private void CalculateNodeInputs(NeuronNEAT currentNeuron) // recursive function
{
numNodesVisited++;
if (numNodesVisited >= 100)
{
Debug.Log("CalculateNodeInputs() HIT MAX NODE COUNT!");
return;
}
visitedNodes.Add(currentNeuron); // to avoid infinite recursion
for (int i = 0; i < currentNeuron.incomingConnectionsList.Count; i++)
{
//Debug.Log("CalculateNodeInputs! [" + currentNeuron.id.ToString() + "] incoming: " + currentNeuron.incomingConnectionsList[i].fromNodeID.ToString() + " -> " + currentNeuron.incomingConnectionsList[i].toNodeID.ToString());
//if (outputNeuronList.Contains(currentNeuron)) {
//Debug.Log("CalculateNodeInputs! visitedNodes.Clear();");
//}
currentNeuron.currentValue[0] += neuronList[currentNeuron.incomingConnectionsList[i].fromNodeID].previousValue * currentNeuron.incomingConnectionsList[i].weight[0];
if (neuronList[currentNeuron.incomingConnectionsList[i].fromNodeID].nodeType != GeneNodeNEAT.GeneNodeType.In) // if incoming connection isn't an Input Neuron
{
if (visitedNodes.Contains(neuronList[currentNeuron.incomingConnectionsList[i].fromNodeID]))
{
if (completedNodes.Contains(neuronList[currentNeuron.incomingConnectionsList[i].fromNodeID]))
{
// done
}
else
{
Debug.Log("Incoming connection has already been visited! RECURSION?? nodeID: " + currentNeuron.id.ToString() + ", fromNode: " + neuronList[currentNeuron.incomingConnectionsList[i].fromNodeID].id.ToString());
}
}
else
{
CalculateNodeInputs(neuronList[currentNeuron.incomingConnectionsList[i].fromNodeID]);
}
}
else
{
// if it IS an input neuron:
visitedNodes.Clear();
}
}
if (currentNeuron.nodeType == GeneNodeNEAT.GeneNodeType.Out)
{
currentNeuron.currentValue[0] = TransferFunctions.Evaluate(TransferFunctions.TransferFunction.RationalSigmoid, currentNeuron.currentValue[0]);
}
else
{
currentNeuron.currentValue[0] = TransferFunctions.Evaluate(TransferFunctions.TransferFunction.Linear, currentNeuron.currentValue[0]);
}
completedNodes.Add(currentNeuron);
//processedNodes.Add(currentNeuron);
//return allInputsProcessed;
}
private Color GetColorFromNeuron(NeuronNEAT neuron)
{
//black = -1, white = 1
float val01 = neuron.currentValue[0] * neuronRadiusMaxValue + 0.5f;
Color newColor = new Color(val01, val01, val01);
if (neuron.nodeType == GeneNodeNEAT.GeneNodeType.In)
{
newColor = Color.Lerp(newColor, new Color(0f, 1f, 0f), 0.25f);
}
if (neuron.nodeType == GeneNodeNEAT.GeneNodeType.Hid)
{
newColor = Color.Lerp(newColor, new Color(1f, 1f, 0f), 0.25f);
}
if (neuron.nodeType == GeneNodeNEAT.GeneNodeType.Out)
{
newColor = Color.Lerp(newColor, new Color(1f, 0f, 0f), 0.25f);
}
return(newColor);
}
private Color GetColorFromNeuron(NeuronNEAT neuron) {
//black = -1, white = 1
float val01 = neuron.currentValue[0] * neuronRadiusMaxValue + 0.5f;
Color newColor = new Color(val01, val01, val01);
if (neuron.nodeType == GeneNodeNEAT.GeneNodeType.In) {
newColor = Color.Lerp(newColor, new Color(0f, 1f, 0f), 0.25f);
}
if (neuron.nodeType == GeneNodeNEAT.GeneNodeType.Hid) {
newColor = Color.Lerp(newColor, new Color(1f, 1f, 0f), 0.25f);
}
if (neuron.nodeType == GeneNodeNEAT.GeneNodeType.Out) {
newColor = Color.Lerp(newColor, new Color(1f, 0f, 0f), 0.25f);
}
return newColor;
}
public void BuildBrainNetwork() {
if(neuronList == null) {
neuronList = new List<NeuronNEAT>();
}
else {
neuronList.Clear();
}
if(connectionList == null) {
connectionList = new List<ConnectionNEAT>();
}
else {
connectionList.Clear();
}
if (inputNeuronList == null) {
inputNeuronList = new List<NeuronNEAT>();
}
else {
inputNeuronList.Clear();
}
if (outputNeuronList == null) {
