def MinMaxOpeningImproved(board, depth):
""" use MINIMAX algorithm and an improved estimation to choose the move for 'MIN' """
if depth == 0:
board.value = openingStaticImproved(board.position)
MorrisGame.numEvaluate += 1
return board
else:
board.child = MorrisGame.genMoveOpeningBlack(board.position)
minValue = float('inf')
retBoard = None
for child in board.child:
result = MaxMinOpeningImproved(child, depth - 1)
if minValue > result.value:
minValue = result.value
retBoard = child
retBoard.value = minValue
return retBoard
def MinMaxABOpening(board, depth, alpha, beta):
""" use Alpha-Beta pruning to choose the move for 'MIN' """
if depth == 0:
board.value = MorrisGame.openingStatic(board.position)
MorrisGame.numEvaluate += 1
return board
else:
board.child = MorrisGame.genMoveOpeningBlack(board.position)
minValue = float('inf')
retBoard = None
for child in board.child:
result = MaxMinABOpening(child, depth - 1, alpha, beta)
if minValue > result.value:
minValue = result.value
retBoard = child
retBoard.value = minValue
if minValue <= alpha:
return retBoard
elif minValue < beta:
beta = minValue
return retBoard
