![]() ![]() Minimax in Codeįor this tutorial you will be working on a near end state of the game which is shown in figure 2 below. To completely grasp the Minimax’s thought process, let’s implement it in code and see it in action in the following two sections. If you are new to the concept of recursion, I recommend watching this video from Harvard’s CS50. evaluate returning values from function calls.call the minimax function on each available spot (recursion).go through available spots on the board.return a value if a terminal state is found (+10, 0, -10).See the Pen minimax 4 medium by Ahmad on CodePen.Ī Minimax algorithm can be best defined as a recursive function that does the following things: Try it for yourself in the following game preferably using a Chrome browser. Using this strategy, Minimax avoids losing to the human player. It will choose the move with maximum score when it is the AI’s turn and choose the move with the minimum score when it is the human player’s turn. Once in a terminal state, the AI will assign an arbitrary positive score (+10) for a win, a negative score (-10) for a loss, or a neutral score (0) for a tie.Īt the same time, the algorithm evaluates the moves that lead to a terminal state based on the players’ turn. It keeps playing ahead until it reaches a terminal arrangement of the board ( terminal state) resulting in a tie, a win, or a loss. Like a professional chess player, this algorithm sees a few steps ahead and puts itself in the shoes of its opponent. ![]() So if you are going through a similar journey, I would like to introduce you to the Minimax algorithm. I struggled for hours scrolling through tutorials, watching videos, and banging my head on the desk trying to build an unbeatable Tic Tac Toe game with a reliable Artificial Intelligence. ![]()
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