![]() I'm not opposed to usage beyond the terms in the licenses - I'm just not comfortable granting blanket permissions for anything too broad. Just give credit and also license your work under an open license. I really have no idea what I'm talking about. Unless otherwise stated, all non-code content on this site created by me and hosted on this domain ( ) is licensed under Creative Commons Attribution Share-Alike 4.0 International. You should have received a copy of the GNU Affero General Public License along with this program. See the GNU Affero General Public License for more details. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. Kindly suggest what changes I should make, or where I am going wrong.This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. The expected result is to get the best move but instead, it runs endlessly. If(get_game_status(state, player) and player =1) :Įlif(get_game_status(state, player) and player = 2): ![]() If in win_state:Įlif in win_state:Īnd the scoring is handled using evaluate function: def evaluate(state, player): To know whether someone has WON || LOSS || DRAW, get_game_status function is called inside minimax function: def get_game_status(state, player): Pseudo_states = successors(state, player, last_move)Įval = minimax(state, index, opponent(player), depth-1, alpha, beta)Įval = minimax(state, index, opponent(player), depth - 1, alpha, beta) If depth <= 0 or get_game_status(state, player) != 0: Possible_states.append(get_possible_state(copied_board, user_move, idx, player))įinally, every possible move is fed to minimax function which returns a val of the best move: def minimax(state, last_move, player, depth, alpha, beta): The successors function returns the possible states where it can play its move: def successors(boards, player, user_move): Val = minimax(state, index, opponent(player), depth-1, alpha, beta) Pseudo_states = successors(state, player, user_move) With its intuitive interface and user-friendly design, 'Tic Tac Toe - Ultimate Fun' makes it easy to place your moves and strategize your way to victory. Ultimate tic-tac-toe (also known as ten-tac-toe, super tic-tac-toe, strategic tic-tac-toe, meta tic-tac-toe, tic-tac-tic-tac-toe-toe, or (tic-tac-toe)² ) is a board game composed of nine tic-tac-toe boards arranged in a 3 × 3 grid. About the creator: Ultimate Tic-Tac-Toe is created by Codethislab. Get ready to empower your strategic mind and try to think ahead How to play: Put a piece on board - Left Mouse Button or Tap. # return suboptimal(state, user_move, player) The objective of the game is straightforward: players aim to create a line of three Xs or Os in a row, either horizontally, vertically, or diagonally, within a 3-by-3 grid. Ultimate Tic-Tac-Toe is the ultimate update to the beloved classic game we all love. # if suboptimal(state, user_move, player) != 0: The representation determines or constrains how efficient any operations on the board can be implemented. The make_bot_move function takes the position of the human and figures out in which sub-board it should play its best_move: def make_bot_move(state, user_move, player, depth): # choose a move to playĮnd_move = make_bot_move(boards_list, user_move, player, depth) You can play it as Super Tic Tac Toe, or just 9 pre-done boards for the regular game, which makes it good for both adults and kids Go ahead and print off a few and tuck them in the glove box. Initailly, once the game is started, the user is prompted to make a move from 1-9 which is then fed to the function:īoards is a list of list which contains the state of each sub-board. All i need is the best value and once i get that, i can retrieve the index from that state. The communication with the board is already handled. Ultimate tic tac toe is a game where user plays on a 9X9 board with 9 3X3 tic tac toes in it and when user make a move in one board opponent gets chance in corrosponding tic. ![]() The problem is that when i run the code and it is the time for bot to play its move, it runs endlessly without coming to a conclusion and returning a best_move. I am using minimax algorithm with alpha-beta pruning to find out the best move for the bot to play. I am trying to make an ultimate tic-tac-toe game in python which is a little different than the actual one in a way that this game ends when there is a win in any one sub-board.
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