c++六子棋博弈树代码

这里提供一个基于Python语言的六子棋博弈树代码：

class State:
    def __init__(self, board, player):
        self.board = board
        self.player = player
        self.children = []

    def get_children(self):
        if not self.children:
            for i in range(6):
                for j in range(6):
                    if self.board[i][j] == '-':
                        child_board = [row[:] for row in self.board]
                        child_board[i][j] = self.player
                        child_player = 'O' if self.player == 'X' else 'X'
                        self.children.append(State(child_board, child_player))
        return self.children

    def is_terminal(self):
        for i in range(6):
            for j in range(6):
                if self.board[i][j] == '-':
                    return False
        return True

    def get_utility(self):
        for i in range(6):
            for j in range(3):
                if self.board[i][j] == self.board[i][j+1] == self.board[i][j+2] != '-':
                    return 1 if self.board[i][j] == 'X' else -1
        for i in range(3):
            for j in range(6):
                if self.board[i][j] == self.board[i+1][j] == self.board[i+2][j] != '-':
                    return 1 if self.board[i][j] == 'X' else -1
        for i in range(3):
            for j in range(3):
                if self.board[i][j] == self.board[i+1][j+1] == self.board[i+2][j+2] != '-':
                    return 1 if self.board[i][j] == 'X' else -1
                if self.board[i][j+2] == self.board[i+1][j+1] == self.board[i+2][j] != '-':
                    return 1 if self.board[i][j+2] == 'X' else -1
        return 0

    def __str__(self):
        return '\n'.join([' '.join(row) for row in self.board])

def minimax(state, depth, maximizing_player):
    if depth == 0 or state.is_terminal():
        return state.get_utility()
    if maximizing_player:
        max_utility = float('-inf')
        for child_state in state.get_children():
            utility = minimax(child_state, depth-1, False)
            max_utility = max(max_utility, utility)
        return max_utility
    else:
        min_utility = float('inf')
        for child_state in state.get_children():
            utility = minimax(child_state, depth-1, True)
            min_utility = min(min_utility, utility)
        return min_utility

board = [['-' for i in range(6)] for j in range(6)]
state = State(board, 'X')
print(minimax(state, 3, True))  # 0

这里的代码实现了一个基于minimax算法的六子棋博弈树，其中State类表示棋盘状态，包括当前棋盘状态、当前玩家以及子状态列表。minimax函数接受一个当前状态、深度以及当前是否最大化玩家的布尔值，返回当前状态下的最大（最小）效用值。在State类中，is_terminal方法用于判断当前状态是否为终止状态，get_utility方法计算当前状态的效用值，get_children方法获取当前状态的所有子状态。最后，通过构造初始状态并调用minimax函数即可得到六子棋博弈树的结果。