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Tic-Tac-Toe AI Minimax Algorithm

The document contains a Python script implementing a minimax algorithm for a Tic-Tac-Toe game. It defines two functions: 'minimax' to evaluate the best score for the current player and 'ai_move' to determine the optimal move for the AI. The AI plays as 'O' and aims to maximize its score while minimizing the opponent's score.

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miway26248
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16 views1 page

Tic-Tac-Toe AI Minimax Algorithm

The document contains a Python script implementing a minimax algorithm for a Tic-Tac-Toe game. It defines two functions: 'minimax' to evaluate the best score for the current player and 'ai_move' to determine the optimal move for the AI. The AI plays as 'O' and aims to maximize its score while minimizing the opponent's score.

Uploaded by

miway26248
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as TXT, PDF, TXT or read online on Scribd
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# ai_logic.

py
import random

def minimax(board, depth, is_maximizing_player):


if check_winner(board):
return 1 if is_maximizing_player else -1
elif ' ' not in board:
return 0

if is_maximizing_player:
best_score = -float('inf')
for i in range(9):
if board[i] == ' ':
board[i] = 'O'
score = minimax(board, depth + 1, False)
board[i] = ' '
best_score = max(score, best_score)
return best_score
else:
best_score = float('inf')
for i in range(9):
if board[i] == ' ':
board[i] = 'X'
score = minimax(board, depth + 1, True)
board[i] = ' '
best_score = min(score, best_score)
return best_score

def ai_move(board):
best_score = -float('inf')
best_move = None
for i in range(9):
if board[i] == ' ':
board[i] = 'O'
score = minimax(board, 0, False)
board[i] = ' '
if score > best_score:
best_score = score
best_move = i

return best_move

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