private bool KingAI(PictureBox[][] board, int y, int x, bool turn, int movesCount, int movesLimit, int currentBoardState, AIResult finalResult)
{
// loop through all directions king can move by one square
for (int i = -1; i <= 1; i++)
{
for (int j = -1; j <= 1; j++)
{
int Y = y + i;
int X = x + j;
if ((i == 0 && j == 0) || Y < 0 || Y > 7 || X < 0 || X > 7)
{
continue;
}
PictureBox[][] newBoard = new PictureBox[8][];
if (board[Y][X] == null) // if king moves to empty square
{
setNewBoard(board, newBoard, y, x, Y, X);
if (IsValidMove(newBoard, turn))
{
continue;
}
AI newAI = new AI(movesCount + 1);
int bestBoardState = newAI.MiniMax(newBoard, !turn, movesLimit, currentBoardState, finalResult);
if (movesCount == 0)
{
CapturedSquares capture = new CapturedSquares();
setResult(turn, bestBoardState, y, x, Y, X, capture.CaptureCount(newBoard));
}
else
{
setResult(turn, bestBoardState, y, x, Y, X, 0);
}
continue;
}
int value = PieceValue(PieceDetails.selectedPiece(board[Y][X].Name));
bool pieceColor = PieceDetails.IsPieceBlackorWhite(board[Y][X].Name);
if (turn && !pieceColor) // white king eats black piece
{
if (value == kingvalue) // if king is eatten prune this path completely
{
return(true);
}
if (bestPath <= currentBoardState + value) // prune path that are smaller than the current board state
{
setNewBoard(board, newBoard, y, x, Y, X);
if (IsValidMove(newBoard, turn))
{
continue;
}
bestPath = currentBoardState + value;
AI newAI = new AI(movesCount + 1);
int bestBoardState = newAI.MiniMax(newBoard, !turn, movesLimit, currentBoardState + value, finalResult);
if (movesCount == 0)
{
CapturedSquares capture = new CapturedSquares();
setResult(turn, bestBoardState, y, x, Y, X, capture.CaptureCount(newBoard));
}
else
{
setResult(turn, bestBoardState, y, x, Y, X, 0);
}
}
}
else if (!turn && pieceColor) // black king eats white piece
{
if (value == kingvalue)
{
return(true);
}
if (bestPath >= currentBoardState - value) // prune path that are larger than the current board state
{
setNewBoard(board, newBoard, y, x, Y, X);
if (IsValidMove(newBoard, turn))
{
continue;
}
bestPath = currentBoardState - value;
AI newAI = new AI(movesCount + 1);
int bestBoardState = newAI.MiniMax(newBoard, !turn, movesLimit, currentBoardState - value, finalResult);
if (movesCount == 0)
{
CapturedSquares capture = new CapturedSquares();
setResult(turn, bestBoardState, y, x, Y, X, capture.CaptureCount(newBoard));
}
else
{
setResult(turn, bestBoardState, y, x, Y, X, 0);
}
}
}
}
}
return(false);
}
private bool KnightAI(PictureBox[][] board, int y, int x, bool turn, int movesCount, int movesLimit, int currentBoardState, AIResult finalResult)
{
foreach (int[] dir in PieceDetails.KnightDirection)
{
int Y = y + dir[0];
int X = x + dir[1];
if (Y < 0 || Y > 7 || X < 0 || X > 7)
{
continue;
}
PictureBox[][] newBoard = new PictureBox[8][];
if (board[Y][X] == null) // knight moving to empty square
{
setNewBoard(board, newBoard, y, x, Y, X); // create new board object to be used as parameter to call minimax function
if (IsValidMove(newBoard, turn))
{
continue;
}
AI newAI = new AI(movesCount + 1);
int bestBoardState = newAI.MiniMax(newBoard, !turn, movesLimit, currentBoardState, finalResult);
if (movesCount == 0)
{
CapturedSquares capture = new CapturedSquares();
setResult(turn, bestBoardState, y, x, Y, X, capture.CaptureCount(newBoard));
}
else
{
setResult(turn, bestBoardState, y, x, Y, X, 0);
}
continue;
}
int value = PieceValue(PieceDetails.selectedPiece(board[Y][X].Name));
bool pieceColor = PieceDetails.IsPieceBlackorWhite(board[Y][X].Name);
if (turn && !pieceColor) // white knight eatting black piece
{
setNewBoard(board, newBoard, y, x, Y, X);
if (value == kingvalue) // if king is eatten prune this path completely
