public NeuralNet(int inputs, int outputs, NodeIDGenerator nodeIDGenerator)
{
Inputs = inputs;
Outputs = outputs;
Innovation = 0;
generator = nodeIDGenerator;
Neurons = new List <Node>();
Connections = new List <Connection>();
for (int i = 0; i < Inputs; i++)
{
var node = new Node(generator.Next, Node.NodeTypes.Input)
{
Position = new Vector2Int(0, i),
};
Neurons.Add(node);
}
for (int i = 0; i < Outputs; i++)
{
var node = new Node(generator.Next, Node.NodeTypes.Output)
{
Position = new Vector2Int(int.MaxValue, i),
};
Neurons.Add(node);
}
InitializeConnections();
}
// Use this for initialization
private void Start()
{
nodeIDGenerator = new NodeIDGenerator();
manager = new SimulationManager(InitialPopulation, nodeIDGenerator);
fishManagers = new List <EntityManager>();
spawnBoundaryCenter = new Vector3(0, 0, 0);
spawnBoundaryRaduis = 67f;
for (int i = 0; i < InitialPopulation; i++)
{
var fish = CreateNewFish();
fishManagers.Add(fish);
manager.AddBrain(fish.Brain);
}
manager.IsRunning = true;
inspector.Brain = fishManagers[0].Brain;
inspector.enabled = true;
}
public SimulationManager(uint population, NodeIDGenerator nodeIDGenerator)
{
Brains = new List <NeuralNet>();
NodeIDGenerator = nodeIDGenerator;
}
