Alpha-Beta Pruning is an optimization technique for the minimax algorithm. It reduces the number of nodes evaluated in the search tree by eliminating branches that cannot influence the final decision.
How it works: The algorithm maintains two values, alpha and beta, which represent the minimum score that the maximizing player is assured of and the maximum score that the minimizing player is assured of, respectively.
Benefits: Alpha-beta pruning can significantly reduce the number of nodes evaluated, making the algorithm much more efficient, especially in games with high branching factors.
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