Here's a sample code to implement a Player vs AI tic-tac-toe game with GUI using Minimax algorithm in MATLAB:
% tic-tac-toe game with minimax algorithm
% Player vs. AI
% Initializing the game board
board = [' ',' ',' '; ' ',' ',' '; ' ',' ',' '];
player = 'X';
winner = '';
depth = 0;
% Create a GUI window for the game board
f = figure('Name','Tic Tac Toe','Units','Normalized','OuterPosition',[0 0.1 0.5 0.8],...
'MenuBar','none','ToolBar','none','NumberTitle','off');
% Draw game board in GUI
for i=1:3
for j=1:3
pos = [0.2+(j-1)*0.2, 0.7-i*0.2, 0.2, 0.2];
uicontrol('Style','pushbutton','Units','Normalized','Position',pos,...
'String',board(i,j),'Fontsize',30,'Callback',{@button_callback,i,j});
end
end
% Function to respond to button clicks on game board
function button_callback(source,eventdata,i,j)
% Check if the button has been clicked already
if source.String~=' '
return;
end
% Update board with player's position
global board player winner depth;
board(i,j) = player;
source.String = player;
% Switch player for next turn
if player=='X'
player = 'O';
else
player = 'X';
end
depth = depth + 1;
% Check for winner or tie game
winner = check_winner(board);
if winner~=' '
uialert(source.Parent,winner,'Game Over');
return;
elseif depth==9
uialert(source.Parent,'Tie Game','Game Over');
return;
end
% AI makes move
board = minimax(board, depth, -1);
for k=1:3
for l=1:3
if board(k,l)~=source.String
continue;
end
uicontrols = source.Parent.Children;
for m=1:numel(uicontrols)
if isequal(round(1000*uicontrols(m).Position),round(1000*source.Position+[0,0.020,0,0]))
uicontrols(m).String = board(k,l);
end
end
end
end
depth = depth + 1;
% Check for winner or tie game
winner = check_winner(board);
if winner~=' '
uialert(source.Parent,winner,'Game Over');
return;
elseif depth==9
uialert(source.Parent,'Tie Game','Game Over');
return;
end
% Switch player for next turn
if player=='X'
player = 'O';
else
player = 'X';
end
end
% Function to check for winner
function winner = check_winner(board)
winner = ' ';
% Check rows
for i=1:3
if board(i,1)==board(i,2) && board(i,2)==board(i,3) && board(i,1)~=' '
winner = board(i,1);
return;
end
end
% Check columns
for j=1:3
if board(1,j)==board(2,j) && board(2,j)==board(3,j) && board(1,j)~=' '
winner = board(1,j);
return;
end
end
% Check diagonals
if board(1,1)==board(2,2) && board(2,2)==board(3,3) && board(1,1)~=' '
winner = board(1,1);
return;
elseif board(1,3)==board(2,2) && board(2,2)==board(3,1) && board(1,3)~=' '
winner = board(1,3);
return;
end
end
% Function to calculate best move using Minimax algorithm
function best_move = minimax(board, depth, maximizer)
scores = zeros(3,3);
moves = [];
% Calculate score for each possible move
for i=1:3
for j=1:3
if board(i,j)==' '
board(i,j) = maximizer == 1 ? 'O' : 'X';
score = compute_score(board, depth);
board(i,j) = ' ';
scores(i,j) = score;
moves = [moves; [i, j, score]];
end
end
end
% Find best move
if maximizer == 1
max_score = max(scores,[],'all');
[row,col] = find(scores==max_score,1);
else
min_score = min(scores,[],'all');
[row,col] = find(scores==min_score,1);
end
best_move = board;
best_move(row,col) = maximizer == 1 ? 'O' : 'X';
end
% Function to compute score for Minimax algorithm
function score = compute_score(board, depth)
winner = check_winner(board);
if winner == 'O'
score = 10 - depth;
elseif winner == 'X'
score = depth - 10;
else
score = 0;
end
end
The code creates a Tic Tac Toe game board in a GUI window, and allows the player to make moves by clicking on the buttons. The game is played between the player and AI, where the AI uses the Minimax algorithm to play optimally. The algorithm recursively computes the scores for all possible moves, and chooses the best move based on the maximizer or the minimizer. The game ends when one of the players wins or the game ends in a tie.