Minimax Algorithm in AI

Minimax Algorithm in AI

Blog Article

The Minimax Algorithm in AI is used in decision-making and game theory. It's ideal for two-player games like chess or tic-tac-toe. The algorithm assumes one player tries to maximize the score while the other minimizes it. By exploring all possible moves and outcomes, it selects the best strategy. With pruning techniques like Alpha-Beta, it becomes efficient. Minimax teaches AI how to think ahead and evaluate future consequences—critical for strategic AI systems.