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Counting complexity of propositional abduction

机译:计算命题绑架的复杂性

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摘要

Abduction is an important method of non-monotonic reasoning with many applications in artificial intelligence and related topics. In this paper, we concentrate on propositional abduction, where the background knowledge is given by a propositional formula. Decision problems of great interest are the existence and the relevance problems. The complexity of these decision problems has been systematically studied while the counting complexity of propositional abduction has remained obscure. The goal of this work is to provide a comprehensive analysis of the counting complexity of propositional abduction in various settings.
机译:绑架是非单调推理的一种重要方法,在人工智能和相关主题中有许多应用。在本文中,我们集中讨论命题绑架,其中背景知识由命题公式给出。引起人们极大兴趣的决策问题是存在性和相关性问题。对这些决策问题的复杂性进行了系统的研究,而命题绑架的计数复杂性仍不清楚。这项工作的目的是对各种情况下的命题绑架的计数复杂度进行全面分析。

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