The decision_making_algorithm is a way for a chess program to decide the best move by simulating different possibilities and choosing the most favorable one. Here’s a simplified explanation: 1. What's the Goal? The goal is to evaluate all possible moves and pick the one that gives the best advantage. This is done by looking ahead into the game (to a certain depth) and figuring out the outcomes of different moves. 2. How Does It Work? Think of a Tree : Imagine every move is like a branch of a tree. The program explores these branches (moves) to see where they lead. Evaluate the Situation : At each possible board position, the program assigns a "score" (how good or bad the position is for the player). 3. Steps in Plain Terms : a. When to Stop Thinking? If the program has looked far enough into the future (reached the depth limit) or if the game is over (like checkmate or stalemate), it stops and evaluates the board as it is. b. Two Players, Two Goals : The program assume...
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