public Simulator(MinCogPhenotype phenotype)
{
InitializeComponent();
_random = new Random();
sim = new MinCogSimulator(phenotype);
foreach (var h in phenotype.HiddenNodes)
{
System.Diagnostics.Debug.WriteLine("Hidden");
System.Diagnostics.Debug.WriteLine("g:" + h.Gain);
System.Diagnostics.Debug.WriteLine("t:" + h.TimeConstant);
foreach (var v in h.UpstreamConnections)
{
System.Diagnostics.Debug.WriteLine(v.left.Name + " : " + v.right);
}
}
foreach (var h in phenotype.OutputNodes)
{
System.Diagnostics.Debug.WriteLine("Output");
System.Diagnostics.Debug.WriteLine("g:" + h.Gain);
System.Diagnostics.Debug.WriteLine("t:" + h.TimeConstant);
foreach (var v in h.UpstreamConnections)
{
System.Diagnostics.Debug.WriteLine(v.left.Name + " : " + v.right);
}
}
testNet(phenotype);
}
public MinCogAgent(MinCogPhenotype pheno)
{
Pheno = pheno;
foreach (Node hiddenNode in pheno.HiddenNodes)
{
hiddenNode.InternalState = 0;
hiddenNode.Output = 0;
}
foreach (Node motorNode in pheno.OutputNodes)
{
motorNode.InternalState = 0;
motorNode.Output = 0;
}
Debug.Assert(pheno.HiddenNodes[0].InternalState == 0);
CurrentPosition = 0;
}
public MinCogSimulator(MinCogPhenotype phenotype)
{
GoodHits = 0;
BadHits = 0;
Avoid = 0;
Big = 0;
Round = 0;
Agent = new MinCogAgent(phenotype);
CurrentBlockSize = 0;
for (int i = 0; i < Board.GetLength(0); i++)
{
for (int j = 0; j < Board.GetLength(1); j++)
{
Board[i, j] = 0;
}
}
_random = new Random();
}
public override AbstractPhenotype Translate(BitVector genom)
{
Network network = new Network();
network.createGraph();
int index = 0;
foreach (Node hiddenNode in network.HiddenNodes)
{
foreach (var neighbour in hiddenNode.UpstreamConnections)
{
if (neighbour.left == network.BiasNode)
neighbour.right = binaryToDoubleRange(genom.GetRange(index++*8, 8), -10.0, 0.0);
else
neighbour.right = binaryToDoubleRange(genom.GetRange(index++*8, 8), -5.0, 5.0);
}
hiddenNode.Gain = binaryToDoubleRange(genom.GetRange(index++*8, 8), 1.0, 5.0);
hiddenNode.TimeConstant = binaryToDoubleRange(genom.GetRange(index++*8, 8), 1.0, 2.0);
}
foreach (Node outputNode in network.OutputNodes)
{
foreach (var neighbour in outputNode.UpstreamConnections)
{
if (neighbour.left == network.BiasNode)
neighbour.right = binaryToDoubleRange(genom.GetRange(index++*8, 8), -10.0, 0.0);
else
neighbour.right = binaryToDoubleRange(genom.GetRange(index++*8, 8), -5.0, 5.0);
}
outputNode.Gain = binaryToDoubleRange(genom.GetRange(index++*8, 8), 1.0, 5.0);
outputNode.TimeConstant = binaryToDoubleRange(genom.GetRange(index++*8, 8), 1.0, 2.0);
}
MinCogPhenotype pheno = new MinCogPhenotype(network.InputNodes, network.HiddenNodes, network.OutputNodes, network.BiasNode)
{
Genotype = genom,
Fitness = 0.0,
RouletteProportion = 0.0
};
return pheno;
}
public override void EvolutionLoop()
{
for (int i = 0; i < Generations; i++)
{
Evolve();
System.Diagnostics.Debug.WriteLine("Generation:" + i);
System.Diagnostics.Debug.WriteLine("High:" + High);
System.Diagnostics.Debug.WriteLine("AVG:" + Average);
System.Diagnostics.Debug.WriteLine("SD:" + SD);
System.Diagnostics.Debug.WriteLine("Best:" + BestOfRun.Fitness);
if (TheOneAndOnly == null)
{
TheOneAndOnly = BestOfRun;
}
if (BestOfRun.Fitness > TheOneAndOnly.Fitness)
{
TheOneAndOnly = BestOfRun;
}
}
}
public void testNet(MinCogPhenotype pheno)
{
MinCogAgent agent = new MinCogAgent(pheno);
List<bool[]> testInputs = new List<bool[]>();
bool[] input = new bool[5];
input[0] = true;
input[1] = true;
input[2] = true;
input[3] = true;
input[4] = true;
testInputs.Add(input);
bool[] input2 = new bool[5];
input[0] = false;
input[1] = false;
input[2] = false;
input[3] = false;
input[4] = false;
testInputs.Add(input2);
bool[] input3 = new bool[5];
input[0] = true;
input[1] = true;
input[2] = false;
input[3] = false;
input[4] = false;
testInputs.Add(input3);
bool[] input4 = new bool[5];
input[0] = false;
input[1] = true;
input[2] = true;
input[3] = false;
input[4] = false;
testInputs.Add(input4);
bool[] input5 = new bool[5];
input[0] = false;
input[1] = false;
input[2] = false;
input[3] = true;
input[4] = true;
testInputs.Add(input5);
bool[] input6 = new bool[5];
input[0] = false;
input[1] = false;
input[2] = true;
input[3] = true;
input[4] = true;
testInputs.Add(input6);
bool[] input7 = new bool[5];
input[0] = false;
input[1] = true;
input[2] = true;
input[3] = true;
input[4] = true;
testInputs.Add(input7);
bool[] input8 = new bool[5];
input[0] = true;
input[1] = true;
input[2] = true;
input[3] = true;
input[4] = false;
testInputs.Add(input8);
Debug.WriteLine("--------------------- Test -----------------------");
foreach (bool[] it in testInputs)
{
Debug.Write("--------------- Next input --------------------");
agent.SetNewPosition(input);
}
}