{
return(true);
}
if (bestPath <= currentBoardState + value) // prune path that are smaller than the current board state
{
if (IsValidMove(newBoard, turn))
{
continue;
}
bestPath = currentBoardState + value;
AI newAI = new AI(movesCount + 1);
int bestBoardState = newAI.MiniMax(newBoard, !turn, movesLimit, currentBoardState + value, finalResult);
if (movesCount == 0)
{
CapturedSquares capture = new CapturedSquares();
setResult(turn, bestBoardState, y, x, Y, X, capture.CaptureCount(newBoard));
}
else
{
setResult(turn, bestBoardState, y, x, Y, X, 0);
}
}
}
else if (!turn && pieceColor) // black knight eatting white piece
{
setNewBoard(board, newBoard, y, x, Y, X);
if (value == kingvalue)
{
return(true);
}
if (bestPath >= currentBoardState - value) // prune path that are larger than the current board state
{
if (IsValidMove(newBoard, turn))
{
continue;
}
bestPath = currentBoardState - value;
AI newAI = new AI(movesCount + 1);
int bestBoardState = newAI.MiniMax(newBoard, !turn, movesLimit, currentBoardState - value, finalResult);
if (movesCount == 0)
{
CapturedSquares capture = new CapturedSquares();
setResult(turn, bestBoardState, y, x, Y, X, capture.CaptureCount(newBoard));
}
else
{
setResult(turn, bestBoardState, y, x, Y, X, 0);
}
}
}
}
return(false);
}
private bool QueenAI(PictureBox[][] board, int y, int x, bool turn, int movesCount, int movesLimit, int currentBoardState, AIResult finalResult)
{
bool[] pieceDirection = new bool[8]; // this array represents north, east, south, west, northeast, southeast, southwest, northwest and will reduce the processing time
for (int i = 1; i < 8; i++) // represents the distance to be moved
{
// queen cannot move anymore as it is either out of bound or there is another piece blocking it from its target
if (PieceDetails.checkedAllDirections(pieceDirection))
{
break;
}
for (int j = 0; j < PieceDetails.QueenDirection.Length; j++) // represents the array to define the direction of the move
{
if (pieceDirection[j])
{
continue;
}
int Y = y + i * PieceDetails.QueenDirection[j][0];
int X = x + i * PieceDetails.QueenDirection[j][1];
if (Y >= 0 && Y < 8 && X >= 0 && X < 8)
{
PictureBox[][] newBoard = new PictureBox[8][];
if (board[Y][X] == null) // if queen moves to an empty square
{
setNewBoard(board, newBoard, y, x, Y, X); // create new board object to be used as parameter to call minimax function
if (IsValidMove(newBoard, turn))
{
continue;
}
AI newAI = new AI(movesCount + 1);
int bestBoardState = newAI.MiniMax(newBoard, !turn, movesLimit, currentBoardState, finalResult);
if (movesCount == 0)
{
CapturedSquares capture = new CapturedSquares();
setResult(turn, bestBoardState, y, x, Y, X, capture.CaptureCount(newBoard));
}
else
{
setResult(turn, bestBoardState, y, x, Y, X, 0);
}
}
else
{
bool pieceColor = PieceDetails.IsPieceBlackorWhite(board[Y][X].Name);
int value = PieceValue(PieceDetails.selectedPiece(board[Y][X].Name));
if (turn && !pieceColor) // if white queen eats a black piece
{
if (value == kingvalue) // if king is eatten prune this path completely
{
return(true);
}
if (bestPath <= currentBoardState + value) // prune path that are smaller than the current board state
{
setNewBoard(board, newBoard, y, x, Y, X);
if (IsValidMove(newBoard, turn))
{
pieceDirection[j] = true;
continue;
}
bestPath = currentBoardState + value;
AI newAI = new AI(movesCount + 1);
int bestBoardState = newAI.MiniMax(newBoard, !turn, movesLimit, currentBoardState + value, finalResult);
if (movesCount == 0)
{
CapturedSquares capture = new CapturedSquares();
setResult(turn, bestBoardState, y, x, Y, X, capture.CaptureCount(newBoard));
}
else
{
setResult(turn, bestBoardState, y, x, Y, X, 0);
}
}
