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The Mini-Max algorithm is a recursive decision-making tool used in game theory to determine optimal moves for players in two-player games, where one player (MAX) seeks to maximize their score while the other (MIN) aims to minimize it. The algorithm explores the game tree using depth-first search, evaluating terminal nodes and backtracking to find the best move. Alpha-beta pruning is an optimization technique for the Mini-Max algorithm that reduces the number of nodes evaluated, improving efficiency by elimi

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