The minimax algorithm is a decision-making algorithm that is used in game theory to find the optimal move for a player, assuming that the other player is also playing optimally. To create the AI, we will be using the minimax algorithm. Step 4: Creating the AI using the minimax algorithm When the user clicks on a cell of the game board, we calculate the row and column of the cell and call the make_move() function to make the move. In the above code, we use Pygame to handle mouse clicks on the game window. Here's the code for handling user input: def handle_input(): for event in ():Įlif event.type = pygame.MOUSEBUTTONDOWN: ![]() We loop through all the cells of the grid and draw a rectangle for each cell. In the above code, we use Pygame to draw a 3x3 grid on the game window. Here's the code for drawing the game board: def draw_board(): for row in range( 3): We also set the size of the game window to 600圆00 pixels and set the caption of the game window to "Tic Tac Toe". In the above code, we import the Pygame library and initialize it. Here's the code for setting up the game window: import pygame We will be using Pygame to create the game window. The first step is to set up the game window. We will be building the AI controlled Tic Tac Toe game in the following steps:Ĭreating the AI using the minimax algorithm Pygame library, which is a set of Python modules designed for writing video games. To create this game, we will be using the following technologies: We will be using the minimax algorithm to create the AI. In this blog post, we will learn how to build an AI controlled Tic Tac Toe game using Python and Pygame library. ![]() However, it's also possible to build an AI controlled Tic Tac Toe game that can play against a human player. Tic Tac Toe is a classic game that can be played between two players.
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