/// <summary>
/// Initialise new lifeform
/// </summary>
/// <param name="_genotype">The genotype to use</param>
/// <param name="layerSizes">The layerSizes of the neural network</param>
public LifeForm(Genotype _genotype, params uint[] layerSizes)
{
isAlive = false;
GenoType = _genotype;
NN = new NeuralNetwork(layerSizes);
//Check for matching number of genes to weights
if (NN.WeightCount != _genotype.GeneCount)
{
throw new ArgumentException("Lifeform(): Genotype gene count does not match the number of weights in neural network");
}
IEnumerator <float> chromosome = _genotype.GetEnumerator();
//Assign chromosome to weights in neural network
foreach (NeuralLayer layer in NN.Layers)
{
for (int x = 0; x < layer.Weights.GetLength(0); x++) //Neurons of current layer
{
for (int y = 0; y < layer.Weights.GetLength(1); y++) //Neurons of next layer
{
layer.Weights[x, y] = chromosome.Current;
chromosome.MoveNext();
}
}
}
}
/// <summary>
/// Initialises a new agent from given genotype, constructing a new feedfoward neural network from
/// the parameters of the genotype.
/// </summary>
/// <param name="genotype">The genotpye to initialise this agent from.</param>
/// <param name="topology">The topology of the feedforward neural network to be constructed from given genotype.</param>
public Agent(Genotype genotype, NeuralLayer.ActivationFunction defaultActivation, params uint[] topology)
{
IsAlive = false;
this.Genotype = genotype;
FNN = new NeuralNetwork(topology);
foreach (NeuralLayer layer in FNN.Layers)
{
layer.NeuronActivationFunction = defaultActivation;
}
//Check if topology is valid
if (FNN.WeightCount != genotype.ParameterCount)
{
throw new ArgumentException("The given genotype's parameter count must match the neural network topology's weight count.");
}
//Construct FNN from genotype
IEnumerator <float> parameters = genotype.GetEnumerator();
foreach (NeuralLayer layer in FNN.Layers) //Loop over all layers
{
for (int i = 0; i < layer.Weights.GetLength(0); i++) //Loop over all nodes of current layer
{
for (int j = 0; j < layer.Weights.GetLength(1); j++) //Loop over all nodes of next layer
{
layer.Weights[i, j] = parameters.Current;
parameters.MoveNext();
}
}
}
}
