public Creature(Creature mother, CreatureManager manager) :
this(manager)
{
id = currentId++;
motherId = mother.id;
generation = mother.generation + 1;
if (generation > manager.MaxGeneration)
{
manager.MaxGeneration = generation;
}
this.pos = mother.pos;
this.viewAngle = Simulation.RandomFloat() * Mathf.PI * 2;
this.brain = mother.brain.CloneFullMesh();
AmountOfMemory = mother.AmountOfMemory;
AmountOfHidden = mother.AmountOfHidden;
inMemory = new InputNeuron[AmountOfMemory];
outMemory = new WorkingNeuron[AmountOfMemory];
SetupFeelers(true, mother.AmountOfFeelers);
SetupVariablesFromBrain();
DoMutations(mother);
if (manager.SelectedCreature == null || manager.SelectedCreature.Energy < 100)
{
manager.SelectedCreature = this;
}
}
private void CalculateCollisionGridPos()
{
lock (this)
{
collisionGridX = (int)((pos.X / EvoGame.Instance.tileMap.GetWorldWidth()) * CreatureManager.COLLISIONGRIDSIZE / 3 + CreatureManager.COLLISIONGRIDSIZE / 3);
collisionGridY = (int)((pos.Y / EvoGame.Instance.tileMap.GetWorldHeight()) * CreatureManager.COLLISIONGRIDSIZE / 3 + CreatureManager.COLLISIONGRIDSIZE / 3);
collisionGridX = Mathf.Clamp(collisionGridX, 0, CreatureManager.COLLISIONGRIDSIZE - 1);
collisionGridY = Mathf.Clamp(collisionGridY, 0, CreatureManager.COLLISIONGRIDSIZE - 1);
CreatureManager.AddToCollisionGrid(collisionGridX, collisionGridY, this);
}
}
public void HandleCollisions()
{
feelerOcclusion = 0;
feelerCreature = null;
CalculateFeelerPos(MAXIMUMFEELERDISTANCE);
for (int i = collisionGridX - 1; i <= collisionGridX + 1; i++)
{
for (int k = collisionGridY - 1; k <= collisionGridY + 1; k++)
{
if (i >= 0 && k >= 0 && i < CreatureManager.COLLISIONGRIDSIZE && k < CreatureManager.COLLISIONGRIDSIZE)
{
List <Creature> collisionList = CreatureManager.GetCollisionGridList(i, k);
HandleCollisionsWithList(collisionList);
}
}
}
}
public static CreatureManager Deserialize(string fileName, Simulation sim)
{
try
{
CreatureManager manager = null;
IFormatter formatter = new BinaryFormatter();
using (Stream stream = new FileStream(fileName,
FileMode.Open,
FileAccess.Read, FileShare.None))
{
try
{
manager = formatter.Deserialize(stream) as CreatureManager;
}
catch (Exception)
{
return(null);
}
};
if (manager == null)
{
return(null);
}
manager.Initialize(sim);
long id = 0;
foreach (Creature creature in manager.Creatures)
{
if (creature.Id > id)
{
id = creature.Id;
}
creature.SetupManager(manager);
}
Creature.currentId = id + 1;
return(manager);
}
catch (IOException)
{
// Dir or file not found
}
return(null);
}
public Creature(Creature mother, CreatureManager manager) :
this(manager)
{
id = currentId++;
//this.mother = mother;
generation = mother.generation + 1;
if (generation > _maximumGeneration)
{
_maximumGeneration = generation;
}
this.pos = mother.pos;
this.viewAngle = Simulation.RandomFloat() * Mathf.PI * 2;
this.brain = mother.brain.CloneFullMesh();
AmountOfMemory = mother.AmountOfMemory;
inMemory = new InputNeuron[AmountOfMemory];
outMemory = new WorkingNeuron[AmountOfMemory];
SetupVariablesFromBrain();
CalculateFeelerPos(MAXIMUMFEELERDISTANCE);
if (Simulation.RandomFloat() > 0.01f)
{
MutateConnections();
}
else
{
MutateMemory();
}
MutateColor(mother);
GenerateColorInv();
if (manager.SelectedCreature == null || manager.SelectedCreature.Energy < 100)
