public void AI()
{
set_user("CPU1", "CPU2");
int samplesize = 500; //how many games , half is black
int cycles = 10; //repeat slaughterhouse x times
int students = 20; //number of students slaughtered
int maxchange = 25; //max change per cycle in percent
double maxchange_changefactor = Math.Pow((5 / maxchange), (1 / cycles)); //calculate facotr: maxchange reaches only 5% after n cycles
List <double[]> weights = new List <double[]>();
double[] Parent =
{
50, // Wert eigener Stein
100, // Wert eigene Dame
-20, // Wert gegnerischer Stein
-80, // Wert gegnerische Dame
-2, // Distance Faktor Dame-Stein
-40, // Bewertung gegnerischer Sprunganzahl
5, // Zug der einen eigenen Sprung ermöglicht
+10 // für jeden Stein der in der Königsreihe verweilt
}; //stats of the winner (starts at our stats)
double[] Winner = new double[8];
int highest_winrate;
int winrate;
for (int i = 0; i < cycles; i++)
{
//Maxchange in each Generation lowerd
maxchange = (int)(maxchange * maxchange_changefactor);
//BUILDER BOT
weights.Clear();
//set weights
for (int j = 0; j < students; j++)
{
double[] weight = new double[8];
Parent.CopyTo(weight, 0);
weights.Add(weight);
}
//modify weights at random
for (int k = 1; k < weights.Count; k++)
{
double[] weight = weights[k];
//keep last round's winner as a contestend
for (int j = 0; j < weight.Length; j++)
{
weight[j] = weight[j] * (1 + ((double)(Zufall.Next(2 * maxchange + 1) - maxchange) / 100));
}
}
//TEACHER BOT
highest_winrate = -10000;
for (int j = 0; j < students; j++)
{
Player[0].cpu.set_weights(weights[j]);
Player[1].cpu.set_weights(Parent);
Tuple <int, int> results1 = test(samplesize / 2);
//repeat for inverted colors
Player[0].cpu.set_weights(Parent);
Player[1].cpu.set_weights(weights[j]);
Tuple <int, int> results2 = test(samplesize / 2);
//check if black is current best
winrate = results2.Item2 + results1.Item1;
if (winrate > highest_winrate)
{
highest_winrate = winrate; Winner = weights[j];
}
}
Winner.CopyTo(Parent, 0);
string output = Winner[0] +
"\n" + Winner[1] +
"\n" + Winner[2] +
"\n" + Winner[3] +
"\n" + Winner[4] +
"\n" + Winner[5] +
"\n" + Winner[6] +
"\n" + Winner[7];
//gibt aktuell beste weights aus
drawing.labelWeights(output);
//Zeichnet Fortschritt in Prozent auf Label
drawing.labelStatus(((100 * (i + 1)) / cycles + "%").ToString());
}
}
