
if (GUILayout.Button("Reimport"))
ReimportCluster(cluster);
EditorGUILayout.EndHorizontal();
}
else {
string newName = EditorGUILayout.TextField(this.currentNucleus.name, boldTextFieldStyle); string newName = EditorGUILayout.TextField(this.currentNucleus.name, boldTextFieldStyle);
if (newName != this.currentNucleus.name) { if (newName != this.currentNucleus.name) {
this.currentNucleus.name = newName; this.currentNucleus.name = newName;
anythingChanged = true; anythingChanged = true;
} }
}
// Current output value // Current output value
if (Application.isPlaying) { if (Application.isPlaying) {
@ -202,7 +187,7 @@ namespace NanoBrain {
if (this.currentNucleus is MemoryCell memory) if (this.currentNucleus is MemoryCell memory)
MemoryCellInspector(memory, ref anythingChanged); MemoryCellInspector(memory, ref anythingChanged);
// Cluster // Cluster
else if (cluster != null) else if (this.currentNucleus is Cluster cluster)
ClusterInspector(cluster, ref anythingChanged); ClusterInspector(cluster, ref anythingChanged);
// Other // Other
else else
@ -277,8 +262,8 @@ namespace NanoBrain {
if (breakOnWake && this.currentNucleus is Neuron currentNeuron) { if (breakOnWake && this.currentNucleus is Neuron currentNeuron) {
if (currentNeuron.isSleeping == false) if (currentNeuron.isSleeping == false)
Debug.Break(); Debug.Break();
trace = EditorGUILayout.Toggle("Trace", trace); // trace = EditorGUILayout.Toggle("Trace", trace);
currentNeuron.trace = trace; // currentNeuron.trace = trace;
} }
} }
@ -304,8 +289,6 @@ namespace NanoBrain {
Nucleus[] array = null; Nucleus[] array = null;
int elementIx = -1; int elementIx = -1;
//if (this.currentPrefabNucleus is Neuron prefabNeuron && prefabNeuron.synapses.Count > 0) {
// Synapse[] synapses = prefabNeuron.synapses.ToArray();
if (this.currentNucleus is Neuron currentNeuron && currentNeuron.synapses.Count > 0) { if (this.currentNucleus is Neuron currentNeuron && currentNeuron.synapses.Count > 0) {
Synapse[] synapses = currentNeuron.synapses.ToArray(); Synapse[] synapses = currentNeuron.synapses.ToArray();
foreach (Synapse synapse in synapses) { foreach (Synapse synapse in synapses) {
@ -345,19 +328,19 @@ namespace NanoBrain {
else { else {
EditorGUILayout.BeginHorizontal(); EditorGUILayout.BeginHorizontal();
if (synapse.neuron.parent.prefab != this.currentNucleus.parent.prefab) { if (synapse.neuron.parent != this.currentNucleus.parent) {
// If it is a different cluster // If it is a different cluster
GUIStyle labelStyle = new(GUI.skin.label); GUIStyle labelStyle = new(GUI.skin.label);
float labelWidth = 200; float labelWidth = 200;
if (synapse.neuron.parent.prefab != null) { if (synapse.neuron.parent != null) {
labelWidth = labelStyle.CalcSize(new GUIContent($"{synapse.neuron.parent.prefab.name}.")).x; labelWidth = labelStyle.CalcSize(new GUIContent($"{synapse.neuron.parent.name}.")).x;
GUILayout.Label($"{synapse.neuron.parent.prefab.name}", GUILayout.Width(labelWidth)); GUILayout.Label($"{synapse.neuron.parent.name}", GUILayout.Width(labelWidth));
} }
string[] options = synapse.neuron.parent.prefab.cluster.nuclei.Select(n => n.name).ToArray(); string[] options = synapse.neuron.parent.nuclei.Select(n => n.name).ToArray();
int selectedIndex = System.Array.IndexOf(options, synapse.neuron.name); int selectedIndex = System.Array.IndexOf(options, synapse.neuron.name);
int newIndex = EditorGUILayout.Popup(selectedIndex, options); int newIndex = EditorGUILayout.Popup(selectedIndex, options);
if (newIndex != selectedIndex) { if (newIndex != selectedIndex) {
Neuron newNeuron = synapse.neuron.parent.prefab.cluster.nuclei[newIndex] as Neuron; Neuron newNeuron = synapse.neuron.parent.nuclei[newIndex] as Neuron;
ChangeSynapse(synapse, newNeuron); ChangeSynapse(synapse, newNeuron);
} }
} }
@ -453,7 +436,7 @@ namespace NanoBrain {
ClusterPickerWindow.ShowPicker(brain => OnClusterPicked(nucleus, brain), "Select Cluster"); ClusterPickerWindow.ShowPicker(brain => OnClusterPicked(nucleus, brain), "Select Cluster");
} }
private void OnClusterPicked(Nucleus nucleus, ClusterPrefab selectedPrefab) { private void OnClusterPicked(Nucleus nucleus, ClusterPrefab selectedPrefab) {
Cluster subclusterInstance = new(selectedPrefab, this.prefab); Cluster subclusterInstance = new(selectedPrefab, this.currentCluster);
subclusterInstance.defaultOutput.AddReceiver(nucleus); subclusterInstance.defaultOutput.AddReceiver(nucleus);
} }
@ -557,11 +540,6 @@ namespace NanoBrain {
AddInput(selectedType, this.currentNucleus); AddInput(selectedType, this.currentNucleus);
} }
return connecting; return connecting;
// if (selectedType == Nucleus.Type.None)
// return false;
// AddInput(selectedType, this.currentNucleus);
// return true;
} }
protected virtual void ChangeSynapse(Synapse synapse, Neuron newNucleus) { protected virtual void ChangeSynapse(Synapse synapse, Neuron newNucleus) {

