public NeuralNetwork(RoomControl rc, FrogMove fm) {//Inputs are fed to the hidden layer which are in turn fed into the visible layer
hiddenLayer = new Neuron[hiddenSize];
this.rc = rc;
this.fm = fm;
for (int i = 0; i < hiddenSize; i++) {
hiddenLayer [i] = new Neuron(this, numInputs, 1);
}
topLayer = new Neuron[numOutputs];
topLayer [0] = new Neuron(this, hiddenSize, 1);
topLayer [1] = new Neuron(this, hiddenSize, 1);
topLayer [2] = new Neuron(this, hiddenSize, 0);
topLayer [3] = new Neuron(this, hiddenSize, 2);
}
public Vector2 GetNearestPellet(FrogMove frog) {
Vector3 position = frog.transform.position;
Vector3 potentialPosition = Vector3.zero; //Potential so that we do not need to make a new float annd Vector3 each time
float sqrDistance = Mathf.Infinity;
float potentialSqrDistance = -1;
foreach (Transform p in pellets) {
potentialSqrDistance = (p.transform.position - position).sqrMagnitude;
if (potentialSqrDistance < sqrDistance) {
sqrDistance = potentialSqrDistance;
potentialPosition = p.transform.position;
}
}
return (Vector2)(potentialPosition);
}
public NeuralNetwork(RoomControl rc, FrogMove fm, Neuron[] neurons) {//We already have the whole neuron array (called in generations after the 1st)
hiddenLayer = new Neuron[hiddenSize];
this.rc = rc;
this.fm = fm;
int i = 0;
for (; i < hiddenSize; i++) {
hiddenLayer [i] = neurons [i];
hiddenLayer [i].SetParent(this);
}
topLayer = new Neuron[numOutputs];
for (int x=0; x<numOutputs; x++) {
topLayer [x] = neurons [i + x];
topLayer [x].SetParent(this);
}
}
void doGeneration() {
List<NeuralNetwork> networks = new List<NeuralNetwork>(pelletCount * 5); //Max upper bounds for total points is number of (pellets * 10) / 2
for (int i = 0; i < frogs.Length; i++) {
for (int x = 0; x < frogs[i].GetPoints()+1; x++) { //Make sure even the laziest frog has some chance of breeding
networks.Add(frogs [i].nn);
}
}
FrogMove[] newFrogs = new FrogMove[frogCount];
//Debug.Log(frogCount);
for (int i = 0; i < frogCount; i++) {
int lIndex = (int)(Random.value * networks.Count);
int rIndex = (int)(Random.value * networks.Count);
while (rIndex==lIndex) { //Make sure we are not breeding with ourselves
rIndex = (int)(Random.value * networks.Count);
}
FrogMove fm = ((GameObject)Instantiate(frog, new Vector3(Random.Range(-roomSize, roomSize), Random.Range(-roomSize, roomSize)), Quaternion.identity)).GetComponent<FrogMove>();
//Debug.Log(fm.gameObject.transform.position);
Neuron[] neurons = NeuralNetwork.Breed(networks [lIndex].GetNeurons(), networks [rIndex].GetNeurons());
NeuralNetwork nn = new NeuralNetwork(this, fm, neurons);
fm.Setup(this, roomSize, nn);
newFrogs [i] = fm;
}
Debug.Log(pelletCount - pellets.Count + ":" + (float)(pelletCount - pellets.Count) / lastScore);
lastScore = pelletCount - pellets.Count;
while (pellets.Count<pelletCount) {
Transform tf = ((GameObject)Instantiate(pellet, new Vector3(Random.Range(-roomSize, roomSize), Random.Range(-roomSize, roomSize)), Quaternion.identity)).transform;
pellets.Add(tf);
}
for (int i = 0; i < frogCount; i++) {
Destroy(frogs [i].gameObject);
}
frogs = newFrogs;
Invoke("doGeneration", genTime);
}
