Ad
related to: alpha beta pruning walkthrough- Meet The Team
See Who We Are
Know Who Is Coming
- Contact Us
Call Us Today
Contact Us Now
- Meet The Team
Search results
Results From The WOW.Com Content Network
Alpha–beta pruning is a search algorithm that seeks to decrease the number of nodes that are evaluated by the minimax algorithm in its search tree. It is an adversarial search algorithm used commonly for machine playing of two-player combinatorial games ( Tic-tac-toe , Chess , Connect 4 , etc.).
In alpha–beta pruning, the search is fastest (in fact, optimal) when the child of a node corresponding to the best move is always considered first. Of course, there is no way of knowing the best move beforehand, but when iterative deepening is used, the move that was found to be the best in a shallower search is a good approximation.
alpha In the minimax search algorithm, the minimum value that the side to move can achieve according to the variations that have been evaluated so far. alpha–beta pruning An algorithm that reduces the number of nodes searched by the minimax algorithm. This refinement is essential to make it practical to search large game trees such as those ...
An aspiration window is a heuristic used in pair with alpha-beta pruning in order to reduce search time for combinatorial games by supplying a window (or range) around an estimated score guess. Use of an aspiration window allows alpha-beta search to compete in the terms of efficiency against other pruning algorithms .
Bruce Ballard was the first to develop a technique, called *-minimax, that enables alpha-beta pruning in expectiminimax trees. [3] [4] The problem with integrating alpha-beta pruning into the expectiminimax algorithm is that the scores of a chance node's children may exceed the alpha or beta bound of its parent, even if the weighted value of each child does not.
Alpha–beta pruning works best when the best moves are considered first. This is because the best moves are the ones most likely to produce a cutoff , a condition where the game-playing program knows that the position it is considering could not possibly have resulted from best play by both sides and so need not be considered further.
Give the coins to the tavern keeper and the guest room can now be accessed. Enter the guest room. Use the old photo on the picture frame at the left side of the room to find a jewel piece.
Alpha–beta pruning speeds the minimax algorithm by identifying cutoffs, points in the game tree where the current position is so good for the side to move that best play by the other side would have avoided it. Since such positions could not have resulted from best play, they and all branches of the game tree stemming from them can be ignored.