pieceDirection[j] = true;
}
else if (!turn && pieceColor) // if black queen eats a white piece
{
if (value == kingvalue)
{
return(true);
}
if (bestPath >= currentBoardState - value) // prune path that are larger than the current board state
{
setNewBoard(board, newBoard, y, x, Y, X);
if (IsValidMove(newBoard, turn))
{
pieceDirection[j] = true;
continue;
}
bestPath = currentBoardState - value;
AI newAI = new AI(movesCount + 1);
int bestBoardState = newAI.MiniMax(newBoard, !turn, movesLimit, currentBoardState - value, finalResult);
if (movesCount == 0)
{
CapturedSquares capture = new CapturedSquares();
setResult(turn, bestBoardState, y, x, Y, X, capture.CaptureCount(newBoard));
}
else
{
setResult(turn, bestBoardState, y, x, Y, X, 0);
}
}
pieceDirection[j] = true;
}
else
{
pieceDirection[j] = true; // if bishop lands on the its same color piece
}
}
}
else
{
pieceDirection[j] = true; // if bishop lands out of bounds
}
}
}
return(false);
}
private bool PawnAI(PictureBox[][] board, int y, int x, bool turn, int movesCount, int movesLimit, int currentBoardState, AIResult finalResult)
{
if (turn) // white pawn move
{
if (y - 1 >= 0)
{
if (board[y - 1][x] == null) // white pawn moving 1 square north to empty square
{
PictureBox[][] newBoard = new PictureBox[8][];
setNewBoard(board, newBoard, y, x, y - 1, x); // create new board object to be used as parameter to call minimax function
if (!IsValidMove(newBoard, turn))
{
AI newAI = new AI(movesCount + 1);
int bestBoardState = newAI.MiniMax(newBoard, !turn, movesLimit, currentBoardState, finalResult); // find best path
if (movesCount == 0)
{
CapturedSquares capture = new CapturedSquares();
setResult(turn, bestBoardState, y, x, y - 1, x, capture.CaptureCount(newBoard));
}
else
{
setResult(turn, bestBoardState, y, x, y - 1, x, 0);
}
}
}
if (x - 1 >= 0 && board[y - 1][x - 1] != null && !PieceDetails.IsPieceBlackorWhite(board[y - 1][x - 1].Name)) // white pawn eat black piece at north-west
{
int value = PieceValue(PieceDetails.selectedBlackPiece(board[y - 1][x - 1].Name));
if (value == kingvalue) // if king is eatten prune this path completely
{
return(true);
}
if (bestPath <= currentBoardState + value) // prune path that are smaller than the current board state
{
PictureBox[][] newBoard = new PictureBox[8][];
setNewBoard(board, newBoard, y, x, y - 1, x - 1);
if (!IsValidMove(newBoard, turn))
{
bestPath = currentBoardState + value;
AI newAI = new AI(movesCount + 1);
int bestBoardState = newAI.MiniMax(newBoard, !turn, movesLimit, currentBoardState + value, finalResult);
if (movesCount == 0)
{
CapturedSquares capture = new CapturedSquares();
setResult(turn, bestBoardState, y, x, y - 1, x - 1, capture.CaptureCount(newBoard));
}
else
{
setResult(turn, bestBoardState, y, x, y - 1, x - 1, 0);
}
}
}
}
if (x + 1 < 8 && board[y - 1][x + 1] != null && !PieceDetails.IsPieceBlackorWhite(board[y - 1][x + 1].Name)) // white pawn eat black piece at north-east
{
int value = PieceValue(PieceDetails.selectedBlackPiece(board[y - 1][x + 1].Name));
if (value == kingvalue)
{
return(true);
}
if (bestPath <= currentBoardState + value)
{
PictureBox[][] newBoard = new PictureBox[8][];
setNewBoard(board, newBoard, y, x, y - 1, x + 1);
if (!IsValidMove(newBoard, turn))
{
bestPath = currentBoardState + value;
AI newAI = new AI(movesCount + 1);
int bestBoardState = newAI.MiniMax(newBoard, !turn, movesLimit, currentBoardState + value, finalResult);
if (movesCount == 0)
{
CapturedSquares capture = new CapturedSquares();
setResult(turn, bestBoardState, y, x, y - 1, x + 1, capture.CaptureCount(newBoard));
}
else
{
setResult(turn, bestBoardState, y, x, y - 1, x + 1, 0);
}
}
}
}
}
if (y - 2 >= 0 && y == 6 && board[y - 1][x] == null && board[y - 2][x] == null) // white pawn moves 2 squares north to empty square
