//called for homogeneous agents, each one runs thier sensors through the network
public void determineAction()
{
brain.SetInputSignals(sensors);
brain.MultipleSteps(2);
float[] outputs = new float[3];
outputs[0] = (float)brain.GetOutputSignal(0);
outputs[1] = (float)brain.GetOutputSignal(1);
outputs[2] = (float)brain.GetOutputSignal(2);
//the rest is the same as the heterogeneous, so call that fucntion
determineAction(outputs);
}
public bool timeStepMulti()
{
int predCount = Player.Count;
float[] inputs;
inputs = new float[Player.Count * 5];
if (Enemy.Count == 0)
{
return(false);
}
//fill the predators' sensors and then copy those inputs to a big array that will input to the big ANN
for (int pred = 0; pred < predCount; pred++)
{
Player[pred].clearSensors();
Player[pred].fillSensorsFront(Enemy);
//Here we assume 5 sensors per predator
for (int sense = 0; sense < 5; sense++)
{
inputs[sense + pred * 5] = Player[pred].sensors[sense];
}
}
bigBrain.SetInputSignals(inputs);
bigBrain.MultipleSteps(2);
float[] outputs = new float[3];
for (int agent = 0; agent < predCount; agent++)
{
outputs[0] = (float)bigBrain.GetOutputSignal(0 + agent * 3);
outputs[1] = (float)bigBrain.GetOutputSignal(1 + agent * 3);
outputs[2] = (float)bigBrain.GetOutputSignal(2 + agent * 3);
(Player[agent]).determineAction(outputs);
//If you're running the visualization, uncomment this line otherwise the sensor displays will lag by 1 timestep
//pred.fillSensorsFront(Enemy);
}
int preyCount = Enemy.Count;
for (int prey = 0; prey < preyCount; prey++)
{
//mark the dead guys for deletion
if (Enemy[prey].hitpoints <= 0)
{
removeThese.Add(Enemy[prey]);
continue;
}
Enemy[prey].determineAction();
}
foreach (Prey a in removeThese)
{
Enemy.Remove(a);
}
removeThese.Clear();
return(true);
}