public Agent GetRandomRoulleteAgentFromList(List <Agent> agents, SpecieType agentType)
{
int index = _geneticEvolution.Roulette(agents.Where(a => a.Type == agentType)
.Select(a => a.GetFitness(ApplicationSettings.ScoreForEatingGoodFood, ApplicationSettings.ScoreForEatingBadFood, ApplicationSettings.ScoreForExisting)).ToArray());
return(agents[index]);
}
public Food(Vector2 position, SpecieType specieType, Color color, int foodValue)
{
FoodValue = foodValue;
Position = position;
Radius = 5;
Color = color;
Type = specieType;
}
public void DuplicateAgent(SpecieType agentType, Agent fromAgent)
{
int hiddenNeurons = fromAgent.GetHiddenNeurons();
Agent agent = CreateNewAgent(hiddenNeurons, agentType);
string agentBrain = fromAgent.GetBrainAsBits();
agent.InsertNewBrainAsBits(agentBrain);
agents.Add(agent);
}
public Agent GenerateAgent(SpecieType agentType, bool isCrossoverAgent, List <Agent> agents)
{
Agent agent;
if (isCrossoverAgent)
{
if (agents.Count(a => a.Type == agentType) <= 1)
{
GenerateAgent(agentType, false, agents);
return(null);
}
Agent parent0 = GetRandomRoulleteAgentFromList(agents, agentType);
Agent parent1 = GetRandomRoulleteAgentFromList(agents.Except(new List <Agent> {
parent0
}).ToList(), agentType);
string brainOfParent0 = parent0.GetBrainAsBits();
string brainOfParent1 = parent1.GetBrainAsBits();
string smaller = brainOfParent0.Length < brainOfParent1.Length ? brainOfParent0 : brainOfParent1;
string bigger = brainOfParent0.Length > brainOfParent1.Length ? brainOfParent0 : brainOfParent1;
int hiddenNeurons;
if (ApplicationSettings.Random.Next() % 2 == 0)
{//append it
smaller = smaller + bigger.Substring(smaller.Length);
hiddenNeurons = brainOfParent0.Length > brainOfParent1.Length ? parent0.GetHiddenNeurons() : parent1.GetHiddenNeurons();
}
else
{//cut it
bigger = bigger.Substring(0, smaller.Length);
hiddenNeurons = brainOfParent0.Length < brainOfParent1.Length ? parent0.GetHiddenNeurons() : parent1.GetHiddenNeurons();
}
brainOfParent0 = smaller;
brainOfParent1 = bigger;
string networkAsBits = _geneticEvolution.Reproduce(brainOfParent0, brainOfParent1);
//hiddenNeurons += ApplicationSettings.Random.Next() % 100 < 10 ? 1 : 0;//Chance to mutate an extra hidden neuron
//hiddenNeurons += ApplicationSettings.Random.Next() % 100 < 10 ? -1 : 0;//Chance to mutate and lose a hidden neuron
agent = CreateNewAgent(hiddenNeurons, agentType);
agent.InsertNewBrainAsBits(networkAsBits);
}
else
{
agent = CreateNewAgent(ApplicationSettings.HiddenNeurons, agentType);
}
return(agent);
}
public void GenerateAgent(SpecieType agentType, bool isCrossoverAgent)
{
Agent agent;
if (isCrossoverAgent)
{
if (agents.Count(a => a.Type == agentType) <= 1)
{
GenerateAgent(agentType, false);
return;
}
int indexParent0 = _geneticEvolution.Roulette(agents.Where(a => a.Type == agentType)
.Select(a => a.GetFitness(ApplicationSettings.ScoreForEatingGoodFood, ApplicationSettings.ScoreForEatingBadFood, ApplicationSettings.ScoreForExisting)).ToArray());
int indexParent1 = _geneticEvolution.Roulette(agents.Where(a => a.Type == agentType)
