One of my most recent projects was to create an unbeatable tictactoe game. It was a rewarding and humbling experience that I learned a lot from. Try out the tictactoe game here if you're looking for a thorough education.
In order to make the computer player unbeatable, an algorithm had to be created that could evaluate all possible moves and apply some metric to select the best possible move. The Minimax algorithm was found to be the best choice after a thorough investigation. Understanding the algorithm and putting it into practice in my game took some time. Code examples and explanations were plentiful, but they didn't truly help a novice like me understand the procedure. I'm hoping this post may help some of you realize the beauty of this algorithm's implementation. Defining a TicTacToe Game That Is Perfect
If you've ever played tic-tac-toe perfectly, then you know what it means:
If I follow the rules to the letter, I will either win every game or draw every game. If I play another flawless player, the game will always end in a draw for me. Can we put a number on these occurrences? Using the "end game conditions," let's give them a score. Hurray! I've won! I receive a total of ten! Shit, I'm out of here. Because the opposing player receives ten additional points for a draw, I am docked ten points. Neither I nor anyone else receives a single point. A conceivable score for any game end state has now been established. Conclusion
I hope you've gained a better understanding of the minimax algorithm and how to win at tictactoe as a result of this conversation. If you have any further questions or concerns, please leave a comment and I'll do my best to address them.
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