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