public string utterWord(Agent speaker)
{
Dictionary <string, double> vocabulary = speaker.getVocabulary().getVocabulary();
if (EALoop.RandomInt(0, 100) <= 40)
{
return(newWord());
}
if (vocabulary.Count == 0)
{
return(newWord());
}
double sum = 0;
var sortedDict = from entry in vocabulary orderby entry.Value descending select entry;
foreach (var i in sortedDict)
{
sum += i.Value;
}
double rnd = EALoop.RandomDouble();
double prob = 0;
foreach (var i in sortedDict)
{
prob += i.Value / sum;
if (rnd <= prob)
{
return(i.Key);
}
}
return(vocabulary.ElementAt(EALoop.RandomInt(0, vocabulary.Count)).Key);
}
public Genome()
{
genomeNormalised = new List <double>();
genomeValues = new List <double>();
for (int i = 0; i < 10; i++)
{
genomeValues.Add(0.0);
}
int n = 20;
genomeValues[0] = EALoop.RandomInt(0, 100); // Random value
genomeValues[1] = (genomeValues[0] * (1 + (System.Convert.ToDouble(EALoop.RandomInt(0, n)) / 100))); // Close to value #0
genomeValues[5] = (100 - genomeValues[0]) * (1 + (System.Convert.ToDouble(EALoop.RandomInt(0, n)) / 100)); // Opposite of #0
genomeValues[6] = genomeValues[5] * (1 + (System.Convert.ToDouble(EALoop.RandomInt(0, n)) / 100)); // Close to value #5
genomeValues[7] = genomeValues[6] * (1 + (System.Convert.ToDouble(EALoop.RandomInt(0, n)) / 100)); // Close to value #6
genomeValues[3] = EALoop.RandomInt(0, 100); // Random value
genomeValues[4] = genomeValues[3] * (1 + (System.Convert.ToDouble(EALoop.RandomInt(0, n)) / 100)); // Close to value #3
genomeValues[8] = (100 - genomeValues[4]) * (1 + (System.Convert.ToDouble(EALoop.RandomInt(0, n)) / 100)); // Opposite of #4
genomeValues[9] = genomeValues[8] * (1 + (System.Convert.ToDouble(EALoop.RandomInt(0, n)) / 100)); // Close to value 8
genomeValues[2] = ((genomeValues[1] + genomeValues[3]) / 2) * (1 + (System.Convert.ToDouble(EALoop.RandomInt(0, n / 2)) / 100)); // Close to #3 and #1
//-- Normalise genome --//
genomeNormalised = normalise(genomeValues);
}
public void mutate(double p)
{
if (EALoop.RandomDouble() <= p)
{
//double mutateRate = (EALoop.RandomInt(0,4) - 2) / 10; // Blir et tall mellom -0.2 og 0.2
//if (mutateRate == 0.0) { mutateRate = 1.01; }
//int index = EALoop.RandomInt(0,genomeValues.Count);
genomeValues[EALoop.RandomInt(0, genomeValues.Count)] = EALoop.RandomInt(0, 100);
genomeNormalised = normalise(genomeValues);
}
}
private string newWord()
{
int length = EALoop.RandomInt(1, 5);
string word = "";
for (int i = 0; i < length; i++)
{
int n = EALoop.RandomInt(0, 26);
word += newLetter(n);
}
return(word);
}
public Agent selectSpeaker(List <Agent> pop)
{
double sum = 0;
foreach (Agent a in pop)
{
sum += a.getFitness();
}
double rnd = EALoop.RandomDouble();
double n = 0;
foreach (Agent a in pop)
{
n += a.getFitness() / sum;
if (rnd <= n)
{
return(a);
}
}
return(pop[EALoop.RandomInt(0, pop.Count)]);
}
public List <Agent> makeChildren(List <Agent> population, SocialNetwork socialNetwork)
{
EALoop ea = new EALoop();
List <Agent> Children = new List <Agent>();
List <Thread> ts = new List <Thread>();
//Console.WriteLine("making " + (populationSize - n )+ " children.");
for (int i = population.Count; i < populationSize; i++)
{
Thread t = new Thread(new ThreadStart(() => Children.AddRange(ea.breed(population, socialNetwork))));
t.Name = String.Format("t{0}", i + 1);
t.Start();
ts.Add(t);
}
foreach (var t in ts)
{
t.Join();
}
//Console.WriteLine("Number of children: " + Children.Count);
return(Children);
}
public Agent selectListener(Agent agent, SocialNetwork net, List <Agent> population)
{
var genome = agent.getGenome().getValuesGenome();
double P_extrovert = ((genome[3] + (100 - genome[6]) / 200) * C) / 100;
Dictionary <Agent, double> connections = net.getAgentsConnections(agent);
