public override Option <float> FloatObs(BaseAgent agent)
{
if (ObserveAsBool)
{
return((agent.GetComponent <ObservableFields>().FieldsHash.ContainsKey(FieldName) ? 1f : 0f)
.SomeNotNull());
}
else
{
float f = 0;
agent.GetComponent <ObservableFields>().FieldsHash.TryGetValue(FieldName, out f);
return(f.SomeNotNull());
}
}
public override void AddReward(BaseAgent agent, float[] vectorActions)
{
if (agent.GetComponent <ObservableFields>().FieldsHash.ContainsKey(Label))
{
agent.AddReward(Reward / (float)agent.agentParameters.maxStep);
}
}
public override void Initialize(BaseAgent agent)
{
if (agent.gameObject.CompareTag(Tag))
{
agent.GetComponent <ObservableFields>().FieldsHash.Add(Label, Time.time);
}
}
/*
* Reproduction: método que tramita la reproducción de los agentes. Si la reproducción sale bien, llamarán al método CrossOver que se
* encargará de instanciar a los nuevos agentes.
*/
public bool Reproduction(BaseAgent otherParent)
{
waitingTime = 0;
if (otherParent.tag == "Pez")
{
if (gameObject.GetComponent <Fish>().juvenile || otherParent.GetComponent <Fish>().juvenile)
{
return(false);
}
}
else if (otherParent.tag == "Rana")
{
if (Mathf.Pow(transform.position.x, 2) + Mathf.Pow(transform.position.y, 2) > Mathf.Pow(20.5f, 2))
{
return(false);
}
}
float other = otherParent.CalculateFitness();
double av = (CalculateFitness() + other) / 2;
// Las posibilidades de reproduccion son mas altas conforme mayor sea el fitness de ambos
if (Random.Range(0, 100) < av)
{
float offspringNumber = Random.Range(1, (dna[3] + otherParent.dna[3]) / 2);
//Debug.Log(offspringNumber);
for (int i = 0; i < offspringNumber; i++)
{
Crossover(otherParent);
}
timesReproduced++;
return(true);
}
return(false);
}