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 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);
}
}
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 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);
}