The evaluate function is responsible for assigning scores to the game board based on its current state. The function uses recursion to explore all possible moves and calculates the scores using the evaluate function.
The minimax function takes three arguments: the current game board, the depth (which determines the maximum depth of the recursion), and a boolean flag indicating whether it is the maximizing player’s turn. We will start by defining the game board and the player symbols.ĭef minimax ( board, depth, maximizing_player ): # Base case: check if the game is over or depth limit reached if game_over ( board ) or depth = 0 : return evaluate ( board ) if maximizing_player : max_eval = float ( '-inf' ) for move in get_possible_moves ( board ): new_board = make_move ( board, move, PLAYER_X ) eval = minimax ( new_board, depth - 1, False ) max_eval = max ( max_eval, eval ) return max_eval else : min_eval = float ( 'inf' ) for move in get_possible_moves ( board ): new_board = make_move ( board, move, PLAYER_O ) eval = minimax ( new_board, depth - 1, True ) min_eval = min ( min_eval, eval ) return min_eval Let’s dive into the implementation of the minimax algorithm for Tic Tac Toe in Python. The scores are assigned based on the assumption that the opponent will also play optimally. The algorithm assigns a score to each possible move and selects the move with the highest score.
In the context of Tic Tac Toe, it works by exploring all possible moves and their outcomes to determine the best move for the AI player. The minimax algorithm is based on the concept of minimizing the maximum possible loss. In this article, we will explore the minimax algorithm and how it can be implemented in Python to create an unbeatable AI player for Tic Tac Toe. It is particularly useful for solving games with perfect information, such as Tic Tac Toe. In the world of artificial intelligence and game theory, the minimax algorithm is a well-known approach for decision-making in two-player games. | Miscellaneous Minimax Algorithm for Tic Tac Toe in Python Introduction
0 kommentar(er)
