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Which algorithm is used in tic tac toe game?
Minimax Algorithm
Minimax Algorithm is a decision rule formulated for 2 player zero-sum games (Tic-Tac-Toe, Chess, Go, etc.). This algorithm sees a few steps ahead and puts itself in the shoes of its opponent.
How do you make your tic tac toe game unbeatable by using the minimax algorithm?
A Minimax algorithm can be best defined as a recursive function that does the following things:
- return a value if a terminal state is found (+10, 0, -10)
- go through available spots on the board.
- call the minimax function on each available spot (recursion)
- evaluate returning values from function calls.
How the move is selected using minimax algorithm?
It provides an optimal move for the player assuming that opponent is also playing optimally. Mini-Max algorithm uses recursion to search through the game-tree. The minimax algorithm proceeds all the way down to the terminal node of the tree, then backtrack the tree as the recursion.
Why was the minimax algorithm created for tic tac toe?
In order to make the game unbeatable, it was necessary to create an algorithm that could calculate all the possible moves available for the computer player and use some metric to determine the best possible move. After extensive research it became clear that the Minimax algorithm was right for the job.
Why is tic tac toe a good example of machine learning?
Because it’s such a simple game with relatively few states, I thought that tic-tac-toe would be a convenient case study for machine learning and AI experimentation. Here I’ve implemented a simple algorithm called minimax. The basic idea behind minimax is that we want to know how to play when we assume our opponent will play the best moves possible.
Can you play a perfect game of tic tac toe?
A player can play a perfect game of Tic-tac-toe (to win or, at least, draw) if they choose the first available move from the following list, each turn, as used in Newell and Simon’s 1972 tic-tac-toe program. [6] Win: If you have two in a row, play the third to get three in a row.
How does the AI work in tic tac toe?
Once in a terminal state, the AI will assign an arbitrary positive score (+10) for a win, a negative score (-10) for a loss, or a neutral score (0) for a tie. At the same time, the algorithm evaluates the moves that lead to a terminal state based on the players’ turn.