How is the minimax algorithm used in tic tac toe?
The general process of the Minimax algorithm is as follows: Step 1: First, generate the entire game tree starting with the current position of the game all the way upto the terminal states. This is how the game tree looks like for the game tic-tac-toe. Let us understand the defined terminology in terms of the diagram above.
Why is tic-tac-toe an interesting game to study?
Games such as chess, tic-tac-toe, and Go are interesting because they offer a pure abstraction of the competition between the two armies. It is this abstraction which makes game playing an attractive area for AI research. In this article, we will go through the basics of the Minimax algorithm along with the functioning of the algorithm.
How does AI work in tic tac toe?
At (E), the opponent was able to block the computer’s winning move and create a fork. To test the various AI strategies, an abstract superclass called AIPlayer is defined, which takes the Board as an argument in its constructor (because you need the board position to compute the next move).
How is the heuristic evaluation function used in tic tac toe?
For Tic-Tac-Toe, compute the scores for each of the 8 lines (3 rows, 3 columns and 2 diagonals) and obtain the sum. For an Othello (Reversi), the heuristic evaluation function could be the difference of computer’s seeds over opponent’s seeds.
Minimax Algorithm in Tic-Tac-Toe To apply the minimax algorithm in two-player games, we are going to assume that X is a maximizing player and O is a minimizing player. The maximizing player will try to maximize his score or in other words choose the move with the highest value.
How to make an AI tic tac toe player?
To create an AI player, we need to mimic how a human would think when playing a tic-tac-toe game. In real life, a human would think of all the possible consequences for each move. This is where the minimax algorithm comes handy.
How is minimax algorithm used in real life?
In real life, a human would think of all the possible consequences for each move. This is where the minimax algorithm comes handy. The minimax algorithm is a decision rule used to determine the best possible move in games where all possible moves can be foreseen like tic-tac-toe or chess.