Press the "about" button for the welcome dialog containing a few tips. All (or most) controls have context help and tip strips, so hover over a control for quick details or press ctrl+h for the context help if desired. Or set O to “manual” and press “Play!” to have the computer start as X instead. If this is achieved, the game ends in a win, otherwise the game ends in a draw once no more moves are possible.įrom the default settings after start of the program, simply click on one of the 16 positions of the board to start playing. The object of the game is to place four of your pieces in a row, either vertically, horizontally, or diagonally. X starts and players take alternate turns. The game takes place on a 4x4 board and involves two players, X and O. It also contains a set of difficult problem positions to entertain the user interested in puzzles. There is full coaching functionality via an intuitive color system if desired, either to get hints or to explore the depths of the game. There are several levels of playing strength (the highest playing perfectly), undo history, play against a human for either side, or self play with selectable strength for each side. The program provides an easy to use and intuitive user interface, yet provides a wealth of features. This demo project is a simple game: 4x4 Tic Tac Toe. If all cells have a value ("X" or "O"), and gameOver is still "false", change the gameOver variable to "true" and change all cells' font color to grey to reflect that the game is a draw: Change the font color of the row, column, or diagonal cells whose values form a winning combination to color green:įor ( let i = 0 i v = cellValues ] & v != "" Push each row, column, and diagonal cells' values into the appropriate array of the cellValues object:ĬellValues ]. querySelectorAll ( ".d1" ) ,ĭiagonalTwo : document. querySelectorAll ( ".c3" ) ,ĭiagonalOne : document. querySelectorAll ( ".c2" ) ,ĬolumnThree : document. querySelectorAll ( ".c1" ) ,ĬolumnTwo : document. querySelectorAll ( ".r3" ) ,ĬolumnOne : document. So, place the following code after step 7's bestPlayInfo variable. Therefore, the AI can now use bestPlayInfo's index value to choose the best cell to play on. addEventListener ( "click", startNewGame ) addEventListener ( "click", insertPlayersMark ) ) getElementById ( "new-game-btn" ) Ĭonst gameCells = document. getElementById ( "play-game-btn" ) Ĭonst newGameBtn = document. Open your index.html file and replicate the code below:Ĭonst playGameBtn = document. Create your code files Ĭreate the following files inside your project folder. Create a project directory Ĭreate a project folder-where this project's HTML, CSS, and JavaScript files would reside. The following sections will show you how to create the current state of the tic-tac-toe game, as illustrated in figure 2. Step 2: How to Recreate This Tutorial's Root Node Therefore, open your editor, and let's recreate this tutorial's root node. To make this tutorial precise, the root node (the current state of the tic-tac-toe game) we will use will be a near-the-end state game board-as shown in figure 2 below. So, now that you know what "maximizing player" and "minimizing player" imply, let's begin the process of making the AI unbeatable in a tic-tac-toe game! Step 1: Get Familiar with This Tutorial's Root Node Therefore, you could alternatively define the minimax algorithm as a recursive function created to help a player (the maximizer) decide on the gameplay that minimizes the maximum possibility of losing a game. The minimizing player is the player whose chances of winning must be minimized.
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