public void DisplayBoardValues(AIBoardData aiBoardData)
{
for (int i = 0; i < 32; i++)
{
string cellText = "";
if (aiBoardData.boardData[i].faceup)
{
cellText = "^";
}
else
{
cellText = "v";
}
if (aiBoardData.boardData[i].value == CellValue.King)
{
cellText += "K";
}
else
{
cellText += ((int)aiBoardData.boardData[i].value).ToString();
}
textCells[i].GetComponent <TextMeshProUGUI>().text = cellText;
}
textCells[32].GetComponent <TextMeshProUGUI>().text = aiBoardData.chanceNode.ToString();
textCells[33].GetComponent <TextMeshProUGUI>().text = aiBoardData.flipIndex.ToString();
textCells[34].GetComponent <TextMeshProUGUI>().text = aiBoardData.scoreOffset.ToString();
}
public void CalculateFaceDownProbability100Percent()
{
AISearch ai = new AISearch();
AIBoardData testBoard = CreateTestBoardFaceDownOnly1();
Assert.AreEqual(1, ai.ProbabilityOfPieceFlip(testBoard, Player.Red, CellValue.One));
}
public void EvaluatePosition2()
{
AISearch ai = new AISearch();
AIBoardData testBoard = CreateTestBoardFaceDown1();
Assert.AreEqual(1, ai.EvaluatePosition(testBoard));
}
public float ProbabilityOfPieceFlip(AIBoardData board, Player player, CellValue cellValue)
//calculate the probability of getting a certain piece while it is facedown
{
int value = (int)player * (int)cellValue;
float probability = 0;
int totalFaceDownPieces = 0;
int targetPieceCounter = 0;
for (int i = 0; i < board.boardData.Length; i++)
{
if (!board.boardData[i].faceup && board.boardData[i].value != 0)
{
totalFaceDownPieces++;
int currCellValue = (int)board.boardData[i].player * (int)board.boardData[i].value;
if (currCellValue == value)
{
targetPieceCounter++;
}
}
}
if (totalFaceDownPieces > 0)
{
probability = (float)targetPieceCounter / (float)totalFaceDownPieces;
}
return(probability);
}
public double EvaluatePosition(AIBoardData board)
{
double pieceScore = 0;
for (int i = 0; i < board.boardData.Length; i++)
{
pieceScore += (int)board.boardData[i].value * (int)board.boardData[i].player;
}
return(pieceScore + board.scoreOffset);
}
public double ExpectiMax(AIBoardData board, bool maximizingPlayer, int depth)
{
bool canFlip = true;
if (depth <= 0)
{
return(EvaluatePosition(board));
}
else if (maximizingPlayer)
{
double value = double.MinValue;
foreach (AIBoardData possibleBoard in GenerateMoves(board, Player.Red, canFlip))
{
if (possibleBoard.chanceNode)
{
}
else if (possibleBoard.gameWon)
{
value = (int)CellValue.King;
}
else
{
value = Math.Max(value, ExpectiMax(possibleBoard, false, depth - 1));
}
}
return(value);
}
else if (!maximizingPlayer)
{
double value = double.MaxValue;
foreach (AIBoardData possibleBoard in GenerateMoves(board, Player.Blue, canFlip))
{
if (possibleBoard.chanceNode)
{
}
//Stop calculating moves if there is game winning move
else if (possibleBoard.gameWon)
{
value = -(int)CellValue.King;
}
else
{
value = Math.Min(value, ExpectiMax(possibleBoard, true, depth - 1));
}
}
return(value);
}
else
{
return(0);
}
}
public IEnumerator FinishMove()
{
if (canMove())
{
AISearch ai = new AISearch();
AIBoardData testBoard = ScanBoard();
yield return(new WaitForSeconds(1));
AIBoardData bestBoard = ai.BestMove(testBoard, 4, 1);
MakeMove(testBoard, bestBoard);
}
}
public AIBoardData CreateTestBoard1()
{
//| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
//| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
//| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
//| 1r^ | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
AICellData[] boardData = new AICellData[32];
boardData[0] = new AICellData {
value = CellValue.One, player = Player.Red, faceup = true
};
AIBoardData board = new AIBoardData(boardData, false);
return(board);
}
public AIBoardData BestMove(AIBoardData board, int depth, int flipDepth)
//Check if there is any checkmate from all one move away positions from current board.