53
NanoBrain/Editor/ClusterViewer.cs
View File

@ -488,14 +488,15 @@ namespace NanoBrain {
maxValue = 1; maxValue = 1;
float brightness = siblingNeuron.outputMagnitude / maxValue; float brightness = siblingNeuron.outputMagnitude / maxValue;
color = new Color(brightness, brightness, brightness, 1f); color = new Color(brightness, brightness, brightness, 1f);
} DrawNucleus(siblingNeuron, position, size, color); }
DrawNucleus(siblingNeuron, position, size, color);
GUIStyle style = new(EditorStyles.label) { GUIStyle style = new(EditorStyles.label) {
alignment = TextAnchor.UpperCenter, alignment = TextAnchor.UpperCenter,
normal = { textColor = Color.white }, normal = { textColor = Color.white },
fontStyle = FontStyle.Bold, fontStyle = FontStyle.Bold,
}; };
Vector3 labelPos = position - Vector3.down * (size + 5); // below neuron Vector3 labelPos = position - Vector3.down * (size + 5); // below neuron
string name = $"{sibling.baseName}.{nucleus.name}"; string name = $"{sibling.baseName}\n{nucleus.name}";
Handles.Label(labelPos, name, style); Handles.Label(labelPos, name, style);
row++; row++;
} }
@ -612,18 +613,12 @@ namespace NanoBrain {
if (nucleus.parent != null && currentNucleus != null && nucleus.parent != currentNucleus.parent && nucleus.parent is Cluster parentCluster1) { if (nucleus.parent != null && currentNucleus != null && nucleus.parent != currentNucleus.parent && nucleus.parent is Cluster parentCluster1) {
// This neuron is part of another cluster // This neuron is part of another cluster
parentCluster1.name ??= ""; parentCluster1.name ??= "";
string baseName = "";
int colonPos = parentCluster1.name.IndexOf(":"); int colonPos = parentCluster1.name.IndexOf(":");
string baseName;
if (colonPos > 0 && colonPos < parentCluster1.name.Length - 2) if (colonPos > 0 && colonPos < parentCluster1.name.Length - 2)
baseName = parentCluster1.name[..colonPos] + "."; baseName = parentCluster1.name[..colonPos] + "\n";
else else
baseName = parentCluster1.name + "."; baseName = parentCluster1.name + "\n";
// if (colonPos > 0 && colonPos < parentCluster1.name.Length - 2) {
// // if it is an array, we should not show the :0 of the first element
// //baseName = baseName[..colonPos];
// Handles.Label(labelPos, baseName + nucleus.name, style);
// }
// else
Handles.Label(labelPos, baseName + nucleus.name, style); Handles.Label(labelPos, baseName + nucleus.name, style);
} }
else { else {
@ -858,22 +853,34 @@ namespace NanoBrain {
void OnSceneGUI(SceneView sceneView) { void OnSceneGUI(SceneView sceneView) {
if (this.gameObject != null) { if (this.gameObject != null) {
// if (this.currentNucleus is IReceptor receptor) {
// foreach (Nucleus nucleus in receptor.nucleiArray) {
// if (nucleus is Neuron neuron) {
// Vector3 worldVector = this.gameObject.transform.TransformVector(neuron.outputValue);
// Handles.color = Color.yellow;
// Handles.DrawLine(this.gameObject.transform.position, this.gameObject.transform.position + worldVector);
// }
// }
// }
// else {
if (this.currentNucleus is Neuron currentNeuron) {
Vector3 worldVector = this.gameObject.transform.TransformVector(currentNeuron.outputValue);
Handles.color = Color.yellow; Handles.color = Color.yellow;
if (this.selectedSynapseNeuron != null) {
foreach (Cluster sibling in this.selectedSynapseNeuron.parent.siblingClusters) {
Neuron siblingNeuron = sibling.GetNucleus(this.selectedSynapseNeuron.name) as Neuron;
Vector3 worldVector = this.gameObject.transform.TransformVector(siblingNeuron.outputValue);
Handles.DrawLine(this.gameObject.transform.position, this.gameObject.transform.position + worldVector); Handles.DrawLine(this.gameObject.transform.position, this.gameObject.transform.position + worldVector);
} }
// if (this.currentNucleus is Cluster cluster) {
// foreach (Cluster sibling in cluster.siblingClusters) {
// } // }
// }
// // if (this.currentNucleus is IReceptor receptor) {
// // foreach (Nucleus nucleus in receptor.nucleiArray) {
// // if (nucleus is Neuron neuron) {
// // Vector3 worldVector = this.gameObject.transform.TransformVector(neuron.outputValue);
// // Handles.color = Color.yellow;
// // Handles.DrawLine(this.gameObject.transform.position, this.gameObject.transform.position + worldVector);
// // }
// // }
}
else {
if (this.currentNucleus is Neuron currentNeuron) {
Vector3 worldVector = this.gameObject.transform.TransformVector(currentNeuron.outputValue);
Handles.DrawLine(this.gameObject.transform.position, this.gameObject.transform.position + worldVector);
}
}
} }
} }

