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Sagot :
The algorithm keeps track of two values: beta and alpha. These stand for the lowest score guaranteed to the person who maximizes and the highest point guaranteed to the player who minimizes, respectively.
The alpha-beta technique is a search algorithm that aims to minimize the number of nodes in a search tree that are assessed using the minimal algorithm. This is a typical aggressive search algorithm for two-player computer games. If at least one alternative that demonstrates that the move is worse than the previously analyzed move is discovered, stop evaluating the move . Further analysis of these motions is not necessary .It produces the same behavior as the minimal when applied to a conventional minimal tree, but it removes branches that might not have an impact on the final choice. Whenever a minimized player's (also known as a "beta" player) maximum score is higher than a maximized player's (also known as a "alpha" player") minimum score.
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