static void AB()
{
Player A = new AlphaBeta(Color.White, 4);
Player B = new RandomPlayer(Color.Black);
Board board = new Board(A, B);
do
{
board.ExecuteTurn();
board.Print();
Console.Read();
} while (!board.MatchEnded());
board.PrintMatchResult();
Console.ReadLine();
}
static void Neuro()
{
NeuralNetwork A = new NeuralNetwork(Color.White, @"C:\Users\Amadeusz Chmielowski\source\repos\Chest\Chest\bin\Debug\netcoreapp2.0\activationNN.dat", true);
Player B = new RandomPlayer(Color.Black);
int[] results = new int[3];
for (ulong i = 0; ; i++)
{
Board board = new Board(A, B);
do
{
board.ExecuteTurn();
} while (!board.MatchEnded());
if (board.GameState == Win.White)
{
A.Fix();
}
else
{
A.Clear();
}
switch (board.GameState)
{
case Win.Black:
results[0]++;
break;
case Win.White:
results[1]++;
break;
case Win.Stalemate:
results[2]++;
break;
}
Console.Clear();
Console.WriteLine("Games: " + (i + 1));
Console.WriteLine("Black wins: " + results[0]);
Console.WriteLine("White wins: " + results[1]);
Console.WriteLine("Stalemates: " + results[2]);
Console.WriteLine("Decisions: " + A.myDecisions);
Console.WriteLine("Decisions per game: " + ((double)A.myDecisions / (double)(i + 1)));
}
}