{
PictureBox[][] newBoard = new PictureBox[8][];
setNewBoard(board, newBoard, y, x, y - 2, x);
if (!IsValidMove(newBoard, turn))
{
AI newAI = new AI(movesCount + 1);
int bestBoardState = newAI.MiniMax(newBoard, !turn, movesLimit, currentBoardState, finalResult);
if (movesCount == 0)
{
CapturedSquares capture = new CapturedSquares();
setResult(turn, bestBoardState, y, x, y - 2, x, capture.CaptureCount(newBoard));
}
else
{
setResult(turn, bestBoardState, y, x, y - 2, x, 0);
}
}
}
}
else // black pawn move
{
if (y + 1 < 8)
{
if (board[y + 1][x] == null) // black pawn moving 1 square south to empty square
{
PictureBox[][] newBoard = new PictureBox[8][];
setNewBoard(board, newBoard, y, x, y + 1, x); // create new board object to be used as parameter to call minimax function
if (!IsValidMove(newBoard, turn))
{
AI newAI = new AI(movesCount + 1);
int bestBoardState = newAI.MiniMax(newBoard, !turn, movesLimit, currentBoardState, finalResult);
if (movesCount == 0)
{
CapturedSquares capture = new CapturedSquares();
setResult(turn, bestBoardState, y, x, y + 1, x, capture.CaptureCount(newBoard));
}
else
{
setResult(turn, bestBoardState, y, x, y + 1, x, 0);
}
}
}
if (x - 1 >= 0 && board[y + 1][x - 1] != null && PieceDetails.IsPieceBlackorWhite(board[y + 1][x - 1].Name)) // black pawn eat white piece at south-west
{
int value = PieceValue(PieceDetails.selectedWhitePiece(board[y + 1][x - 1].Name));
if (value == kingvalue) // if king is eatten prune this path completely
{
return(true);
}
if (bestPath >= currentBoardState - value) // prune path that are larger than the current board state
{
PictureBox[][] newBoard = new PictureBox[8][];
setNewBoard(board, newBoard, y, x, y + 1, x - 1);
if (!IsValidMove(newBoard, turn))
{
bestPath = currentBoardState - value;
AI newAI = new AI(movesCount + 1);
int bestBoardState = newAI.MiniMax(newBoard, !turn, movesLimit, currentBoardState - value, finalResult);
if (movesCount == 0)
{
CapturedSquares capture = new CapturedSquares();
setResult(turn, bestBoardState, y, x, y + 1, x - 1, capture.CaptureCount(newBoard));
}
else
{
setResult(turn, bestBoardState, y, x, y + 1, x - 1, 0);
}
}
}
}
if (x + 1 < 8 && board[y + 1][x + 1] != null && PieceDetails.IsPieceBlackorWhite(board[y + 1][x + 1].Name)) // black pawn eat white piece at south-east
{
int value = PieceValue(PieceDetails.selectedWhitePiece(board[y + 1][x + 1].Name));
if (value == kingvalue)
{
return(true);
}
if (bestPath >= currentBoardState - value)
{
PictureBox[][] newBoard = new PictureBox[8][];
setNewBoard(board, newBoard, y, x, y + 1, x + 1);
if (!IsValidMove(newBoard, turn))
{
bestPath = currentBoardState - value;
AI newAI = new AI(movesCount + 1);
int bestBoardState = newAI.MiniMax(newBoard, !turn, movesLimit, currentBoardState - value, finalResult);
if (movesCount == 0)
{
CapturedSquares capture = new CapturedSquares();
setResult(turn, bestBoardState, y, x, y + 1, x + 1, capture.CaptureCount(newBoard));
}
else
{
setResult(turn, bestBoardState, y, x, y + 1, x + 1, 0);
}
}
}
}
}
if (y + 2 < 8 && y == 1 && board[y + 1][x] == null && board[y + 2][x] == null) // white pawn moves 2 squares south to empty square
{
PictureBox[][] newBoard = new PictureBox[8][];
setNewBoard(board, newBoard, y, x, y + 2, x);
if (!IsValidMove(newBoard, turn))
{
AI newAI = new AI(movesCount + 1);
int bestBoardState = newAI.MiniMax(newBoard, !turn, movesLimit, currentBoardState, finalResult);
if (movesCount == 0)
{
CapturedSquares capture = new CapturedSquares();
setResult(turn, bestBoardState, y, x, y + 2, x, capture.CaptureCount(newBoard));
}
else
{
setResult(turn, bestBoardState, y, x, y + 2, x, 0);
}
}
}
}
return(false);
}
