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Adversarial Search in AI Games by madahanacarlos is a document available to read on EtoBox.

The document discusses adversarial search techniques in game playing, highlighting the importance of understanding multi-agent environments and the necessity of adversarial search in competitive settings. It covers various types of games, including perfect and imperfect information games, and introduces concepts such as game trees, minimax algorithms, and alpha-beta pruning to optimize decision-making in games. The document emphasizes the effectiveness of AI in games, showcasing historical milestones in AI

Author
madahanacarlos
Language
EN