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Provides a demonstration of the Minimax algorithm with Alpha-Beta pruning to play a standard 3x3 Noughts and Crosses game.

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Minimax Algorithm with Alpha-Beta Pruning

This project demonstrates an application of the Minimax algorithm with Alpha-Beta pruning in a standard 3x3 Noughts and Crosses game.

Application

A C program that allows the user to play standard 3x3 Noughts and Crosses games against an optimal Artificial intelligence (AI).

As the AI is optimal the user can never win a game only ever draw or lose.

Invoking Instructions

The program can be compiled using the Makefile (compiled with make) and run with ./program.

At the start of a game you must select your symbol of either Noughts (O) or Crosses (X) where Noughts move first and Crosses second.

There is a numbered board on the right of the interface indicating numbers to enter to place you symbol in the corresponding cells.

Press Q in a game to end it early and outside of a game to quit. The terminal size must be at least 68x19 for the program to run.

Optimal Move (Minimax Algorithm with Alpha-Beta Pruning)

Each turn the AI will enumerate all possible moves and determine the move which leads to a win (or draw if win not possible).

The depth of the Minimax search tree is used to encourage the AI to make wins using the least amount of moves.

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Provides a demonstration of the Minimax algorithm with Alpha-Beta pruning to play a standard 3x3 Noughts and Crosses game.

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