Experiments with random trees show it to be the most efficient minimax algorithm.
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Take the minimax algorithm for example.
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The algorithm can be thought of as exploring the impractical to completely analyze games such as chess using the minimax algorithm.
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The design of Blondie24 is based on a minimax algorithm of the checkers game tree in which the evaluation function is an artificial neural network.
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The minimax algorithm is an adversarial search algorithm that is popularly used in games that require more than one player to compete against each other.
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In other words, higher heuristic values always represent situations more favorable for player A . This is the same behavior as the normal minimax algorithm.
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The neural net receives as input a vector representation of the checkerboard positions and returns a single value which is passed on to the minimax algorithm.
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Alpha-beta pruning can decrease the number of nodes the negamax algorithm evaluates in a search tree in a manner similar with its use with the minimax algorithm.
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Given the rules of any two-person game with a finite number of positions, one can always trivially construct a minimax algorithm that would exhaustively traverse the game tree.
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