public Shepherd(
int numberOfSeenShepherds,
int numberOfSeenSheep,
int numberOfNeuronsInHiddenLayer,
int numberOfHiddenLayers,
EPerceptionType perceptionType,
bool randomizeNeuralNet)
: this()
{
NumberOfSeenShepherds = numberOfSeenShepherds;
NumberOfSeenSheep = numberOfSeenSheep;
perception = PerceptionFactory.GetPerception(perceptionType);
Brain = NeuralNetsFactory.GetMultiLayerNeuralNet(new NeuralNetParameters()
{
InputLayerSize = (numberOfSeenShepherds + numberOfSeenSheep) * 2 + 2,
OutputLayerSize = NEURAL_NET_OUTPUT_LAYER_SIZE,
HiddenLayerSize = numberOfNeuronsInHiddenLayer,
NumberOfHiddenLayers = numberOfHiddenLayers
});
if (randomizeNeuralNet)
{
Brain.Randomize();
}
}
public override ThinkingAgent GetClone()
{
return(new Shepherd()
{
Brain = Brain.GetClone(),
NumberOfSeenShepherds = NumberOfSeenShepherds,
NumberOfSeenSheep = NumberOfSeenSheep,
perception = PerceptionFactory.GetPerception(perception.PerceptionType),
Position = new Vector2D(Position.X, Position.Y)
});
}
public Shepherd(
int numberOfSeenShepherds,
int numberOfSeenSheep,
EPerceptionType perceptionType,
NeuralNet brain)
: this()
{
NumberOfSeenShepherds = numberOfSeenShepherds;
NumberOfSeenSheep = numberOfSeenSheep;
perception = PerceptionFactory.GetPerception(perceptionType);
Brain = brain;
}
