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Generalization of Tic-Tac-Toe game and a solver based on the Minimax Algorithm and Alpha-Beta pruning.

Home Page: https://n-n-k-game.uc.r.appspot.com/

License: MIT License

CSS 12.00% Python 25.59% HTML 1.68% JavaScript 51.89% Shell 8.84%
tic-tac-toe minimax-algorithm alphabeta-minimax-search alpha-beta-pruning minimax minimax-search

n-n-k-game's Introduction

This project was bootstrapped with Create React App.

The (n, n, k)-game : A generalization of Tic-Tac-Toe

The standard game of Tic-Tac-Toe is generalized by allowing to resize the square grid as well as adjusting the streak of symbols required to end the game.

In this application, a user can play against an AI of varying difficulty, depending only on the allowed depth of the position search tree traversed in the Minimax Algorithm implemented with Alpha-Beta pruning.

The Minimax Algorithm

In a nutshell, it is a decision rule for minimizing the maximum possible loss, or equivalently, maximizing the minimum possible gain. A very interesting demonstration is provided in this youtube video.

Working Example

This application is hosted on Google App Engine and is accessible at link.

n-n-k-game's People

Contributors

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