outputNeuronList = new List<NeuronNEAT>();
}
else {
outputNeuronList.Clear();
}
int numActiveNodes = 0;
int numActiveLinks = 0;
// Create nodes:
string nodesString = "BuildBrainNetwork() nodes: \n";
//Debug.Log("BuildBrainNetwork sourceGenome.nodeNEATList: " + sourceGenome.nodeNEATList.Count.ToString() + ", #sourceGenome.linkNEATList: " + sourceGenome.linkNEATList.Count.ToString());
for (int i = 0; i < sourceGenome.nodeNEATList.Count; i++) {
NeuronNEAT newNeuron = new NeuronNEAT(sourceGenome.nodeNEATList[i].id, sourceGenome.nodeNEATList[i].nodeType, sourceGenome.nodeNEATList[i].activationFunction);
neuronList.Add(newNeuron);
if(newNeuron.nodeType == GeneNodeNEAT.GeneNodeType.In) {
inputNeuronList.Add(newNeuron); // save reference to node
}
if (newNeuron.nodeType == GeneNodeNEAT.GeneNodeType.Out) {
outputNeuronList.Add(newNeuron);
}
nodesString += "[" + i.ToString() + "]: " + newNeuron.nodeType.ToString() + ", (" + sourceGenome.nodeNEATList[i].id.ToString() + ", " + sourceGenome.nodeNEATList[i].sourceAddonInno.ToString() + ", " + sourceGenome.nodeNEATList[i].sourceAddonRecursionNum.ToString() + ", " + sourceGenome.nodeNEATList[i].sourceAddonChannelNum.ToString() + ")\n";
numActiveNodes++;
}
//Debug.Log(nodesString);
// Create connections:
string connectionsString = "BuildBrainNetwork() connections: ";
for (int o = 0; o < sourceGenome.linkNEATList.Count; o++) {
if(sourceGenome.linkNEATList[o].enabled) {
numActiveLinks++;
ConnectionNEAT newConnection = new ConnectionNEAT(sourceGenome.GetNodeIndexFromInt3(sourceGenome.linkNEATList[o].fromNodeID), sourceGenome.GetNodeIndexFromInt3(sourceGenome.linkNEATList[o].toNodeID), sourceGenome.linkNEATList[o].weight);
connectionList.Add(newConnection);
neuronList[newConnection.toNodeID].incomingConnectionsList.Add(newConnection); // add this connection to its destination neuron's list
//Debug.Log("linkNEATList[" + o.ToString() + "], from: " + newConnection.fromNodeID.ToString() + ", to: " + newConnection.toNodeID.ToString() + ", weight: " + newConnection.weight[0]);
connectionsString += "[" + o.ToString() + "] " + newConnection.fromNodeID.ToString() + "->" + newConnection.toNodeID.ToString() + ", w: " + newConnection.weight[0].ToString() + ", ";
}
}
//Debug.Log("BuildBrainNetwork #nodes: " + numActiveNodes.ToString() + ", #links: " + numActiveLinks.ToString());
//Debug.Log(connectionsString);
}
private void CalculateNodeInputs(NeuronNEAT currentNeuron) { // recursive function
numNodesVisited++;
if (numNodesVisited >= 100) {
Debug.Log("CalculateNodeInputs() HIT MAX NODE COUNT!");
return;
}
visitedNodes.Add(currentNeuron); // to avoid infinite recursion
for (int i = 0; i < currentNeuron.incomingConnectionsList.Count; i++) {
//Debug.Log("CalculateNodeInputs! [" + currentNeuron.id.ToString() + "] incoming: " + currentNeuron.incomingConnectionsList[i].fromNodeID.ToString() + " -> " + currentNeuron.incomingConnectionsList[i].toNodeID.ToString());
//if (outputNeuronList.Contains(currentNeuron)) {
//Debug.Log("CalculateNodeInputs! visitedNodes.Clear();");
//}
currentNeuron.currentValue[0] += neuronList[currentNeuron.incomingConnectionsList[i].fromNodeID].previousValue * currentNeuron.incomingConnectionsList[i].weight[0];
if (neuronList[currentNeuron.incomingConnectionsList[i].fromNodeID].nodeType != GeneNodeNEAT.GeneNodeType.In) { // if incoming connection isn't an Input Neuron
if(visitedNodes.Contains(neuronList[currentNeuron.incomingConnectionsList[i].fromNodeID])) {
if(completedNodes.Contains(neuronList[currentNeuron.incomingConnectionsList[i].fromNodeID])) {
// done
}
else {
