I\'m writing a game that\'s a variant of Gomoku. Basically a tic tac toe on a huge board. Wondering if anyone knows a good AI strategy for the game. My current implementation is very stupid and takes
I\'m trying to implement the negamax algorithm, and this is how I thought it should be: public Move getBestMove(Board board){
Hi I\'m confused how you can determine the utility functions on with a minimax search Explain it with any game that you can use a minimax search with
Hey people i have t开发者_StackOverflowhis structure for the search tree class State { //CLASS STATE int value;
I am trying to code a Gomoku (five in a row) game in Java as an individual project.For the AI, I understand that the use of a Minimax function with Alpha-beta Pruning is a good way to approach this.Ho
I have coded some AI for connect-4. I would like to adjust the weights in certain evaluation functions. I have limited time and hardware so my question is this: Is it very bad with respect to qual开发
I am new to game tree algorithms, and i\'ve tried to implement a simple tictactoe game which utilizes the NegaMax algorithm to evaluate tile scores for the computer AI player.
I\'m coding an abstract strategy game with C# & XNA. As for the AI, I\'m currently using Negascout and a depth of 5. The following is the description of the game:
I\'ve wasted my entire day trying to use the minimax algorithm to make an unbeatable tictactoe AI. I missed something along the way (brain fried).
I read this answer, and it just confused me: TicTacToe AI Making Incorrect Decisions Could somebody help me understand how I could apply this to Tictactoe?
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