private void OnValidate()
{
_grid = new OptimizedGrid(gridWidth, gridHeight, nodeWidth, nodeHeight, spacing);
_grid.GenerateGrid();
_grid.LoadMeshData(_mesh);
}
public IEnumerator GetRandomMove(OptimizedGrid optiGrid, System.Action <Move> toDo)
{
yield return(new WaitForEndOfFrame());
grid = optiGrid;
List <Move> newGameMoves = grid.GetAvailableMoves((CellColor)aiColor);
toDo(newGameMoves[Random.Range(0, newGameMoves.Count - 1)]);
}
private void CreateGrid()
{
modelGrid = new ModelGrid(5, 9, FindObjectsOfType <Cell>().ToList());
optiGrid = new OptimizedGrid(5, 9);
optiGrid.SetPatternData(aiEvaluationData);
}
public IEnumerator GetBestMove(OptimizedGrid optiGrid, System.Action <Move> toDo)
{
grid = optiGrid;
positionCount = 0;
timeSpent = 0;
float actualTime = Time.realtimeSinceStartup;
Move bestMove = new Move();
bool done = false;
yield return(new WaitForEndOfFrame());
List <Vector2> canWinCells = new List <Vector2>();
// if AI has a 4-0 pattern
if (grid.CanColorWin(aiColor, out canWinCells))
{
// if AI can move to win
if (grid.CanColorMoveToWin(aiColor, canWinCells, out bestMove))
{
grid.DoMove(bestMove);
if (IsScoreEnoughToWin(aiColor, canWinCells))
{
done = true;
}
grid.UndoMove(bestMove);
}
}
// if Player can win next turn
if (grid.CanColorWin(opponentColor, out canWinCells) && IsScoreEnoughToWin(opponentColor, canWinCells) && !done)
{
// if player can move to win next turn
if (grid.CanColorMoveToWin(opponentColor, canWinCells, out bestMove))
{
grid.DoMove(bestMove);
bool canPlayerWin = IsScoreEnoughToWin(opponentColor, canWinCells);
grid.UndoMove(bestMove);
// can AI def it ???
if (canPlayerWin && grid.CanColorMoveToWin(aiColor, canWinCells, out bestMove))
{
grid.DoMove(bestMove);
if (IsScoreEnoughToWin(aiColor, canWinCells))
{
done = true;
}
grid.UndoMove(bestMove);
}
}
}
if (!done)
{
int depth = 3;
bestMove = MiniMaxRoot(depth, true);
}
float newTime = Time.realtimeSinceStartup;
timeSpent = newTime - actualTime;
Debug.Log(positionCount + " in " + timeSpent);
toDo(bestMove);
}