There is a bit of setup you have to go through before you play the game so I'd like to explain that before posting the link, you'll understand everything that I'm about to say once you're looking at the game.įirst: go to "level" and check "Three-ply fixed depth search" and click "OK". Link is at bottom of post but I recommend reading what I've written as it explains how to setup the game correctly. The main reason I'm posting here right now though is that after finding this topic, I found a topic over on where member dawngalneryus posted a link to a java based Fanorona game which can be used in the same manner as you used the Nine Mens Morris game and I wanted to share the link to that since Fanorona seems to be the hardest game to win. Edited Novemby Ctrl Alt DefeatĪwesome! I haven't used this yet but I definitely will. If you guys have any ideas on how the explanation could be clearer, let me know. If you have any questions please ask them, for I suck at explaining things like this. Then whatever move the web game's AI makes on the web game board using RED, YOU move on the AC3 board using BLACK. In even simpler terms: Every move AC3 AI makes, (WHITE always moves first) YOU MOVE on the web game board using BLUE. So when the AI on the web game board moves, YOU will move your pieces on the AC3 board the exact way the AI on the web game board did, giving you the advantage. Choose to go second.ģ) On the flash game, choose the 'VII' difficulty, which should be smarter than the AI in AC3.Ĥ) The moves that the AI makes on AC3 board will be the moves YOU play on the web game's board. This seems to work most of the time, I've played the computer five times and won all five times.ġ) Go to: or Google 'Nine Mens morris web game.' (1st Link)Ģ) Start Nine Men's Morris in AC3. Please feel free to fork the repository and make pull requests.This was only game I needed for 'Original Gamer' so I was getting frustrated. If you detected any bugs or you want to suggest some improvements in this go game repository, please feel to submit a pull request or contact me by email Game's board : Please feel free to contact us for any further informations or/and help about this repository. This repository is free to use for all purposes, you can redistribute it and/or modify it without any restrictions. To set the code source environnement you need to prepare all dependecies of cocosd2. This project is portable and runs automatically. A console version build using alphabeta pruning search algorithm.A console version build using minimax pruning search algorithm.It plays pertty well game in the in-game. The two players mode of the game in the graphic version is build using alphabeta pruning search algorithm and This game is build from scratch using C++ language, it also contains a graphic and an android version build with cocos2d framework, Game to illustrate the difference between minimax and alphabeta in term of how much nodes every one processes. This project presents my very first contact with artificial intelligence field, it also contants two console versions of the A simple AI for Nine Mens Morris game using minimax and alphabeta pruning search algorithms and cocos2d frameworkĪ simple AI for nine mens morris using minimax and alphabeta pruning algorithms build from scratch for educational perposes.
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