304
NanoBrain/Runtime/Scripts/Core/Cluster.cs
View File

@ -111,13 +111,13 @@ namespace NanoBrain {
Neuron synapseNeuron = prefabSynapse.neuron; Neuron synapseNeuron = prefabSynapse.neuron;
if (synapseNeuron.parent.prefab != null && synapseNeuron.parent.prefab != this.prefab) { if (synapseNeuron.parent.prefab != null && synapseNeuron.parent.prefab != this.prefab) {
// Neuron is in another cluster, find the cloned cluster first // Neuron is in another cluster, find the cloned cluster first
ClusterPrefab prefabCluster = synapseNeuron.parent.prefab; Cluster prefabCluster = synapseNeuron.parent;
Cluster clonedCluster = this.nuclei.Find(n => n.name == prefabCluster.name) as Cluster; Cluster clonedCluster = this.nuclei.Find(n => n.name == prefabCluster.name) as Cluster;
if (clonedCluster == null) if (clonedCluster == null)
continue; continue;
// Now find the neuron in that cloned cluster // Now find the neuron in that cloned cluster
int neuronIx = GetNucleusIndex(prefabCluster.cluster.nuclei, prefabSynapse.neuron.name); int neuronIx = GetNucleusIndex(prefabCluster.nuclei, prefabSynapse.neuron.name);
if (neuronIx < 0) if (neuronIx < 0)
// Could not find the neuron in the prefab cluster // Could not find the neuron in the prefab cluster
continue; continue;
@ -140,28 +140,6 @@ namespace NanoBrain {
// Debug.Log($"Add synapse {clonedSender.name} -> {clonedNeuron.name}"); // Debug.Log($"Add synapse {clonedSender.name} -> {clonedNeuron.name}");
} }
} }
// // Copy the receivers, which will also create the synapses
// foreach (Nucleus receiver in prefabNeuron.receivers.ToArray()) {
// int ix = GetNucleusIndex(prefabNuclei, receiver);
// if (ix < 0)
// continue;
// if (clonedNuclei[ix] is not Nucleus clonedReceiver)
// continue;
// // Find the synapse for the weight
// float weight = 1;
// foreach (Synapse synapse in receiver.synapses) {
// // Find the weight for this synapse
// if (synapse.neuron == prefabNucleus) {
// weight = synapse.weight;
// break;
// }
// }
// clonedNeuron.AddReceiver(clonedReceiver, weight);
// }
} }
if (Application.isPlaying) { if (Application.isPlaying) {
@ -191,135 +169,43 @@ namespace NanoBrain {
// Ensure that all neurons are computed to initialize bias // Ensure that all neurons are computed to initialize bias
foreach (Nucleus clonedNucleus in clonedNuclei) { foreach (Nucleus clonedNucleus in clonedNuclei) {
if (clonedNucleus is not Cluster)
clonedNucleus.UpdateStateIsolated(); clonedNucleus.UpdateStateIsolated();
} }
} }
/*
for (int nucleusIx = 0; nucleusIx < clonedNuclei.Length; nucleusIx++) {
Nucleus prefabNucleus = prefabNuclei[nucleusIx];
if (prefabNucleus is not Cluster prefabCluster)
continue;
if (prefabCluster.instanceCount <= 1)
continue;
Cluster clonedNucleus = clonedNuclei[nucleusIx] as Cluster;
if (prefabCluster == prefabCluster.siblingClusters[0]) {
// We clone the array only for the first entry
//NucleusArray clonedArray = new(prefabReceptor.nucleiArray.Length);
Cluster[] clonedArray = new Cluster[prefabCluster.siblingClusters.Length];
int arrayIx = 0;
foreach (Cluster prefabArrayNucleus in prefabCluster.siblingClusters) {
int arrayNucleusIx = GetNucleusIndex(prefabNuclei, prefabArrayNucleus);
if (arrayNucleusIx >= 0) {
Cluster clonedArrayNucleus = clonedNuclei[arrayNucleusIx] as Cluster;
clonedArray[arrayIx] = clonedArrayNucleus;
}
else {
Debug.LogError($" Could not find prefab nucleus {prefabNucleus.name} in the clones");
}
arrayIx++;
}
clonedNucleus.siblingClusters = clonedArray;
}
else {
// The others will refer to the array created for the first nucleus in the array
int firstNucleusIx = GetNucleusIndex(prefabNuclei, prefabCluster.siblingClusters[0]);
Cluster clonedFirstNucleus = clonedNuclei[firstNucleusIx] as Cluster;
clonedNucleus.siblingClusters = clonedFirstNucleus.siblingClusters;
}
}
} }
/* // private void CloneSynapses(Neuron prefabNeuron, Neuron clonedNeuron) {
// Collect the subclusters // foreach (Synapse prefabSynapse in prefabNeuron.synapses) {
List<Cluster> subClusters = new(); // Neuron synapseNeuron = prefabSynapse.neuron;
foreach (Nucleus nucleus in prefabNuclei) { // if (synapseNeuron.parent.prefab != null && synapseNeuron.parent.prefab != this.prefab) {
foreach (Synapse synapse in nucleus.synapses) { // // Neuron is in another cluster, find the cloned cluster first
Nucleus synapseNucleus = synapse.neuron; // ClusterPrefab prefabCluster = synapseNeuron.parent.prefab;
Cluster subCluster = synapseNucleus.parent; // Cluster clonedCluster = this.nuclei.Find(n => n.name == prefabCluster.name) as Cluster;
if (subCluster is null || // if (clonedCluster == null)
synapseNucleus.clusterPrefab == this.clusterPrefab) {
continue;
}
// if (synapseNucleus is not Cluster subCluster)
// continue; // continue;
if (subClusters.Contains(subCluster))
continue;
subClusters.Add(subCluster);
}
}
// Create the subcluster instances
foreach (Cluster subCluster in subClusters) {
for (int ix = 0; ix < subCluster.instanceCount; ix++) {
// create the new instance
Cluster clusterInstance = new(subCluster.prefab);
// connect it
foreach ((Neuron sender, Nucleus receiver) in subCluster.CollectConnections()) {
int receiverIx = GetNucleusIndex(prefabNuclei, receiver);
if (receiverIx < 0)
continue;
if (clonedNuclei[receiverIx] is not Nucleus clonedReceiver) // // Now find the neuron in that cloned cluster
continue; // int neuronIx = GetNucleusIndex(prefabCluster.cluster.nuclei, prefabSynapse.neuron.name);
// if (neuronIx < 0)
// // Could not find the neuron in the prefab cluster
// continue;
// if (clonedCluster.nuclei[neuronIx] is not Neuron clonedSender)
// // Could not find the neuron in the cloned cluster
// continue;
// Find the synapse for the weight // clonedSender.AddReceiver(clonedNeuron, prefabSynapse.weight);
float weight = 1; // //Debug.Log($"Add synapse {clonedCluster.name}.{clonedSender.name} -> {clonedNeuron.name} [{clonedSender.receivers.Count}]");
foreach (Synapse synapse in receiver.synapses) { // }
// Find the weight for this synapse // else {
if (synapse.neuron == sender) { // Neuron clonedSender = this.nuclei.Find(n => n.name == prefabSynapse.neuron.name) as Neuron;
weight = synapse.weight; // // Copy the receivers which will also create the synapse
break; // clonedSender.AddReceiver(clonedNeuron, prefabSynapse.weight);
} // // Debug.Log($"Add synapse {clonedSender.name} -> {clonedNeuron.name}");
} // }
if (clusterInstance.GetNucleus(sender.name) is not Neuron clonedSender)
continue;
clonedSender.AddReceiver(clonedReceiver, weight);
}
}
}
*/
// foreach (Nucleus nucleus in this.clusterNuclei) {
// if (nucleus is Cluster clonedSubCluster)
// RestoreAllExternalReceivers(clonedSubCluster, this.prefab, this);
// } // }
}
private void CloneSynapses(Neuron prefabNeuron, Neuron clonedNeuron) { // }
foreach (Synapse prefabSynapse in prefabNeuron.synapses) {
Neuron synapseNeuron = prefabSynapse.neuron;
if (synapseNeuron.parent.prefab != null && synapseNeuron.parent.prefab != this.prefab) {
// Neuron is in another cluster, find the cloned cluster first
ClusterPrefab prefabCluster = synapseNeuron.parent.prefab;
Cluster clonedCluster = this.nuclei.Find(n => n.name == prefabCluster.name) as Cluster;
if (clonedCluster == null)
continue;
// Now find the neuron in that cloned cluster
int neuronIx = GetNucleusIndex(prefabCluster.cluster.nuclei, prefabSynapse.neuron.name);
if (neuronIx < 0)
// Could not find the neuron in the prefab cluster
continue;
if (clonedCluster.nuclei[neuronIx] is not Neuron clonedSender)
// Could not find the neuron in the cloned cluster
continue;
