Recent progress in understanding minimax search

ACM '83 Pub Date : 1900-01-01 DOI:10.1145/800173.809723
D. Beal
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引用次数: 5

Abstract

Lookahead search has been known for a long time to be effective in tackling problems which can be cast in minimax form (mainly game playing, but others include maintaining unstable balance against gravity, and business decisions). Recent results have shown that the benefit of lookahead depends on the structure inherent in the problem, and even that there exist some minimax problems for which lookahead search is DIS-advantageous. This paper reviews those results and then discusses algorithms which can be interpreted as recognising the structure of local areas of the search in order to control search expansion. Such algorithms can be orders of magnitude more cost-effective than search using alpha-beta alone.
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极大极小搜索的最新进展
很长一段时间以来,前瞻搜索一直被认为是解决极大极小问题的有效方法(游戏邦注:主要是玩游戏,但也包括维持不稳定的重力平衡和商业决策)。最近的结果表明,前瞻性的好处取决于问题的固有结构,甚至存在一些极小极大问题,前瞻性搜索是dis的优势。本文回顾了这些结果,然后讨论了可以解释为识别搜索局部区域结构以控制搜索扩展的算法。这样的算法可能比单独使用α - β的搜索效率高几个数量级。
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