Debug.Log("Incoming connection has already been visited! RECURSION?? nodeID: " + currentNeuron.id.ToString() + ", fromNode: " + neuronList[currentNeuron.incomingConnectionsList[i].fromNodeID].id.ToString());
}
}
else {
CalculateNodeInputs(neuronList[currentNeuron.incomingConnectionsList[i].fromNodeID]);
}
}
else {
// if it IS an input neuron:
visitedNodes.Clear();
}
}
if(currentNeuron.nodeType == GeneNodeNEAT.GeneNodeType.Out) {
currentNeuron.currentValue[0] = TransferFunctions.Evaluate(TransferFunctions.TransferFunction.RationalSigmoid, currentNeuron.currentValue[0]);
}
else {
currentNeuron.currentValue[0] = TransferFunctions.Evaluate(TransferFunctions.TransferFunction.Linear, currentNeuron.currentValue[0]);
}
completedNodes.Add(currentNeuron);
//processedNodes.Add(currentNeuron);
//return allInputsProcessed;
}
public void BuildBrainNetwork()
{
if (neuronList == null)
{
neuronList = new List <NeuronNEAT>();
}
else
{
neuronList.Clear();
}
if (connectionList == null)
{
connectionList = new List <ConnectionNEAT>();
}
else
{
connectionList.Clear();
}
if (inputNeuronList == null)
{
inputNeuronList = new List <NeuronNEAT>();
}
else
{
inputNeuronList.Clear();
}
if (outputNeuronList == null)
{
outputNeuronList = new List <NeuronNEAT>();
}
else
{
outputNeuronList.Clear();
}
int numActiveNodes = 0;
int numActiveLinks = 0;
// Create nodes:
string nodesString = "BuildBrainNetwork() nodes: \n";
//Debug.Log("BuildBrainNetwork sourceGenome.nodeNEATList: " + sourceGenome.nodeNEATList.Count.ToString() + ", #sourceGenome.linkNEATList: " + sourceGenome.linkNEATList.Count.ToString());
for (int i = 0; i < sourceGenome.nodeNEATList.Count; i++)
{
NeuronNEAT newNeuron = new NeuronNEAT(sourceGenome.nodeNEATList[i].id, sourceGenome.nodeNEATList[i].nodeType, sourceGenome.nodeNEATList[i].activationFunction);
neuronList.Add(newNeuron);
if (newNeuron.nodeType == GeneNodeNEAT.GeneNodeType.In)
{
inputNeuronList.Add(newNeuron); // save reference to node
}
if (newNeuron.nodeType == GeneNodeNEAT.GeneNodeType.Out)
{
outputNeuronList.Add(newNeuron);
}
nodesString += "[" + i.ToString() + "]: " + newNeuron.nodeType.ToString() + ", (" + sourceGenome.nodeNEATList[i].id.ToString() + ", " + sourceGenome.nodeNEATList[i].sourceAddonInno.ToString() + ", " + sourceGenome.nodeNEATList[i].sourceAddonRecursionNum.ToString() + ", " + sourceGenome.nodeNEATList[i].sourceAddonChannelNum.ToString() + ")\n";
numActiveNodes++;
}
//Debug.Log(nodesString);
// Create connections:
string connectionsString = "BuildBrainNetwork() connections: ";
for (int o = 0; o < sourceGenome.linkNEATList.Count; o++)
{
if (sourceGenome.linkNEATList[o].enabled)
{
numActiveLinks++;
ConnectionNEAT newConnection = new ConnectionNEAT(sourceGenome.GetNodeIndexFromInt3(sourceGenome.linkNEATList[o].fromNodeID), sourceGenome.GetNodeIndexFromInt3(sourceGenome.linkNEATList[o].toNodeID), sourceGenome.linkNEATList[o].weight);
connectionList.Add(newConnection);
neuronList[newConnection.toNodeID].incomingConnectionsList.Add(newConnection); // add this connection to its destination neuron's list
//Debug.Log("linkNEATList[" + o.ToString() + "], from: " + newConnection.fromNodeID.ToString() + ", to: " + newConnection.toNodeID.ToString() + ", weight: " + newConnection.weight[0]);
connectionsString += "[" + o.ToString() + "] " + newConnection.fromNodeID.ToString() + "->" + newConnection.toNodeID.ToString() + ", w: " + newConnection.weight[0].ToString() + ", ";
}
}
//Debug.Log("BuildBrainNetwork #nodes: " + numActiveNodes.ToString() + ", #links: " + numActiveLinks.ToString());
//Debug.Log(connectionsString);
}
