![]() The simplest way to achieve this is to count the relative strength of the pieces on the board using the following table: Now let’s try to understand which side is stronger in a certain position. We’ll start by creating a function that just returns a random move from all of the possible moves:Īlthough this algorithm isn’t a very solid chess player, it’s a good starting point, as we can actually play against it: Black plays random moves. Using these libraries will help us focus only on the most interesting task: creating the algorithm that finds the best move. The starting position is used as input and the output is all the possible moves from that position. A visualization of the move generation function. Based on this, we can calculate all legal moves for a given board state. The move generation library basically implements all the rules of chess. We’ll use the chess.js library for move generation, and chessboard.js for visualizing the board. Step 1: Move generation and board visualization You can view the final AI algorithm here on GitHub. ![]() I’ll demonstrate how each affects the algorithm’s playing style. Let’s explore some basic concepts that will help us create a simple chess AI:Īt each step, we’ll improve our algorithm with one of these time-tested chess-programming techniques. By Lauri Hartikka A step-by-step guide to building a simple chess AI
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |