#### Category : minimax

I’m planning to create an intelligent bot for my project isola game with C++ and I tried to use the famous algorithms: (Minimax,Negmax,alpha beta) but I faced two problems the the first one is how I can do the modelisation of the game tree depending in game rules How to calculate utility the second one ..

I am currently trying to code a generic minmax algorithm. I am fairly new to c++ with background in c and arm asm programming. For the MinMax-Algorithm im using a variant called the Negamax, which makes it a little more compact: #define move typename game<evaluationtype>::_move #define gamestate typename game<evaluationtype>::_gamestate #define player typename game<evaluationtype>::_player template <typename ..

My very simple minimax algorithm for Tic-tac-toe is running at about 5 million nodes per second. Even though this is enough to find a Tic-tac-toe move in 0.1s, it’s way less than other programs. For example, this video shows at 10:00 that the speed for calculating chess moves (which are a lot more complex) is ..

The algorithm figures out its move on an empty grid in around 180ms which is obviously playable, but way too slow for its purpose. I’m also planning on implementing the algorithm for chess and I don’t want it to take so much time on a much simpler game. In this video the algorithm moves pretty ..

tac-toe minimax game is not working and I am having trouble finding the issue and was wondering if someone could lend a hand it would be a great help! #include <iostream> int board[9]{}; int state = 0; int player = 2; void PrintBoard() { system("cls"); std::cout << "ntTic-Tac-Toenn"; std::cout << "Player 1 (X) – Player ..

So I have this assignment to program TicTacToe with a Minimax Algorithm. The normal TicTacToe works perfectly fine. The problem lies within the minimax Algorithm which, for some reason, just always picks the next spot in order as you would read a book. this is the code for the initial call of minimax GameBoard board ..

I’ve been attempting to implement the minimax algorithm in my 3×3 tic-tac-toe game but it isn’t choosing the best move all the time, I’m able to beat it. I have this feeling that it is only choosing the best move for that current state but doesn’t look ahead to avoid letting me choose moves that ..