//Then calculate best move up to #depth of moves using ExpectiMax algorithm
{
List <AIBoardData> possibleBoards = new List <AIBoardData>();
possibleBoards = GenerateMoves(board, Player.Blue, true);
AIBoardData bestBoard = possibleBoards[0];
double bestScore = double.MaxValue;
for (int i = 0; i < possibleBoards.Count; i++)
{
if (possibleBoards[i].chanceNode)
{
double newScore = ExpectiMaxChanceNode(possibleBoards[i], true, depth - 1);
if (newScore < bestScore)
{
bestBoard = possibleBoards[i];
bestScore = newScore;
}
}
else if (!possibleBoards[i].gameWon)
{
if (possibleBoards[i].takePiece)
{
possibleBoards[i].scoreOffset -= 0.5;
}
double newScore = ExpectiMax(possibleBoards[i], true, depth - 1);
if (newScore < bestScore)
{
bestBoard = possibleBoards[i];
bestScore = newScore;
}
}
else
{
return(possibleBoards[i]);
}
}
Debug.Log(bestScore);
Debug.Log(bestBoard.gameWon);
return(bestBoard);
}
public AIBoardData GenerateFlipMove(AIBoardData board, Player color, CellValue value)
{
int index = board.flipIndex;
AIBoardData possibleBoard = new AIBoardData((AICellData[])board.boardData.Clone(), false);
possibleBoard.boardData[index].value = value;
possibleBoard.boardData[index].player = color;
possibleBoard.boardData[index].faceup = true;
possibleBoard.chanceNode = false;
possibleBoard.scoreOffset = board.scoreOffset;
possibleBoard.flipIndex = -1;
int scoreOffSet = (int)board.boardData[index].player * (int)board.boardData[index].value -
(int)possibleBoard.boardData[index].player * (int)possibleBoard.boardData[index].value;
possibleBoard.scoreOffset += scoreOffSet;
return(possibleBoard);
}
void MakeMove(AIBoardData startBoard, AIBoardData endBoard)
{
if (endBoard.chanceNode)
{
int x = endBoard.flipIndex % boardX;
int y = endBoard.flipIndex / boardX;
board.cells[x, y].FlipMove();
}
else
{
int moveFromX = endBoard.moveFromIndex % boardX;
int moveFromY = endBoard.moveFromIndex / boardX;
int moveToX = endBoard.moveToIndex % boardX;
int moveToY = endBoard.moveToIndex / boardX;
board.cells[moveFromX, moveFromY].MoveTo(board.cells[moveToX, moveToY]);
Debug.Log(moveFromX + " " + moveFromY + " to: " + moveToX + " " + moveToY);
}
}
public double ExpectiMaxChanceNode(AIBoardData board, bool maximizingPlayer, int depth)
{
double value;
List <double> averages = new List <double>();
double probability;
probability = ProbabilityOfPieceFlip(board, Player.Blue, CellValue.One);
averages.Add(probability * ExpectiMax(GenerateFlipMove(board, Player.Blue, CellValue.One), maximizingPlayer, depth - 1));
probability = ProbabilityOfPieceFlip(board, Player.Blue, CellValue.Two);
averages.Add(probability * ExpectiMax(GenerateFlipMove(board, Player.Blue, CellValue.Two), maximizingPlayer, depth - 1));
probability = ProbabilityOfPieceFlip(board, Player.Blue, CellValue.Three);
averages.Add(probability * ExpectiMax(GenerateFlipMove(board, Player.Blue, CellValue.Three), maximizingPlayer, depth - 1));
probability = ProbabilityOfPieceFlip(board, Player.Blue, CellValue.Four);
averages.Add(probability * ExpectiMax(GenerateFlipMove(board, Player.Blue, CellValue.Four), maximizingPlayer, depth - 1));
probability = ProbabilityOfPieceFlip(board, Player.Blue, CellValue.King);
averages.Add(probability * ExpectiMax(GenerateFlipMove(board, Player.Blue, CellValue.King), maximizingPlayer, depth - 1));
probability = ProbabilityOfPieceFlip(board, Player.Red, CellValue.One);
averages.Add(probability * ExpectiMax(GenerateFlipMove(board, Player.Red, CellValue.One), maximizingPlayer, depth - 1));
probability = ProbabilityOfPieceFlip(board, Player.Red, CellValue.Two);
averages.Add(probability * ExpectiMax(GenerateFlipMove(board, Player.Red, CellValue.Two), maximizingPlayer, depth - 1));
probability = ProbabilityOfPieceFlip(board, Player.Red, CellValue.Three);
averages.Add(probability * ExpectiMax(GenerateFlipMove(board, Player.Red, CellValue.Three), maximizingPlayer, depth - 1));
probability = ProbabilityOfPieceFlip(board, Player.Red, CellValue.Four);
averages.Add(probability * ExpectiMax(GenerateFlipMove(board, Player.Red, CellValue.Four), maximizingPlayer, depth - 1));
