public static WriteData Basic(SimParams par, bool repAll = true, bool matchAll = true,
bool ageAll = true, bool lrnThrshAll = true, bool accAll = true, bool chanForAll = true,
bool chanInvAll = true)
{
Population Pop = new Population(par);
WriteData SimData = new WriteData();
SimData.Write(par, Pop, repAll, matchAll, ageAll,
lrnThrshAll, accAll, chanForAll, chanInvAll);
//Simulation and saving data
for (int i = 0; i < par.NumSim; i++)
{
Pop = BirthDeathCycle.Step(par, Pop);
SimData.Write(par, Pop, repAll, matchAll, ageAll,
lrnThrshAll, accAll, chanForAll, chanInvAll);
}
return(SimData);
}
public static InvasionData Invasion(SimParams par, string type, float invaderStat, int numInvaders = 1, int burnIn = 500)
{
CheckStatValue(par, type, invaderStat);
Population Pop = new Population(par);
//Get to Equilibrium
for (int i = 0; i < burnIn; i++)
{
Pop = BirthDeathCycle.Step(par, Pop);
}
//Invade
int[] InvaderIndex = par.RandomSampleEqualNoReplace(Enumerable.Range(0, par.NumBirds).ToList(), numInvaders);
for (int i = 0; i < numInvaders; i++)
{
CreateInvader(Pop, type, InvaderIndex[i], invaderStat);
//Pop.Age[InvaderIndex[i]] = 1;
//Pop.LearningThreshold[InvaderIndex[i]] = invaderStat;
}
//Postinvasion run
int Counter = 1;
int Categories = 2;
while (Categories != 1)
{
Counter += 1;
Pop = BirthDeathCycle.Step(par, Pop);
if (Counter == 400)
{
break;
}
else
{
Categories = CountCategories(Pop, type);//Pop.LearningThreshold.Distinct().Count();
}
}
InvasionData Results = new InvasionData(Counter, GetAverage(Pop, type));//Pop.LearningThreshold.Average());
return(Results);
}
