面向时间投影问题的可处理推理

Xing Tan, M. Gruninger
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引用次数: 3

摘要

众所周知,人工智能时间投影问题的推理是困难的。在所谓的简单事件系统中,确定可能真问题是一个基本的时间投影决策问题,它仍然是np完全的。本文在此边界np -完全可能真问题上,进一步考虑了事件因果关系图论表示和事件偏序的两类约束,试图获得可追溯性。特别是,我们证明了即使因果图保持强限制拓扑,问题仍然是np完全的,而如果图与成对不相交偏序的集合密切相关,并且是分层结构的,则问题是可处理的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards tractable reasoning on temporal projection problems
It is well known that reasoning with AI temporal projection problems is difficult. Determining the Possible Truth problem, a basic temporal projection decision problem, in the so-called Simple Event System remains NP-complete. In this paper, two types of constraints, on the graph-theoretic representation of the cause-and-effect relationships between events and on the partial orders of events, are further considered upon this boundary NP-complete Possible Truth problem, in an attempt to gain tractability. In particular, we show that the problem is still NP-complete even if the cause-and-effect graphs maintain a strongly restricted topology, whereas it is tractable if the graph is closely associated with the set of pairwise disjoint partial orders, which in addition is hierarchically structured.
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