.Select(a => a.GetFitness(ApplicationSettings.ScoreForEatingGoodFood, ApplicationSettings.ScoreForEatingBadFood, ApplicationSettings.ScoreForExisting)).ToArray());
string brainOfAgent0 = agents[indexParent0].GetBrainAsBits();
string brainOfAgent1 = agents[indexParent1].GetBrainAsBits();
string smaller = brainOfAgent0.Length > brainOfAgent1.Length ? brainOfAgent0 : brainOfAgent1;
string bigger = brainOfAgent0.Length < brainOfAgent1.Length ? brainOfAgent0 : brainOfAgent1;
int hiddenNeurons;
if (ApplicationSettings.Random.Next() % 2 == 0)
{//append it
smaller = smaller + bigger.Substring(smaller.Length);
hiddenNeurons = brainOfAgent0.Length > brainOfAgent1.Length ? agents[indexParent0].GetHiddenNeurons() : agents[indexParent1].GetHiddenNeurons();
}
else
{//cut it
bigger = bigger.Substring(0, smaller.Length);
hiddenNeurons = brainOfAgent0.Length < brainOfAgent1.Length ? agents[indexParent0].GetHiddenNeurons() : agents[indexParent1].GetHiddenNeurons();
}
brainOfAgent0 = smaller;
brainOfAgent1 = bigger;
string networkAsBits = _geneticEvolution.Reproduce(brainOfAgent0, brainOfAgent1);
agent = new Agent(new Vector2(ApplicationSettings.Random.Next() % ApplicationSettings.SpawningSpace.Width, ApplicationSettings.Random.Next() % ApplicationSettings.SpawningSpace.Height),
numberOfEyes, hiddenNeurons, agentType, _agentsColor[(int)agentType], agentType == SpecieType.Herbivore ? typeOneEats : typeTwoEats, ApplicationSettings.Random, ApplicationSettings.AgentSettings);
agent.InsertNewBrainAsBits(networkAsBits);
}
else
{
agent = new Agent(new Vector2(ApplicationSettings.Random.Next() % ApplicationSettings.SpawningSpace.Width, ApplicationSettings.Random.Next() % ApplicationSettings.SpawningSpace.Height),
numberOfEyes, 5, agentType, _agentsColor[(int)agentType], agentType == SpecieType.Herbivore ? typeOneEats : typeTwoEats, ApplicationSettings.Random, ApplicationSettings.AgentSettings);
}
agents.Add(agent);
}
public Agent(Vector2 position, int eyesCount, int hiddenNeurons, SpecieType agentType, Color color, List <SpecieType> eatsOtherSpecies, Random rand, AgentSettings agentSettings = AgentSettings.None)
{
_maxEnergy = 100;
Energy = 100;
Position = position;
Radius = 10;
_energyDecay = 0.35;
Color = color;
_eyesCount = eyesCount;
_eyeSees = new BasePopulation[_eyesCount];
_eyeLength = 20;
_eyesRadius = Math.PI / 2;
_distanceBetweenEyes = _eyesRadius / _eyesCount;
_rotationSpeed = 0.2f;
_thrustSpeed = 3;
_network = new Network();
_network.InitializeNetwork(_eyesCount * 2 + 1, hiddenNeurons, 1, 0.3f, rand);
//_network.InitializeNetwork(_eyesCount + 1, hiddenNeurons, 1, 0.3f, rand);
Type = agentType;
EatsOtherSpecies = eatsOtherSpecies;
_agentSettings = agentSettings;
}
Agent CreateNewAgent(int hiddenNeurons, SpecieType agentType)
{
return(new Agent(new Vector2(ApplicationSettings.Random.Next() % ApplicationSettings.SpawningSpace.Width, ApplicationSettings.Random.Next() % ApplicationSettings.SpawningSpace.Height),
ApplicationSettings.NumberOfEyes, hiddenNeurons, agentType, _agentsColor[(int)agentType], agentType == SpecieType.Herbivore ? typeOneEats : typeTwoEats, ApplicationSettings.Random, ApplicationSettings.AgentSettings));
}
