minimax algorithm tic tac toe in matlab

Here is a simple implementation of the minimax algorithm for the game of Tic Tac Toe in MATLAB:

main.m
function [bestScore, bestMove] = minimax(board, isMaximizingPlayer)
    if checkWin(board) == 1 % if the maximizing player wins
        bestScore = 1;
        return;
    elseif checkWin(board) == -1 % if the minimizing player wins
        bestScore = -1;
        return;
    elseif isBoardFull(board) % if the board is full
        bestScore = 0;
        return;
    end

    if isMaximizingPlayer % for the maximizing player
        bestScore = -Inf;   % initialize to negative infinity
        for i=1:3
           for j=1:3
               if board(i,j) == 0 % empty square
                   board(i,j) = 1; % 1 represents the maximizing player
                   score = minimax(board, false);
                   board(i,j) = 0; % undo the move
                   bestScore = max(bestScore, score);
               end
           end
        end
    else % for the minimizing player
        bestScore = Inf; % initialize to infinity
        for i=1:3
           for j=1:3
               if board(i,j) == 0 % empty square
                   board(i,j) = -1; % -1 represents the minimizing player
                   score = minimax(board, true);
                   board(i,j) = 0; % undo the move
                   bestScore = min(bestScore, score);
               end
           end
        end
    end
end

function winner = checkWin(board)
  % implementation of the Tic Tac Toe winning conditions
end

function isFull = isBoardFull(board)
  % check if the board is full (no empty squares left)
end

% code to start the game and call the minimax function
board = zeros(3,3); % initialize an empty board
[bestScore, bestMove] = minimax(board, true); % start the game with the maximizing player (X)
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Note that this implementation assumes that the maximizing player is X and the minimizing player is O. You may need to modify the implementation to fit your specific implementation of the game.

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