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Reasoning in Description Logics with Typicalities and Probabilities of Exceptions

机译:具有典型性和异常概率的描述逻辑中的推理

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We introduce a nonmonotonic procedure for preferential Description Logics in order to reason about typicality by taking probabilities of exceptions into account. We consider an extension, called ALC + T_r~P, of the logic of typicality ACC + T_r by inclusions of the form T(C)⊆_p D, whose intuitive meaning is that "typical Cs are Ds with a probability p" We consider a notion of extension of an ABox containing only some typicality assertions, then we equip each extension with a probability. We then restrict entailment of a query F to those extensions whose probabilities belong to a given and fixed range. We propose a decision procedure for reasoning in ACC + T_R~P and we exploit ıt to show that entailment is ExpTiME-complete as for the underlying ALC.
机译:我们为优先描述逻辑引入了非单调过程,以便通过考虑异常的可能性来推理出典型性。我们考虑通过包含形式T(C)⊆_pD来扩展典型性ACC + T_r的逻辑,称为ALC + T_r〜P,其直观含义是“典型Cs是Ds的概率为p”。一个仅包含一些典型性断言的ABox的扩展概念,然后为每个扩展配备一个概率。然后,我们将查询F的范围限制为概率属于给定且固定范围的那些扩展。我们提出了一个在ACC + T_R〜P中进行推理的决策程序,并且利用ıt来证明蕴含对于底层ALC是ExpTiME完全的。

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