probability = ProbabilityOfPieceFlip(board, Player.Red, CellValue.King);
averages.Add(probability * ExpectiMax(GenerateFlipMove(board, Player.Red, CellValue.King), maximizingPlayer, depth - 1));
value = SumOfList(averages);
board.scoreOffset += Random.Range(-0.1f, 0.15f);
return(value);
}
public AIBoardData CreateTestBoardFaceDownOnly1()
{
//| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
//| 1r. | 1r. | 0 | 0 | 0 | 0 | 0 | 0 |
//| 1r. | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
//| 1r. | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
AICellData[] boardData = new AICellData[32];
boardData[0] = new AICellData {
value = CellValue.One, player = Player.Red, faceup = false
};
boardData[8] = new AICellData {
value = CellValue.One, player = Player.Red, faceup = false
};
boardData[16] = new AICellData {
value = CellValue.One, player = Player.Red, faceup = false
};
boardData[17] = new AICellData {
value = CellValue.One, player = Player.Red, faceup = false
};
AIBoardData board = new AIBoardData(boardData, false);
return(board);
}
public void TestScanBoard()
{
AIBoardData testBoard = CreateTestBoard1();
Assert.AreEqual(CellValue.One, testBoard.boardData[0].value);
}
public List <AIBoardData> GenerateMoves(AIBoardData board, Player player, bool canFlip)
//TO DO remove canflip if unused
{
AIBoardData curBoard = board;
List <AIBoardData> possibleBoards = new List <AIBoardData>();
for (int index = 0; index < curBoard.boardData.Length; index++)
{
//generate board with piece index to be flipped
if (!curBoard.boardData[index].faceup)
{
AIBoardData possibleBoard = new AIBoardData((AICellData[])curBoard.boardData.Clone(), true);
possibleBoard.flipIndex = index;
possibleBoard.chanceNode = true;
possibleBoard.boardData[index].faceup = false;
possibleBoards.Add(possibleBoard);
}
// horizontal and vertical piece movement
else
{
if (index + boardX < curBoard.boardData.Length && ValidMove(curBoard.boardData[index], curBoard.boardData[index + boardX], player))
{
//resolvemove top
possibleBoards.Add(ResolveMove(index, index + boardX));
}
if (index - boardX >= 0 && ValidMove(curBoard.boardData[index], curBoard.boardData[index - boardX], player))
{
//resolvemove btm
possibleBoards.Add(ResolveMove(index, index - boardX));
}
if (index + 1 < curBoard.boardData.Length && ValidMove(curBoard.boardData[index], curBoard.boardData[index + 1], player))
{
//resolvemove right
possibleBoards.Add(ResolveMove(index, index + 1));
}
if (index - 1 >= 0 && ValidMove(curBoard.boardData[index], curBoard.boardData[index - 1], player))
{
//resolvemove left
possibleBoards.Add(ResolveMove(index, index - 1));
}
}
}
AIBoardData ResolveMove(int start, int end)
{
//make a clone of a new possibleBoard within one move away from current board
AIBoardData possibleBoard = new AIBoardData((AICellData[])curBoard.boardData.Clone(), false);
//Resolve if both pieces are equal (remove both pieces)
if (curBoard.boardData[start].value == curBoard.boardData[end].value && curBoard.boardData[start].value != CellValue.King)
{
possibleBoard.boardData[end].value = 0;
possibleBoard.boardData[end].player = Player.Empty;
}
//Resolve if king has been taken (game over)
else if (curBoard.boardData[end].value == CellValue.King)
{
possibleBoard.boardData[end].value = curBoard.boardData[start].value;
possibleBoard.boardData[end].player = curBoard.boardData[start].player;
possibleBoard.gameWon = true;
}
//Resolve if taking piece
else if (curBoard.boardData[start].value > curBoard.boardData[end].value || curBoard.boardData[start].value == CellValue.King)
{
if (curBoard.boardData[end].value != CellValue.Empty)
{
possibleBoard.takePiece = true;
}
possibleBoard.boardData[end].value = curBoard.boardData[start].value;
possibleBoard.boardData[end].player = curBoard.boardData[start].player;
}
possibleBoard.moveFromIndex = start;
possibleBoard.moveToIndex = end;
possibleBoard.boardData[start].value = 0;
possibleBoard.boardData[start].player = Player.Empty;
possibleBoard.scoreOffset = curBoard.scoreOffset;
possibleBoard.flipIndex = curBoard.flipIndex;
return(possibleBoard);
}
return(possibleBoards);
}