Alpha–beta pruning - Wikipedia
网页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.).
一步步看α-β剪枝算法 - 知乎 - 知乎专栏
网页首先要说的是，alpha-beta剪枝建立在两个假设上： 整个博弈过程属于零和博弈，即一方的收益必然意味着另一方的损失，博弈双方的收益和损失相加总和永远是零，双方不存在任何合作的可能。
最清晰易懂的MinMax算法和Alpha-Beta剪枝详解 - CSDN博客
网页2019年11月26日 — Alpha-beta剪枝算法和Min-Max剪枝算法都是用于博弈树搜索的算法，它们的主要区别在于： 1. Alpha-beta剪枝算法是基于Min-Max剪枝算法的改进版，它利用局面的上下界信息来剪枝，从而减少搜索的节点数，提高搜索效率。 2.
Minimax Algorithm in Game Theory | Set 4 (Alpha-Beta Pruning)
网页2023年1月16日 — Alpha-Beta pruning is not actually a new algorithm, but rather an optimization technique for the minimax algorithm. It reduces the computation time by a huge factor. This allows us to search much faster …
Alpha-beta剪枝 - 维基百科，自由的百科全书
网页Alpha-beta剪枝是一种搜索算法，用以减少极小化极大算法（Minimax算法）搜索树的节点数。 这是一种对抗性搜索算法，主要应用于机器游玩的二人游戏（如 井字棋 、 象棋 、 围棋 ）。
Artificial Intelligence | Alpha-Beta Pruning - Javatpoint
网页It is also called as Alpha-Beta Algorithm. Alpha-beta pruning can be applied at any depth of a tree, and sometimes it not only prune the tree leaves but also entire sub-tree. The two-parameter can be defined as: Alpha: The best (highest-value) choice we have found so far at any point along the path of Maximizer. The initial value of alpha is -∞.
Alpha-Beta pruning in Adversarial Search Algorithms
网页2024年6月13日 — Alpha-beta pruning is a powerful optimization technique for adversarial search algorithms, particularly in games and decision-making scenarios. By eliminating branches that do not influence the final outcome, it enhances the efficiency of the minimax algorithm without compromising the optimality of the solution.
网页Alpha-beta pruning is the standard searching procedure used for solving 2-person perfect-information zero sum games exactly. Definitions: A position p. The value of a position p, f (p), is a numerical value computed from evaluating p. Value is computed from the root player’s point of view.
Lecture 6: Search: Games, Minimax, and Alpha-Beta
网页Lecture 6: Search: Games, Minimax, and Alpha-Beta. Description: In this lecture, we consider strategies for adversarial games such as chess. We discuss the minimax algorithm, and how alpha-beta pruning improves its efficiency. We then examine progressive deepening, which ensures that some answer is always available.
ALGORITHMS - ALPHA-BETA PRUNING - Computer Science
网页ALGORITHMS - ALPHA-BETA PRUNING. Alpha-beta pruning is an improvement over the minimax algorithm. The problem with minimax is that the number of game states it has to examine is exponential in the number of moves. While it is impossible to eliminate the exponent completely, we are able to cut it in half.
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