clonedSender.AddReceiver(clonedNeuron, prefabSynapse.weight);
//Debug.Log($"Add synapse {clonedCluster.name}.{clonedSender.name} -> {clonedNeuron.name} [{clonedSender.receivers.Count}]");
}
else {
Neuron clonedSender = this.nuclei.Find(n => n.name == prefabSynapse.neuron.name) as Neuron;
// Copy the receivers which will also create the synapse
clonedSender.AddReceiver(clonedNeuron, prefabSynapse.weight);
// Debug.Log($"Add synapse {clonedSender.name} -> {clonedNeuron.name}");
}
}
}
/// <summary> /// <summary>
/// Sort the nuclei in a correct evaluation order /// Sort the nuclei in a correct evaluation order
@ -537,43 +423,43 @@ namespace NanoBrain {
} }
} }
public virtual Cluster GetThingCluster() { // public virtual Cluster GetThingCluster() {
Cluster selectedCluster = SelectCluster(); // Cluster selectedCluster = SelectCluster();
return selectedCluster; // return selectedCluster;
} // }
public virtual Cluster GetThingCluster(int thingId, string thingName = null) { // public virtual Cluster GetThingCluster(int thingId, string thingName = null) {
if (thingClusters.TryGetValue(thingId, out Cluster cluster)) // if (thingClusters.TryGetValue(thingId, out Cluster cluster))
return cluster;
Cluster selectedCluster = SelectCluster();
selectedCluster.name = baseName + ": " + thingName;
thingClusters[thingId] = selectedCluster;
return selectedCluster;
}
private Cluster SelectCluster() {
if (this.siblingClusters == null)
return this;
// Find a sleeping cluster
// foreach (Cluster cluster in this.siblingClusters) {
// if (cluster.defaultOutput.isSleeping) {
// RemoveThingCluster(cluster);
// return cluster; // return cluster;
// }
// Cluster selectedCluster = SelectCluster();
// selectedCluster.name = baseName + ": " + thingName;
// thingClusters[thingId] = selectedCluster;
// return selectedCluster;
// } // }
// Find longest unused cluster // private Cluster SelectCluster() {
// Note this uses the default output... // if (this.siblingClusters == null)
Cluster unusedCluster = this.siblingClusters[0]; // return this;
for (int ix = 1; ix < this.siblingClusters.Length; ix++) {
if (this.siblingClusters[ix].defaultOutput.lastUpdate < unusedCluster.defaultOutput.lastUpdate)
unusedCluster = this.siblingClusters[ix];
}
RemoveThingCluster(unusedCluster); // // Find a sleeping cluster
return unusedCluster; // // foreach (Cluster cluster in this.siblingClusters) {
} // // if (cluster.defaultOutput.isSleeping) {
// // RemoveThingCluster(cluster);
// // return cluster;
// // }
// // }
// // Find longest unused cluster
// // Note this uses the default output...
// Cluster unusedCluster = this.siblingClusters[0];
// for (int ix = 1; ix < this.siblingClusters.Length; ix++) {
// if (this.siblingClusters[ix].defaultOutput.lastUpdate < unusedCluster.defaultOutput.lastUpdate)
// unusedCluster = this.siblingClusters[ix];
// }
// RemoveThingCluster(unusedCluster);
// return unusedCluster;
// }
private void RemoveThingCluster(Cluster cluster) { private void RemoveThingCluster(Cluster cluster) {
List<int> keysToRemove = new(); List<int> keysToRemove = new();
@ -756,8 +642,8 @@ namespace NanoBrain {
else { else {
string nucleusName0 = nucleusName + ": 0"; string nucleusName0 = nucleusName + ": 0";
foreach (Nucleus nucleus in this.nuclei) { foreach (Nucleus nucleus in this.nuclei) {
if (nucleus is Cluster) { //IReceptor receptor) { if (nucleus is Cluster) {
if (nucleus.name == nucleusName | nucleus.name == nucleusName0) if (nucleus.name == nucleusName || nucleus.name == nucleusName0)
return nucleus; return nucleus;
} }
else if (nucleus.name == nucleusName) else if (nucleus.name == nucleusName)
@ -775,6 +661,51 @@ namespace NanoBrain {
return null; return null;
} }
public Neuron GetNeuron(int thingId, string neuronName, string thingName = null) {
if (this.siblingClusters == null || this.siblingClusters.Length <= 1)
return this.GetNeuron(neuronName);
// See if we are already using a cluster for thingId
if (thingClusters.TryGetValue(thingId, out Cluster cluster))
return cluster.GetNeuron(neuronName);
// Find the cluster with the lowest value neuron
Neuron lowestNeuron = null;
foreach (Cluster sibling in this.siblingClusters) {
Neuron neuron = sibling.GetNeuron(neuronName);
if (lowestNeuron == null || neuron.outputMagnitude < lowestNeuron.outputMagnitude)
lowestNeuron = neuron;
}
Cluster selectedCluster = lowestNeuron.parent;
RemoveThingCluster(selectedCluster);
selectedCluster.name = baseName + ": " + thingName;
thingClusters[thingId] = selectedCluster;
return lowestNeuron;
/*
// Find a sleeping cluster
// foreach (Cluster cluster in this.siblingClusters) {
// if (cluster.defaultOutput.isSleeping) {
// RemoveThingCluster(cluster);
// return cluster;
// }
// }
// Find longest unused cluster
// Note this uses the default output...
Cluster unusedCluster = this.siblingClusters[0];
for (int ix = 1; ix < this.siblingClusters.Length; ix++) {
if (this.siblingClusters[ix].defaultOutput.lastUpdate < unusedCluster.defaultOutput.lastUpdate)
unusedCluster = this.siblingClusters[ix];
}
RemoveThingCluster(unusedCluster);
//return unusedCluster;
Cluster cluster = GetThingCluster(thingId, thingName);
Neuron neuron = cluster?.GetNeuron(neuronName);
return neuron;
*/
}
public bool DeleteNucleus(Nucleus nucleus) { public bool DeleteNucleus(Nucleus nucleus) {
if (this.nuclei.Contains(nucleus) == false) { if (this.nuclei.Contains(nucleus) == false) {
// Try to find the nucleus by name // Try to find the nucleus by name
@ -883,27 +814,19 @@ namespace NanoBrain {
} }
List<Nucleus> computeOrder = this.computeOrders[startNucleus]; List<Nucleus> computeOrder = this.computeOrders[startNucleus];
//if (startNucleus.trace)
// Debug.Log($"Update from {startNucleus.name}");
foreach (Nucleus nucleus in computeOrder) { foreach (Nucleus nucleus in computeOrder) {
if (nucleus is not Cluster) { if (nucleus is not Cluster) {
nucleus.UpdateStateIsolated(); nucleus.UpdateStateIsolated();
//if (startNucleus.trace && nucleus is Neuron neuron)
// Debug.Log($" {nucleus.name}");
if (nucleus is Neuron neuron) { if (nucleus is Neuron neuron) {
foreach (Nucleus receiver in neuron.receivers) { foreach (Nucleus receiver in neuron.receivers) {
if (receiver.parent != this) { if (receiver.parent != this) {
Debug.Log($" External: {receiver.parent.name}.{receiver.name}"); //Debug.Log($" External: {receiver.parent.name}.{receiver.name}");
receiver.parent.UpdateFromNucleus(receiver); receiver.parent.UpdateFromNucleus(receiver);
} }
} }
} }
} }
} }
// continue in parent
//this.parent?.UpdateFromNucleus(this);
UpdateNuclei(); UpdateNuclei();
} }
@ -911,6 +834,7 @@ namespace NanoBrain {
throw new Exception("Cluster should not be updated!"); throw new Exception("Cluster should not be updated!");
} }
// Don't think this does anything anymore...
public override void UpdateNuclei() { public override void UpdateNuclei() {
foreach (Nucleus nucleus in this.nuclei) foreach (Nucleus nucleus in this.nuclei)
nucleus.UpdateNuclei(); nucleus.UpdateNuclei();
@ -921,9 +845,9 @@ namespace NanoBrain {
public void Refresh() { public void Refresh() {
// This should not be needed, but somehow somewhere the parent is changed... // This should not be needed, but somehow somewhere the parent is changed...
foreach (Nucleus nucleus in this.nuclei) { foreach (Nucleus nucleus in this.nuclei) {
if (nucleus is not Neuron neuron) // if (nucleus is not Neuron neuron)
continue; // continue;
neuron.parent = this; nucleus.parent = this;
} }
RefreshOutputs(); RefreshOutputs();
RefreshComputeOrders(); RefreshComputeOrders();

