This document explains the Tic Tac Toe AI. Tic Tac Toe is a two-player game played on a three-by-three grid. Players take turns placing their symbols, which are usually "X" and "O", on the board. The first player to get three of their symbols in a row, column, or diagonal wins. The game ends in a tie if there are no more empty spaces on the board. This game is popular among kids and adults alike due to its simple rules, but it can be quite challenging to master.

This AI is designed to play Tic Tac Toe against a human opponent. The AI can play at three levels: beginner, intermediate, and advanced. In the beginner level, the AI plays randomly. In the intermediate level, the AI uses the minimax algorithm to play optimally. In the advanced level, the AI uses the minimax algorithm with alpha-beta pruning to play optimally.

This AI is written in Python 3 and requires the following libraries:

• pygame
• numpy

To install these libraries, you can use pip:

pip install pygame numpy

To run the AI, run the tictactoe_ai.py file. You will be prompted to choose the level of the AI:

Choose the level of the AI:
1. Beginner
2. Intermediate
3. Advanced

Enter the number corresponding to the level you want to play against. The game board will appear on the screen, and you can start playing.

The Board class represents the game board. It has the following methods:

This method initializes the board. It creates a three-by-three array of zeros to represent the empty spaces on the board.

This method checks if the game has ended and returns the winner. If the show parameter is True, it also displays the winning row, column, or diagonal on the screen.

This method marks a square on the board with the given player's symbol.

This method returns True if the square at the given row and column is empty, and False otherwise.

This method returns a list of tuples representing the empty squares on the board.

This method returns True if the board is full, and False otherwise.

This method returns True if the board is empty, and False otherwise.

The AI class represents the AI player. It has the following methods:

This method initializes the AI player. The level parameter sets the level of the AI, and the player parameter sets the player number.

This method returns a random empty square on the board.

This method implements the minimax algorithm. It returns the best move for the AI to make and its corresponding score. The maximizing parameter determines whether the AI is trying to maximize its score or minimize its opponent's score.

This method evaluates the current state of the board and returns a score for the AI. The score is positive if the AI is winning, negative if the AI is losing, and zero if the game is tied.

In conclusion, this code implements a Tic Tac Toe game with a simple AI opponent. The game has been developed using the Pygame library and follows a traditional design with a user interface for the players to interact with. The AI opponent has been implemented using the Minimax algorithm, and the algorithm's depth can be adjusted to vary the level of difficulty.