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The pathology of heuristic search in the 8-puzzle

机译:8谜启发式搜索的病理学

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摘要

In practice, an incomplete heuristic search nearly always finds better solutions if itnis allowed to search deeper, i.e. expand and heuristically evaluate more nodes innthe search tree. On the rare occasions when searching deeper is not beneficial, ancurious phenomenon called ‘search pathology’ occurs. In this article, we study thenpathology and gain of a deeper search of the minimin algorithm in the 8-puzzle,na domain often used for evaluating single-agent search algorithms. We havenanalysed the influence of various properties of the search tree and the heuristicnevaluation function on the gain and the pathology. In order to investigate a broadnrange of the properties, the original 8-puzzle was extended with diagonal moves,nyielding a larger variety of search trees. It turned out that in the 8-puzzle, ansubstantial proportion of the solvable positions is pathological under variousnparameters. More importantly, the search parameters that enable the highestngains are quite consistent in pathological and non-pathological positions alike,nthus pointing to potentially successful search strategies.
机译:在实践中,如果允许进行更深入的搜索(即在搜索树中扩展并启发式评估更多节点),则不完全的启发式搜索几乎总会找到更好的解决方案。在极少数情况下,进行更深入的搜索是无益的,这种奇怪的现象被称为“搜索病理学”。在本文中,我们将研究通常用于评估单代理搜索算法的8-puzzle,na域中的minimin算法的更深入搜索的病理学和收益。我们已经分析了搜索树的各种属性和启发式评估函数对增益和病理的影响。为了研究更广泛的属性,最初的8拼图通过对角线移动进行扩展,从而扩大了搜索树的种类。事实证明,在8个难题中,在各种参数下,可解决位置的很大一部分是病理性的。更重要的是,在病理学和非病理学方面,能够获得最高增益的搜索参数都非常一致,从而指出了可能成功的搜索策略。

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