21
NanoBrain/Runtime/Scripts/Core/Neuron.cs
View File

@ -276,16 +276,11 @@ namespace NanoBrain {
public float outputSqrMagnitude => _outputValue.sqrMagnitude; public float outputSqrMagnitude => _outputValue.sqrMagnitude;
#endif #endif
public bool isFiring { public bool isFiring => this.outputMagnitude > 0.5f;
get {
//SleepCheck();
return this.outputMagnitude > 0.5f;
}
}
public Action WhenFiring; public Action WhenFiring;
public bool persistOutput = false; public bool persistOutput = false;
public virtual bool isSleeping => persistOutput ? false : (Time.time - this.lastUpdate > this.timeToSleep); public virtual bool isSleeping => !persistOutput && (Time.time - this.lastUpdate > this.timeToSleep);
public void SleepCheck() { public void SleepCheck() {
if (this.isSleeping) { if (this.isSleeping) {
#if UNITY_MATHEMATICS #if UNITY_MATHEMATICS
@ -299,9 +294,9 @@ namespace NanoBrain {
/// <summary> /// <summary>
/// Toggle for printing debugging trace data /// Toggle for printing debugging trace data
/// </summary> /// </summary>
public bool trace = false; //public bool trace = false;
[NonSerialized] //[NonSerialized]
public float lastUpdate = 0; public float lastUpdate = 0;
public readonly float timeToSleep = 1f; public readonly float timeToSleep = 1f;
@ -624,7 +619,13 @@ namespace NanoBrain {
#endregion Receivers #endregion Receivers
public override void ProcessStimulus(Vector3 inputValue) { /// <summary>
/// Process an external stimulus
/// </summary>
/// <param name="inputValue">The value of the stimulus</param>
/// <param name="thingId">The id of the thing causing the stimulus</param>
/// <param name="thingName">The name of the thing causing the stimulus</param>
public virtual void ProcessStimulus(Vector3 inputValue) {
this.lastUpdate = Time.time; this.lastUpdate = Time.time;
this.bias = inputValue; this.bias = inputValue;
this.parent?.UpdateFromNucleus(this); this.parent?.UpdateFromNucleus(this);

9
NanoBrain/Runtime/Scripts/Core/Nucleus.cs
View File

@ -142,15 +142,6 @@ public abstract class Nucleus {
// this.parent.UpdateFromNucleus(this); // this.parent.UpdateFromNucleus(this);
// } // }
/// <summary>
/// Process an external stimulus
/// </summary>
/// <param name="inputValue">The value of the stimulus</param>
/// <param name="thingId">The id of the thing causing the stimulus</param>
/// <param name="thingName">The name of the thing causing the stimulus</param>
public virtual void ProcessStimulus(Vector3 inputValue) { //, int thingId = 0, string thingName = "") {
}
#endregion Update #endregion Update
} }