{
manager.SelectedCreature = this;
}
}
public Creature(Creature mother, Creature father, CreatureManager manager) :
this(manager)
{
id = currentId++;
motherId = mother.id;
generation = mother.generation + 1;
if (generation > manager.MaxGeneration)
{
manager.MaxGeneration = generation;
}
pos = mother.pos;
viewAngle = Simulation.RandomFloat() * Mathf.PI * 2;
if (Simulation.SimulationConfiguration.MateBrainPercentage == 1.0f)
{
brain = father.brain.CloneFullMesh();
}
else
{
brain = mother.brain.CloneFullMesh();
brain.MixNetwork(father.brain, Simulation.SimulationConfiguration.MateBrainPercentage);
}
AmountOfMemory = mother.AmountOfMemory;
AmountOfHidden = mother.AmountOfHidden;
inMemory = new InputNeuron[AmountOfMemory];
outMemory = new WorkingNeuron[AmountOfMemory];
SetupFeelers(true, mother.AmountOfFeelers);
SetupVariablesFromBrain();
DoMutations(mother);
if (manager.SelectedCreature == null || manager.SelectedCreature.Energy <= 100)
{
manager.SelectedCreature = this;
}
}
// For deserialization
public Creature(CreatureManager manager)
{
Manager = manager;
CalculateCollisionGridPos();
}
public Creature(Vector2 pos, float viewAngle, CreatureManager manager) :
this(manager)
{
id = currentId++;
this.pos = pos;
this.viewAngle = viewAngle;
inBias.SetName(NAME_IN_BIAS);
inFoodValuePosition.SetName(NAME_IN_FOODVALUEPOSITION);
inFoodValueFeeler.SetName(NAME_IN_FOODVALUEFEELER);
inOcclusionFeeler.SetName(NAME_IN_OCCLUSIONFEELER);
inEnergy.SetName(NAME_IN_ENERGY);
inAge.SetName(NAME_IN_AGE);
inGeneticDifference.SetName(NAME_IN_GENETICDIFFERENCE);
inWasAttacked.SetName(NAME_IN_WASATTACKED);
inWaterOnFeeler.SetName(NAME_IN_WATERONFEELER);
inWaterOnCreature.SetName(NAME_IN_WATERONCREATURE);
//inOscilation .SetName(NAME_IN_OSCILATION);
inMemory = new InputNeuron[AmountOfMemory];
for (int i = 0; i < AmountOfMemory; i++)
{
inMemory[i] = new InputNeuron();
inMemory[i].SetName(NAME_IN_MEMORY + (i + 1));
}
outBirth.SetName(NAME_OUT_BIRTH);
outRotate.SetName(NAME_OUT_ROTATE);
outForward.SetName(NAME_OUT_FORWARD);
outFeelerAngle.SetName(NAME_OUT_FEELERANGLE);
outAttack.SetName(NAME_OUT_ATTACK);
outEat.SetName(NAME_OUT_EAT);
//outOscilation .SetName(NAME_OUT_OSCILATION);
outMemory = new WorkingNeuron[AmountOfMemory];
for (int i = 0; i < AmountOfMemory; i++)
{
outMemory[i] = new WorkingNeuron();
outMemory[i].SetName(NAME_OUT_MEMORY + (i + 1));
}
brain = new NeuronalNetwork();
brain.AddInputNeuron(inBias);
brain.AddInputNeuron(inFoodValuePosition);
brain.AddInputNeuron(inFoodValueFeeler);
brain.AddInputNeuron(inOcclusionFeeler);
brain.AddInputNeuron(inEnergy);
brain.AddInputNeuron(inAge);
brain.AddInputNeuron(inGeneticDifference);
brain.AddInputNeuron(inWasAttacked);
brain.AddInputNeuron(inWaterOnFeeler);
brain.AddInputNeuron(inWaterOnCreature);
//brain.AddInputNeuron(inOscilation);
for (int i = 0; i < AmountOfMemory; i++)
{
brain.AddInputNeuron(inMemory[i]);
}
brain.GenerateHiddenNeurons(10);
brain.AddOutputNeuron(outBirth);
brain.AddOutputNeuron(outRotate);
brain.AddOutputNeuron(outForward);
brain.AddOutputNeuron(outFeelerAngle);
brain.AddOutputNeuron(outAttack);
brain.AddOutputNeuron(outEat);
//brain.AddOutputNeuron(outOscilation);
for (int i = 0; i < AmountOfMemory; i++)
{
