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Find next best move in Tic-Tac-Toe using the forward chaining algorithm and my knowledge base!
This project forked from jwgould/forward_chaining
Find next best move in Tic-Tac-Toe using the forward chaining algorithm and my knowledge base!
///////////////////////////////////////////////////////////////// /// README.txt /// ///////////////////////////////////////////////////////////////// Author: Jason W Gould Program: Forward Chaining - Tic Tac Toe! Tested on Python version: 2.7.6 ================================================================ === FILES REQUIRED TO RUN === ================================================================ 1. fc.py (Python Program) 2. ttt.kb (Knowledge base) ================================================================ === INSTRUCTIONS: === ================================================================ 1. This program uses forward chaining to suggest the next best possible move. It works by applying the forward chaining algorithm and the user input board state to the knowledge base I defined in ttt.kb 2. To use the forward chaining program, simply run fc.py with the knowledge base and board state: EX STATE: |_O_|___|___| |_O_|___|_X_| |_X_|___|___| INPUT: > python fc.py ttt.kb "o11 b12 b13 o21 b22 x23 x31 b32 b33 turn_x" OUTPUT: ... move_x13_setup 3. Included files: - Sample program traces and output of example board states: trace1.txt, trace2.txt, trace3.txt, trace4.txt - Four test states: trace5.txt, trace6.txt, trace7.txt, trace8.txt - The program: fc.py - The knowledge base: ttt.kb
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