87
Runtime/Scripts/Ant.cs
View File

@ -42,10 +42,10 @@ namespace CreatureControl {
/// like placing pheromones /// like placing pheromones
public Neuron beat; public Neuron beat;
public Neuron pheromoneSteering;
public Neuron foodReceptor; public Neuron foodReceptor;
public Neuron homeReceptor; public Neuron homeReceptor;
public Neuron foodSmell; public Cluster foodReceptors;
public Cluster homeReceptors;
// brain output // brain output
public Neuron targetDirection; public Neuron targetDirection;
@ -71,10 +71,11 @@ namespace CreatureControl {
touchRight.receptor = brain.GetNucleus("Hit Right") as Neuron; touchRight.receptor = brain.GetNucleus("Hit Right") as Neuron;
this.foodReceptor = brain.GetNucleus("Food Receptor") as Neuron; this.foodReceptor = brain.GetNucleus("Food Receptor") as Neuron;
this.homeReceptor = brain.GetNucleus("Home Receptor") as Neuron; this.homeReceptor = brain.GetNucleus("Home Receptor") as Neuron;
this.pheromoneSteering = brain.GetNucleus("Pheromone Steering") as Neuron; this.foodReceptors = brain.GetNucleus("Food Receptors") as Cluster;
this.homeReceptors = brain.GetNucleus("Home Receptors") as Cluster;
//--- brain outputs //--- brain outputs
this.targetDirection = brain.GetNucleus("Output") as Neuron; this.targetDirection = brain.GetNucleus("Movement") as Neuron;
this.hasFood = brain.GetNucleus("Having Food") as Neuron; this.hasFood = brain.GetNucleus("Having Food") as Neuron;
} }
} }
@ -106,18 +107,23 @@ namespace CreatureControl {
#region Update #region Update
private int foodPheromoneIx = 0;
void PlaceFoodPheromone() { void PlaceFoodPheromone() {
if (foodPheromonePrefab == null) if (foodPheromonePrefab == null)
return; return;
GameObject pheromoneObj = Instantiate(foodPheromonePrefab); GameObject pheromoneObj = Instantiate(foodPheromonePrefab);
pheromoneObj.name = $"To Food {foodPheromoneIx++}";
pheromoneObj.transform.position = this.model.position; pheromoneObj.transform.position = this.model.position;
} }
private int homePheromoneIx = 0;
void PlaceHomePheromone() { void PlaceHomePheromone() {
if (homePheromonePrefab == null) if (homePheromonePrefab == null)
return; return;
GameObject pheromoneObj = Instantiate(homePheromonePrefab); GameObject pheromoneObj = Instantiate(homePheromonePrefab);
pheromoneObj.name = $"To Home {homePheromoneIx++}";
pheromoneObj.transform.position = this.model.position; pheromoneObj.transform.position = this.model.position;
} }
@ -163,9 +169,13 @@ namespace CreatureControl {
// Set random direction to simulate noisy smells perception // Set random direction to simulate noisy smells perception
// which will result in a bit of random walking when no clear // which will result in a bit of random walking when no clear
// smells are received // smells are received
float randomAngle = Random.Range(-smellAngle/4, smellAngle/4); float randomAngle = Random.Range(-smellAngle, smellAngle);
Vector3 randomDirection = Quaternion.AngleAxis(randomAngle, Vector3.up) * Vector3.forward; Vector3 randomDirection = Quaternion.AngleAxis(randomAngle, Vector3.up) * Vector3.forward * 0.01f;
foodReceptor?.SetBias(randomDirection); foodReceptor?.SetBias(randomDirection);
randomAngle = Random.Range(-smellAngle, smellAngle);
randomDirection = Quaternion.AngleAxis(randomAngle, Vector3.up) * Vector3.forward * 0.01f;
homeReceptor?.SetBias(randomDirection);
yield return _waitForSeconds3; yield return _waitForSeconds3;
} }
} }
@ -174,61 +184,50 @@ namespace CreatureControl {
Collider[] colliders = Physics.OverlapSphere(this.transform.position, smellRadius); Collider[] colliders = Physics.OverlapSphere(this.transform.position, smellRadius);
foreach (Collider collider in colliders) { foreach (Collider collider in colliders) {
SmellPheromones(collider); SmellPheromones(collider);
SmellFood(collider);
SmellHome(collider);
} }
} }
void SmellPheromones(Collider thing) { void SmellPheromones(Collider thing) {
Pheromone pheromone = thing.GetComponentInParent<Pheromone>(); Vector3 smellDirection = this.transform.InverseTransformPoint(thing.transform.position);
if (pheromone == null)
return;
Vector3 smellDirection = this.transform.InverseTransformPoint(pheromone.transform.position);
float distance = smellDirection.magnitude; float distance = smellDirection.magnitude;
float angle = Vector3.Angle(Vector3.forward, smellDirection); float angle = Vector3.Angle(Vector3.forward, smellDirection);
if (angle < smellAngle && smellDirection.magnitude > 0.01) { if (angle < smellAngle && smellDirection.magnitude > 0.01) {
float intensity = pheromone.StrengthAt(distance); // float intensity = pheromone.StrengthAt(distance);
Vector3 smell = smellDirection.normalized * intensity; // Vector3 smell = smellDirection.normalized * intensity;
Vector3 smell = Vector3.zero;
int id = thing.GetInstanceID();
Neuron receptor = null;
Pheromone pheromone = thing.GetComponentInParent<Pheromone>();
if (pheromone != null) {
// multiply by distance to compensate for strong and weak smells
smell = pheromone.StrengthAt(smellDirection) * distance / 10;
switch (pheromone.type) { switch (pheromone.type) {
case Pheromone.Type.Food: case Pheromone.Type.Food:
foodReceptor?.ProcessStimulus(smell); receptor = foodReceptors?.GetNeuron(id, "Output", pheromone.name);
//Debug.DrawRay(this.transform.position, this.transform.rotation * smell, Color.magenta);
break; break;
case Pheromone.Type.Home: case Pheromone.Type.Home:
homeReceptor?.ProcessStimulus(smell); receptor = homeReceptors?.GetNeuron(id, "Output", pheromone.name);
//Debug.DrawRay(this.transform.position, this.transform.rotation * smell, Color.cyan);
break; break;
} }
// Debug.DrawLine(this.transform.position, pheromone.transform.position, Color.magenta);
} }
}
void SmellFood(Collider thing) {
Food food = thing.GetComponentInParent<Food>(); Food food = thing.GetComponentInParent<Food>();
if (food == null) if (food != null) {
return; receptor = foodReceptors?.GetNeuron(id, "Output", food.name);
smell = food.StrengthAt(smellDirection) * distance / 10;
Vector3 smellDirection = this.transform.InverseTransformPoint(food.transform.position); //Debug.DrawRay(this.transform.position, this.transform.rotation * smell, Color.magenta);
float distance = smellDirection.magnitude;
float angle = Vector3.Angle(Vector3.forward, smellDirection);
if (angle < smellAngle && distance > 0.01) {
float intensity = food.StrengthAt(distance);
foodReceptor?.ProcessStimulus(smellDirection.normalized * intensity);
//Debug.DrawLine(this.transform.position, food.transform.position, Color.red);
} }
AntsNest home = thing.GetComponentInParent<AntsNest>();
if (home != null) {
receptor = homeReceptors?.GetNeuron(id, "Output", home.name);
smell = home.StrengthAt(smellDirection) * distance / 10;
//Debug.DrawRay(this.transform.position, this.transform.rotation * smell, Color.cyan);
} }
receptor?.ProcessStimulus(smell);
void SmellHome(Collider thing) {
AntsNest nest = thing.GetComponentInParent<AntsNest>();
if (nest == null)
return;
Vector3 smellDirection = this.transform.InverseTransformPoint(nest.transform.position);
float distance = smellDirection.magnitude;
float angle = Vector3.Angle(Vector3.forward, smellDirection);
if (angle < smellAngle && distance > 0.01) {
float intensity = nest.StrengthAt(distance);
homeReceptor?.ProcessStimulus(smellDirection.normalized * intensity);
//Debug.DrawLine(this.transform.position, nest.transform.position, Color.red);
} }
} }

6
Runtime/Scripts/Odorant.cs
View File

@ -12,6 +12,12 @@ namespace CreatureControl {
float intensity = this.strength / (4.0f * Mathf.PI * distance * distance); float intensity = this.strength / (4.0f * Mathf.PI * distance * distance);
return intensity; return intensity;
} }
public Vector3 StrengthAt(Vector3 localPosition) {
float magnitude = localPosition.magnitude;
float intensity = StrengthAt(magnitude);
Vector3 intensity3 = localPosition.normalized * intensity;
return intensity3;
}
} }
} }

