Correct option is B
Alpha-Beta pruning is an optimization technique for the minimax algorithm used in decision-making and game theory. It reduces the number of nodes evaluated in the search tree, improving performance while maintaining correctness.
Information Booster:
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Alpha (α): The best value that the maximizer can guarantee.
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Beta (β): The best value that the minimizer can guarantee.
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Pruning: Stops evaluation of branches that cannot affect the final decision.
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Optimization: Alpha-Beta pruning reduces time complexity to O(bd/2), where b is the branching factor and d is the depth.
Additional Knowledge:
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Minimax Algorithm: A decision rule for minimizing the possible loss for a worst-case scenario.
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Applications: Used in AI, particularly in chess, tic-tac-toe, and similar games.