MiniMax is a decision-making algorithm used in game theory and artificial intelligence, particularly for two-player zero-sum games like chess or tic-tac-toe. It evaluates possible moves by minimizing potential losses while maximizing gains. Developers and AI researchers benefit from its efficiency in creating strategic AI opponents, enabling smarter gameplay and optimized decision-making in competitive scenarios.
Get alerts when this topic surges in newsletters. Free to start.
Sign up freeExplore more trends:Trending Topics ·AI Trends ·Business Trends ·Finance Trends ·Technology Trends