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Bot.java
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Bot.java
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//https://gamedev.net/forums/topic/706443-othello-heuristic-method/5424386
//https://github.com/archilk/Othello
import java.util.*;
class Bot
{
int color;
int depth;
static int weights[][]={
{10, 2, 7, 7, 7, 7, 2, 10},
{2, -4, 1, 1, 1, 1, -4, 2},
{7, 1, 1, 1, 1, 1, 1, 7},
{7, 1, 1, 1, 1, 1, 1, 7},
{7, 1, 1, 1, 1, 1, 1, 7},
{7, 1, 1, 1, 1, 1, 1, 7},
{2, -4, 1, 1, 1, 1, -4, 2},
{10, 2, 7, 7, 7, 7, 2, 10}};
Bot(int c,int d)
{
color=c;
depth=d;
}
int think(Board board,ArrayList<Integer> moves)
{
Board mindBoard;
int i=0,l=moves.size();
int max=Integer.MIN_VALUE,val=0;
int finalMove=moves.get(0);
int alpha=Integer.MIN_VALUE,beta=Integer.MAX_VALUE;
for(;i<l;i++)
{
mindBoard=new Board(board);
try
{
mindBoard.move(color,moves.get(i)/8,moves.get(i)%8);
}
catch(Exception e)
{
System.out.println(e.getMessage());
}
val=mini(mindBoard,1,alpha,beta);
if(val>max)
{
max=val;
finalMove=moves.get(i);
}
if(max>=beta)
return finalMove;
alpha=alpha>max?alpha:max;
}
return finalMove;
}
int mini(Board board,int d,int alpha,int beta)
{
if(d==depth)
return heuristicValue(board);
Board mindBoard;
ArrayList<Integer> moves=board.findPossibleMoves(-color);
if(moves.size()==0)
return maxi(board,d+1,alpha,beta);
int i=0,l=moves.size();
int min=Integer.MAX_VALUE,val=0;
for(;i<l;i++)
{
mindBoard=new Board(board);
try
{
mindBoard.move(-color,moves.get(i)/8,moves.get(i)%8);
}
catch(Exception e)
{
System.out.println(e.getMessage());
}
val=maxi(mindBoard,d+1,alpha,beta);
if(val<min)
min=val;
if(min<=alpha)
return min;
beta=beta<min?beta:min;
}
return min;
}
int maxi(Board board,int d,int alpha,int beta)
{
if(d==depth)
return heuristicValue(board);
Board mindBoard;
ArrayList<Integer> moves=board.findPossibleMoves(color);
if(moves.size()==0)
return mini(board,d+1,alpha,beta);
int i=0,l=moves.size();
int max=Integer.MIN_VALUE,val=0;
for(;i<l;i++)
{
mindBoard=new Board(board);
try
{
mindBoard.move(color,moves.get(i)/8,moves.get(i)%8);
}
catch(Exception e)
{
System.out.println(e.getMessage());
}
val=mini(mindBoard,d+1,alpha,beta);
if(val>max)
max=val;
if(max>=beta)
return max;
alpha=alpha>max?alpha:max;
}
return max;
}
int heuristicValue(Board board)
{
return (5*mobilityHeuristic(board))+(25*coinParityHeuristic(board))+(50*stabilityHeuristic(board));
}
////Synonym für evaluate() =bewerten()
int stabilityHeuristic(Board board){ /*getHeuristic*/
int theHeuristic = 0;
for (int y = 0; y < 8; y++){
for (int x = 0; x < 8; x++) {
if (board.grid[x][y] == color)
theHeuristic += weights[y][x];
if (board.grid[x][y] == -color)
theHeuristic -= weights[y][x];
}
}
return theHeuristic;
}
int coinParityHeuristic(Board board)
{
int countMax=0,countMin=0;
int i=0,j=0;
for(;i<8;i++)
{
for(j=0;j<8;j++)
{
if(board.grid[i][j]==color)
countMax++;
else if(board.grid[i][j]==-color)
countMin++;
}
}
if(countMax+countMin!=0)
return 100*(countMax-countMin)/(countMax+countMin);
return 0;
}
int mobilityHeuristic(Board board)
{
ArrayList<Integer> max=board.findPossibleMoves(color);
ArrayList<Integer> min=board.findPossibleMoves(-color);
if(max.size()+min.size()!=0)
return 100*(max.size()-min.size())/(max.size()+min.size());
return 0;
}
}