178
Samples/Brain/Foraging.asset
View File

@ -33,6 +33,8 @@ MonoBehaviour:
- rid: 4201949834634854857 - rid: 4201949834634854857
- rid: 4201949834634854858 - rid: 4201949834634854858
- rid: 4201949854258954578 - rid: 4201949854258954578
- rid: 4201949854258954866
- rid: 4201949854258955200
references: references:
version: 2 version: 2
RefIds: RefIds:
@ -41,20 +43,20 @@ MonoBehaviour:
- rid: 4201949831649034325 - rid: 4201949831649034325
type: {class: Neuron, ns: NanoBrain, asm: Assembly-CSharp} type: {class: Neuron, ns: NanoBrain, asm: Assembly-CSharp}
data: data:
name: Output name: Movement
parent: parent:
rid: 4201949854258954746 rid: 4201949861964939451
bias: {x: 0, y: 0, z: 1} bias: {x: 0, y: 0, z: 1}
_synapses: _synapses:
- neuron: - neuron:
rid: 4201949831649034327 rid: 4201949831649034327
weight: 1 weight: 4
- neuron: - neuron:
rid: 4201949834634854855 rid: 4201949834634854855
weight: 1 weight: 0.8
- neuron: - neuron:
rid: 4201949834634854857 rid: 4201949834634854857
weight: 1 weight: 0.8
combinator: 0 combinator: 0
_curvePreset: 0 _curvePreset: 0
curve: curve:
@ -83,14 +85,14 @@ MonoBehaviour:
m_RotationOrder: 4 m_RotationOrder: 4
curveMax: 1 curveMax: 1
persistOutput: 0 persistOutput: 0
trace: 0 lastUpdate: 0
_receivers: [] _receivers: []
- rid: 4201949831649034327 - rid: 4201949831649034327
type: {class: Neuron, ns: NanoBrain, asm: Assembly-CSharp} type: {class: Neuron, ns: NanoBrain, asm: Assembly-CSharp}
data: data:
name: Collision name: Collision
parent: parent:
rid: 4201949854258954746 rid: 4201949861964939451
bias: {x: 0, y: 0, z: 0} bias: {x: 0, y: 0, z: 0}
_synapses: _synapses:
- neuron: - neuron:
@ -127,7 +129,7 @@ MonoBehaviour:
m_RotationOrder: 4 m_RotationOrder: 4
curveMax: 1 curveMax: 1
persistOutput: 0 persistOutput: 0
trace: 0 lastUpdate: 0
_receivers: _receivers:
- rid: 4201949831649034325 - rid: 4201949831649034325
- rid: 4201949834634854801 - rid: 4201949834634854801
@ -136,7 +138,7 @@ MonoBehaviour:
data: data:
name: Hit Left name: Hit Left
parent: parent:
rid: 4201949854258954746 rid: 4201949861964939451
bias: {x: 0, y: 0, z: 0} bias: {x: 0, y: 0, z: 0}
_synapses: [] _synapses: []
combinator: 0 combinator: 0
@ -167,7 +169,7 @@ MonoBehaviour:
m_RotationOrder: 4 m_RotationOrder: 4
curveMax: 1 curveMax: 1
persistOutput: 0 persistOutput: 0
trace: 0 lastUpdate: 0
_receivers: _receivers:
- rid: 4201949831649034327 - rid: 4201949831649034327
- rid: 4201949831649034329 - rid: 4201949831649034329
@ -175,7 +177,7 @@ MonoBehaviour:
data: data:
name: Hit Right name: Hit Right
parent: parent:
rid: 4201949854258954746 rid: 4201949861964939451
bias: {x: 0, y: 0, z: 0} bias: {x: 0, y: 0, z: 0}
_synapses: [] _synapses: []
combinator: 0 combinator: 0
@ -206,7 +208,7 @@ MonoBehaviour:
m_RotationOrder: 4 m_RotationOrder: 4
curveMax: 1 curveMax: 1
persistOutput: 0 persistOutput: 0
trace: 0 lastUpdate: 0
_receivers: _receivers:
- rid: 4201949831649034327 - rid: 4201949831649034327
- rid: 4201949834634854702 - rid: 4201949834634854702
@ -214,7 +216,7 @@ MonoBehaviour:
data: data:
name: Beat name: Beat
parent: parent:
rid: 4201949854258954746 rid: 4201949861964939451
bias: {x: 0, y: 0, z: 0} bias: {x: 0, y: 0, z: 0}
_synapses: [] _synapses: []
combinator: 0 combinator: 0
@ -245,7 +247,7 @@ MonoBehaviour:
m_RotationOrder: 4 m_RotationOrder: 4
curveMax: 1 curveMax: 1
persistOutput: 0 persistOutput: 0
trace: 0 lastUpdate: 0
_receivers: _receivers:
- rid: 4201949834634854704 - rid: 4201949834634854704
- rid: 4201949854258954578 - rid: 4201949854258954578
@ -254,7 +256,7 @@ MonoBehaviour:
data: data:
name: Home Pheromones name: Home Pheromones
parent: parent:
rid: 4201949854258954746 rid: 4201949861964939451
bias: {x: 1, y: 1, z: 1} bias: {x: 1, y: 1, z: 1}
_synapses: _synapses:
- neuron: - neuron:
@ -291,16 +293,19 @@ MonoBehaviour:
m_RotationOrder: 4 m_RotationOrder: 4
curveMax: 1 curveMax: 1
persistOutput: 0 persistOutput: 0
trace: 0 lastUpdate: 0
_receivers: [] _receivers: []
- rid: 4201949834634854727 - rid: 4201949834634854727
type: {class: Neuron, ns: NanoBrain, asm: Assembly-CSharp} type: {class: Neuron, ns: NanoBrain, asm: Assembly-CSharp}
data: data:
name: Food Receptor name: Food Receptor
parent: parent:
rid: 4201949854258954746 rid: 4201949861964939451
bias: {x: 0, y: 0, z: 0} bias: {x: 0, y: 0, z: 0}
_synapses: [] _synapses:
- neuron:
rid: 4201949854258954867
weight: 1
combinator: 0 combinator: 0
_curvePreset: 0 _curvePreset: 0
curve: curve:
@ -329,7 +334,7 @@ MonoBehaviour:
m_RotationOrder: 4 m_RotationOrder: 4
curveMax: 1 curveMax: 1
persistOutput: 0 persistOutput: 0
trace: 0 lastUpdate: 0
_receivers: _receivers:
- rid: 4201949834634854857 - rid: 4201949834634854857
- rid: 4201949834634854801 - rid: 4201949834634854801
@ -337,7 +342,7 @@ MonoBehaviour:
data: data:
name: Mouth name: Mouth
parent: parent:
rid: 4201949854258954746 rid: 4201949861964939451
bias: {x: 0, y: 0, z: 0} bias: {x: 0, y: 0, z: 0}
_synapses: _synapses:
- neuron: - neuron:
@ -371,14 +376,14 @@ MonoBehaviour:
m_RotationOrder: 4 m_RotationOrder: 4
curveMax: 1 curveMax: 1
persistOutput: 0 persistOutput: 0
trace: 0 lastUpdate: 0
_receivers: [] _receivers: []
- rid: 4201949834634854833 - rid: 4201949834634854833
type: {class: Neuron, ns: NanoBrain, asm: Assembly-CSharp} type: {class: Neuron, ns: NanoBrain, asm: Assembly-CSharp}
data: data:
name: Having Food name: Having Food
parent: parent:
rid: 4201949854258954746 rid: 4201949861964939451
