# How do you make your Tic-Tac-Toe game unbeatable by using the Minimax algorithm?

## 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:

1. return a value if a terminal state is found (+10, 0, -10)
2. go through available spots on the board.
3. call the minimax function on each available spot (recursion)
4. evaluate returning values from function calls.

## How long does Tic-Tac-Toe take to code?

Tic-tac-toe

A completed game of tic-tac-toe
Other names Noughts and Crosses Xs and Os
Players 2
Setup time Minimal
Playing time ~1 minute

What is Minimax algorithm in tic-tac-toe?

The key to the Minimax algorithm is a back and forth between the two players, where the player whose “turn it is” desires to pick the move with the maximum score. In turn, the scores for each of the available moves are determined by the opposing player deciding which of its available moves has the minimum score.

How is Minimax algorithm implemented?

Implementing Minimax Algorithm in Java

1. Take a game where you and your opponent take alternate turns.
2. Each time you take a turn you choose the best possible move (max)
3. Each time your opponent takes a turn, the worst move for you is chosen (min), as it benefits your opponent the most.

### Which algorithm is used in tic tac toe?

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.

### Is tic-tac-toe a fair game?

unfair game are those where there is a distinction between who moves first which affects who wins (outcome of the game is affected by the order of players taking turns). like, for example, tic-tac-toe: second player, if the game is played perfectly, can never win, he can force a draw at the most.

What is tic-tac-toe concept?

: a game in which two players alternately put Xs and Os in compartments of a figure formed by two vertical lines crossing two horizontal lines and each tries to get a row of three Xs or three Os before the opponent does.

How do I fix minimax problems?

The minimax problem can be alternatively expressed by minimizing an additional variable Z that is an upper bound for each of the individual variables (x1, x2, and x3). The minimax optimization solution is now a minimization with additional inequality constraints with Z. Python Gekko solves the minimax problem.

## Is there a trick to tic tac toe?

When you’re the first one up, there is a simple strategy on how to win tic tac toe: put your ‘X’ in any corner. This move will pretty much send you to the winner’s circle every time, so long as your opponent doesn’t put their first ‘O’ in the center box. This can make it harder to win, but it can happen.

## Is there a way to win tic-tac-toe every time?

Unfortunately, there is no way to guarantee that a player will win every single game of tic tac toe they play. Victory, defeat, or a draw is determined by the interaction of both players. If both players operate perfectly, a draw will always occur.

Is there a way to win tic tac toe every time?

How is minimax used to solve tic tac toe?

1. Tic-Tac-Toe with the Minimax Algorithm 2. Tic-Tac-Toe with Tabular Q-Learning 3. Tic-Tac-Toe with MCTS 4. Tic-Tac-Toe with a Neural Network In this article, I’d like to show an implementation of a tic-tac-toe solver using the minimaxalgorithm.

### Is there an evaluation function for tic tac toe?

Let us combine what we have learnt so far about minimax and evaluation function to write a proper Tic-Tac-Toe AI ( A rtificial I ntelligence) that plays a perfect game. This AI will consider all possible scenarios and makes the most optimal move.

### Can a tic tac toe game always draw?

As said above, if two experienced players are playing the Tic-Tac-Toe, then the game will always draw. There is another viral variant of this game- Ultimate Tic-Tac-Toe, which aims to make the normal Tic-Tac-Toe more interesting and less predictable. The above article implements simple Tic-Tac-Toe where moves are randomly made.

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.