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This algorithm is extremely beneficial, as it reduces the computation time and makes the search go deeper in the game tree, quickly. Also, the Alpha here is negative infinity and beta positive infinity, and players start the search with their worst possible score. It is termed as the modified version as well as the optimization technique for the minimax search algorithm and is used commonly in machines playing two players games like Go, Tic Tac Toe, Chess, etc.Īlpha-Beta Pruning is known so because, it passes two additional parameters in the minimax function, namely Alpha and Beta, that represents the best value that the maximizer guarantees as well as the best value that the minimizer guarantees at that level.
Also known as Alpha Beta pruning algorithm, Alpha Beta Pruning is a search algorithm that is used to decrease the number of nodes or branches that are evaluated by the Minimax Algorithm in the search tree.
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