/// <summary>
/// Simulation entry point
/// </summary>
/// <param name="args">not used</param>
public static void Main(string[] args)
{
// Create and run the simulation engine
Engine = new EvoEngine();
Engine.Run();
Engine.Dispose();
}
internal virtual void Think(EvoEngine engine)
{
Food food = GetClosestFood(engine);
if (food == null)
{
return; // Do nothing if no food is found
}
if (food.Location.X > snake.Location.X)
{
snake.AccelerateRight();
}
else
{
snake.AccelerateLeft();
}
if (food.Location.Y > snake.Location.Y)
{
snake.AccelerateDown();
}
else
{
snake.AccelerateUp();
}
}
internal override void Think(EvoEngine engine)
{
if (Network == null)
{
Network = new ActivationNetwork(new BipolarSigmoidFunction(), WorldScene.NeuralNetworkShape[0], WorldScene.NeuralNetworkShape.Skip(1).ToArray());
// Nw = (I+1)*H1 +(H1+1)*H2 +(H2+1)*O
// I = inputs
// H1 = neurons in hidden layer 1
// H2 = neurons in hidden layer 2
// O = Number of outputs
// Nw = (5+1)*0 + (0+1)*0 + (5+1)*4 = 24 // 5in 4out
// Nw = (5+1)*4 + (4+1)*0 + (4+1)*4 = 44 // 5in 1hl4 4out
// Nw = (11+1)*4 + (4+1)*0 + (4+1)*4 = 68 // 11in 1hl4 4out
var dna = GetCurrentGene();
SetNetworkWeights(dna);
//float scale = (float)dna.Genes[scene.NeuralNetworkWeightsCount - 1 + 0];
//if (scale < 0.4) scale = 0.4f;
//if (scale > 0.6) scale = 0.6f;
//Snake.SetScale(scale);
//int div = scene.NeuralNetworkWeightsCount / 3;
//Color c = new Color(
// (int)Math.Max((dna.Genes[div*0] * 255), 128),
// (int)Math.Max((dna.Genes[div*1] * 255), 128),
// (int)Math.Max((dna.Genes[div*2] * 255), 128)
// );
//Snake.Color = c;
}
if (engine.KeyState.GetPressedKeys().Length > 0)
{
return;
}
double[] netout = Network.Compute(convertToDouble(Snake.GetFoodSensorsActivation()));
//if (Math.Max(netout[0], netout[1]) > 0.5)
if (netout[0] > netout[1])
{
Snake.Accelerate();
}
else
{
Snake.Brake();
}
//if (Math.Max(netout[2], netout[3]) > 0.5)
if (netout[2] > netout[3])
{
Snake.RotateLeft();
}
else
{
Snake.RotateRight();
}
}
private Food GetClosestFood(EvoEngine engine)
{
WorldScene scene = Extensions.GetWorldScene();
Food food = null;
float dist = float.MaxValue;
foreach (IEntity entity in scene.World)
{
if (entity.GetType() == typeof(Food))
{
float fooddist = Extensions.GetVectorDistance(snake.Location, entity.Location);
if (fooddist < dist && dist > 50.0f) //Ensure we do not circle current food
{
food = (Food)entity;
dist = fooddist;
}
}
}
return(food);
}
public WorldScene(EvoEngine engine) : base(0, false, false, false)
{
this.engine = engine;
this.NeuralNetworkWeightsCount = Extensions.NeuralNetworkWeightCount(NeuralNetworkShape);
}