//if ((EALoop.RandomDouble() <= P_extrovert && agent.getZ() < maxExtroConv) || net.getAgentsConnections(agent) == null)
if (EALoop.RandomDouble() <= P_extrovert)
{
// Extrovert
//System.Console.WriteLine("EXTROVERT");
Agent listener = population[EALoop.RandomInt(0, population.Count)];
while (listener == agent)
{
listener = population[EALoop.RandomInt(0, population.Count)];
}
agent.incrementZ();
return(listener);
}
// Introvert
double sum = 0;
foreach (var friend in connections)
{
sum += friend.Value;
}
double random = EALoop.RandomDouble();
double to = 0;
foreach (var friend in connections)
{
to += friend.Value / sum;
if (random <= to)
{
return(friend.Key);
}
}
return(null);
}
static void Main(string[] args)
{
EALoop ea = new EALoop();
Console.WriteLine("STARTING");
SocialNetwork socialNetwork = new SocialNetwork();
DataCollector data = new DataCollector();
List <Agent> population = new List <Agent>();
Dialogue dialogue = new Dialogue();
int generations = 1;
for (int i = 0; i < populationSize; i++)
{
population.Add(new Agent(ea.AgentIdCounter));
ea.AgentIdCounter++;
}
List <Agent> speakerPool = new List <Agent>();
foreach (Agent a in population)
{
if (socialNetwork.getAgentsConnections(a) != null)
{
speakerPool.Add(a);
}
}
Console.WriteLine("Speaker pool: " + speakerPool.Count);
ea.dialogueThreads(socialNetwork, speakerPool, population);
ea.fitnessOfPopulation(population, socialNetwork);
population = ea.survivalSelection(population, socialNetwork);
data.addDiscreteGraph(population, socialNetwork, generations);
data.addFitnessData(population);
data.setDialogues(population);
ea.addFitnessDegreeData(population, socialNetwork, data);
data.setUniqueWords(population);
ea.updateAges(population);
while (generations < Totalgenerations)
{
generations++;
Console.WriteLine("\nGeneration number: " + generations);
//Console.WriteLine("Nodes in the socialnetwork: " + socialNetwork.socialNetwork.Count);
//-- MAKE CHILDREN --//
//Console.WriteLine("Size of population before children is made: " + population.Count);
population.AddRange(ea.makeChildren(population, socialNetwork));
//Console.WriteLine("Size of population after children was made: " + population.Count);
//-- PERFORM DIALOGUES --//
//Console.WriteLine("socialnetwork count "+socialNetwork.socialNetwork.Count);
speakerPool = new List <Agent>();
for (int q = 0; q < population.Count; q++)
{
//Console.WriteLine("index: " + q);
if (population[q] == null)
{
population.RemoveAt(q);
}
else if (socialNetwork.getAgentsConnections(population[q]) != null && socialNetwork.getAgentsConnections(population[q]).Count > 0)
{
speakerPool.Add(population[q]);
}
}
Console.WriteLine("Speaker pool: " + speakerPool.Count);
ea.dialogueThreads(socialNetwork, speakerPool, population);
//ea.succcessfullDialogues = 0;
//Console.WriteLine("Dialogues performed");
//-- CALCULATE FITNESS --//
ea.fitnessOfPopulation(population, socialNetwork);
//-- SURVIVAL SELECTION --//
population = ea.survivalSelection(population, socialNetwork);
//-- DATA GATHERING --//
data.setDialogues(population);
data.setUniqueWords(population);
data.addFitnessData(population);
if (generations % 5 == 0)
{
data.addDiscreteGraph(population, socialNetwork, generations);
}
ea.addFitnessDegreeData(population, socialNetwork, data);
ea.updateAges(population);
//Console.WriteLine("Size of population after survival selection: " + population.Count);
}
Console.WriteLine("fitness data: " + data.getFitnessdata().Count + "\ndialogue data: " + data.getDialogues().Count + "\nUnique words data: " + data.getUniqueWords().Count);
data.writeToFiles();
data.addDiscreteGraph(population, socialNetwork, generations);
Console.Write("Press any button to end");
}