bias: {x: 0, y: 0, z: 0} bias: {x: 0, y: 0, z: 0}
_synapses: [] _synapses: []
combinator: 0 combinator: 0
@ -409,7 +414,7 @@ MonoBehaviour:
m_RotationOrder: 4 m_RotationOrder: 4
curveMax: 1 curveMax: 1
persistOutput: 1 persistOutput: 1
trace: 0 lastUpdate: 0
_receivers: _receivers:
- rid: 4201949834634854855 - rid: 4201949834634854855
- rid: 4201949834634854858 - rid: 4201949834634854858
@ -419,7 +424,7 @@ MonoBehaviour:
data: data:
name: Home Smell name: Home Smell
parent: parent:
rid: 4201949854258954746 rid: 4201949861964939451
bias: {x: 1, y: 1, z: 1} bias: {x: 1, y: 1, z: 1}
_synapses: _synapses:
- neuron: - neuron:
@ -456,7 +461,7 @@ MonoBehaviour:
m_RotationOrder: 4 m_RotationOrder: 4
curveMax: 1 curveMax: 1
persistOutput: 0 persistOutput: 0
trace: 0 lastUpdate: 0
_receivers: _receivers:
- rid: 4201949831649034325 - rid: 4201949831649034325
- rid: 4201949834634854856 - rid: 4201949834634854856
@ -464,9 +469,12 @@ MonoBehaviour:
data: data:
name: Home Receptor name: Home Receptor
parent: parent:
rid: 4201949854258954746 rid: 4201949861964939451
bias: {x: 0, y: 0, z: 0} bias: {x: 0, y: 0, z: 0}
_synapses: [] _synapses:
- neuron:
rid: 4201949854258955201
weight: 1
combinator: 0 combinator: 0
_curvePreset: 0 _curvePreset: 0
curve: curve:
@ -495,7 +503,7 @@ MonoBehaviour:
m_RotationOrder: 4 m_RotationOrder: 4
curveMax: 1 curveMax: 1
persistOutput: 0 persistOutput: 0
trace: 0 lastUpdate: 0
_receivers: _receivers:
- rid: 4201949834634854855 - rid: 4201949834634854855
- rid: 4201949834634854857 - rid: 4201949834634854857
@ -503,7 +511,7 @@ MonoBehaviour:
data: data:
name: Food Smell name: Food Smell
parent: parent:
rid: 4201949854258954746 rid: 4201949861964939451
bias: {x: 1, y: 1, z: 1} bias: {x: 1, y: 1, z: 1}
_synapses: _synapses:
- neuron: - neuron:
@ -540,7 +548,7 @@ MonoBehaviour:
m_RotationOrder: 4 m_RotationOrder: 4
curveMax: 1 curveMax: 1
persistOutput: 0 persistOutput: 0
trace: 0 lastUpdate: 0
_receivers: _receivers:
- rid: 4201949831649034325 - rid: 4201949831649034325
- rid: 4201949834634854858 - rid: 4201949834634854858
@ -548,7 +556,7 @@ MonoBehaviour:
data: data:
name: Not having Food name: Not having Food
parent: parent:
rid: 4201949854258954746 rid: 4201949861964939451
bias: {x: 1, y: 1, z: 1} bias: {x: 1, y: 1, z: 1}
_synapses: _synapses:
- neuron: - neuron:
@ -582,7 +590,7 @@ MonoBehaviour:
m_RotationOrder: 4 m_RotationOrder: 4
curveMax: 1 curveMax: 1
persistOutput: 1 persistOutput: 1
trace: 0 lastUpdate: 0
_receivers: _receivers:
- rid: 4201949834634854857 - rid: 4201949834634854857
- rid: 4201949834634854704 - rid: 4201949834634854704
@ -591,7 +599,7 @@ MonoBehaviour:
data: data:
name: Food Pheromones name: Food Pheromones
parent: parent:
rid: 4201949854258954746 rid: 4201949861964939451
bias: {x: 1, y: 1, z: 1} bias: {x: 1, y: 1, z: 1}
_synapses: _synapses:
- neuron: - neuron:
@ -628,9 +636,107 @@ MonoBehaviour:
m_RotationOrder: 4 m_RotationOrder: 4
curveMax: 1 curveMax: 1
persistOutput: 0 persistOutput: 0
trace: 0 lastUpdate: 0
_receivers: [] _receivers: []
- rid: 4201949854258954746 - rid: 4201949854258954866
type: {class: Cluster, ns: NanoBrain, asm: Assembly-CSharp}
data:
name: Food Receptors
parent:
rid: 4201949861964939451
prefab: {fileID: 11400000, guid: 13516cb1b506d662db7775f7cd16dbca, type: 2}
instanceCount: 6
nuclei:
- rid: 4201949854258954867
- rid: 4201949854258954867
type: {class: Neuron, ns: NanoBrain, asm: Assembly-CSharp}
data:
name: Output
parent:
rid: 4201949854258954866
bias: {x: 0, y: 0, z: 0}
_synapses: []
combinator: 0
_curvePreset: 0
curve:
serializedVersion: 2
m_Curve:
- serializedVersion: 3
time: 0
value: 0
inSlope: 0
outSlope: 1
tangentMode: 0
weightedMode: 0
inWeight: 0
outWeight: 0
- serializedVersion: 3
time: 1000
value: 1000
inSlope: 1
outSlope: 0
tangentMode: 0
weightedMode: 0
inWeight: 0
outWeight: 0
m_PreInfinity: 2
m_PostInfinity: 2
m_RotationOrder: 4
curveMax: 1
persistOutput: 0
lastUpdate: 0
_receivers:
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- rid: 4201949854258955200
type: {class: Cluster, ns: NanoBrain, asm: Assembly-CSharp}
data:
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parent:
rid: 4201949861964939451
prefab: {fileID: 11400000, guid: 13516cb1b506d662db7775f7cd16dbca, type: 2}
instanceCount: 6
nuclei:
- rid: 4201949854258955201
- rid: 4201949854258955201
type: {class: Neuron, ns: NanoBrain, asm: Assembly-CSharp}
data:
name: Output
parent:
rid: 4201949854258955200
bias: {x: 0, y: 0, z: 0}
_synapses: []
combinator: 0
_curvePreset: 0
curve:
serializedVersion: 2
m_Curve:
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time: 0
value: 0
inSlope: 0
outSlope: 1
tangentMode: 0
weightedMode: 0
inWeight: 0
outWeight: 0
- serializedVersion: 3
time: 1000
value: 1000
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m_PreInfinity: 2
m_PostInfinity: 2
m_RotationOrder: 4
curveMax: 1
persistOutput: 0
lastUpdate: 0
_receivers:
- rid: 4201949834634854856
- rid: 4201949861964939451
type: {class: Cluster, ns: NanoBrain, asm: Assembly-CSharp} type: {class: Cluster, ns: NanoBrain, asm: Assembly-CSharp}
data: data:
name: Foraging name: Foraging
@ -653,3 +759,5 @@ MonoBehaviour:
- rid: 4201949834634854857 - rid: 4201949834634854857
- rid: 4201949834634854858 - rid: 4201949834634854858
- rid: 4201949854258954578 - rid: 4201949854258954578
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- rid: 4201949854258955200

2
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