Game AI is different from ordinary search. You are not just finding a path. You are making a move while another player is trying to block you. That is why game decision-making needs a different structure. Core Idea In game search, every move creates a new state. But unlike simple pathfinding, the next state is not fully under your control. Your opponent also chooses. So the algorithm must ask: “What is my best move if the opponent also plays well?” That question is the heart of Minimax. The Key Structure A simple game decision flow looks like this: Current Board → Possible Moves → Opponent Responses → Score Positions → Choose Best Move Minimax expresses this idea: MAX player tries to maximize the score MIN player tries to minimize the score the final decision assumes both players play optimally So Game AI is not only about choosing a good move. It is about choosing a move that survives the opponent’s best response.…