brain.AddOutputNeuron(outMemory[i]);
}
brain.GenerateFullMesh();
brain.RandomizeAllWeights();
CalculateFeelerPos(MAXIMUMFEELERDISTANCE);
Color = new Color(Simulation.RandomFloat(), Simulation.RandomFloat(), Simulation.RandomFloat());
GenerateColorInv();
CalculateCollisionGridPos();
}
public void SetupManager(CreatureManager manager)
{
Manager = manager;
CalculateCollisionGridPos();
SetupVariablesFromBrain();
}
public Creature(Vector2 pos, float viewAngle, CreatureManager manager) :
this(manager)
{
id = currentId++;
this.pos = pos;
this.viewAngle = viewAngle;
inBias.SetName(NAME_IN_BIAS);
inFoodValuePosition.SetName(NAME_IN_FOODVALUEPOSITION);
inEnergy.SetName(NAME_IN_ENERGY);
inAge.SetName(NAME_IN_AGE);
inWasAttacked.SetName(NAME_IN_WASATTACKED);
inWaterOnCreature.SetName(NAME_IN_WATERONCREATURE);
//inOscilation .SetName(NAME_IN_OSCILATION);
inMemory = new InputNeuron[AmountOfMemory];
for (int i = 0; i < AmountOfMemory; i++)
{
inMemory[i] = new InputNeuron();
inMemory[i].SetName(NAME_IN_MEMORY + (i + 1));
}
outBirth.SetName(NAME_OUT_BIRTH);
outRotate.SetName(NAME_OUT_ROTATE);
outForward.SetName(NAME_OUT_FORWARD);
outStrafe.SetName(NAME_OUT_STRAFE);
outEat.SetName(NAME_OUT_EAT);
outMate_Age.SetName(NAME_OUT_MATE_AGE);
outMate_Energy.SetName(NAME_OUT_MATE_ENERGY);
outMate_Generation.SetName(NAME_OUT_MATE_GENERATION);
outMate_GeneticDifference.SetName(NAME_OUT_MATE_GENETICDIFFERENCE);
outMate_Age_Weight.SetName(NAME_OUT_MATE_AGE_WEIGHT);
outMate_Energy_Weight.SetName(NAME_OUT_MATE_ENERGY_WEIGHT);
outMate_Generation_Weight.SetName(NAME_OUT_MATE_GENERATION_WEIGHT);
outMate_GeneticDifference_Weight.SetName(NAME_OUT_MATE_GENETICDIFFERENCE_WEIGHT);
//outOscilation .SetName(NAME_OUT_OSCILATION);
outMemory = new WorkingNeuron[AmountOfMemory];
for (int i = 0; i < AmountOfMemory; i++)
{
outMemory[i] = new WorkingNeuron(-1);
outMemory[i].SetName(NAME_OUT_MEMORY + (i + 1));
}
brain = new NeuronalNetwork();
brain.AddInputNeuron(inBias);
brain.AddInputNeuron(inFoodValuePosition);
brain.AddInputNeuron(inEnergy);
brain.AddInputNeuron(inAge);
brain.AddInputNeuron(inWasAttacked);
brain.AddInputNeuron(inWaterOnCreature);
//brain.AddInputNeuron(inOscilation);
for (int i = 0; i < AmountOfMemory; i++)
{
brain.AddInputNeuron(inMemory[i]);
}
brain.GenerateHiddenNeurons(AmountOfHidden, manager.simulation.SimulationConfiguration.NumberOfStartNeuronLayers);
brain.AddOutputNeuron(outBirth);
brain.AddOutputNeuron(outRotate);
brain.AddOutputNeuron(outForward);
brain.AddOutputNeuron(outStrafe);
brain.AddOutputNeuron(outEat);
brain.AddOutputNeuron(outMate_Age);
brain.AddOutputNeuron(outMate_Energy);
brain.AddOutputNeuron(outMate_Generation);
brain.AddOutputNeuron(outMate_GeneticDifference);
brain.AddOutputNeuron(outMate_Age_Weight);
brain.AddOutputNeuron(outMate_Energy_Weight);
brain.AddOutputNeuron(outMate_Generation_Weight);
brain.AddOutputNeuron(outMate_GeneticDifference_Weight);
//brain.AddOutputNeuron(outOscilation);
for (int i = 0; i < AmountOfMemory; i++)
{
brain.AddOutputNeuron(outMemory[i]);
}
SetupFeelers(false, 1);
brain.GenerateFullMesh();
brain.RandomizeAllWeights();
Color = Color.FromFloat(Simulation.RandomFloat(), Simulation.RandomFloat(), Simulation.RandomFloat());
GenerateColorInv();
CalculateCollisionGridPos();
}
