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Reasoning About Surprising Scenarios in Description Logics of Typicality

机译:典型性描述逻辑中令人惊讶的场景的推理

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We continue our investigation on nonmonotonic procedures for preferential Description Logics in order to reason about plausible but surprising scenarios. We consider an extension ACC + T_R~(e×p) of the non-monotonic logic of typicality ACC + Tr by inclusions of the form T(C) (∈)_d D, where d is a degree of expectedness. We consider a notion of extension of an ABox, in order to assume typicality assertions about individuals satisfying cardinality restrictions on concepts, then we define a preference relation among such extended ABoxes based on the degrees of expectedness, then we restrict entailment to those extensions that are minimal with respect to this preference relation. We propose a decision procedure for reasoning in ACC + T_R~(e×p) and we exploit it to show that entailment is in ExpTime as for the underlying ACC. Last, we introduce a further extension of the proposed approach in order to reason about all plausible extensions of the ABox, by restricting the attention to specific degrees of expectedness ranging from the most surprising scenarios to the most expected ones.
机译:我们继续对非单调过程进行优先描述逻辑的研究,以推断出合理但令人惊讶的场景。我们通过包含形式T(C)(∈)_d D来考虑典型性ACC + Tr的非单调逻辑的扩展ACC + T_R〜(e×p),其中d是期望度。我们考虑一个ABox的扩展概念,以便假设有关个人满足概念上的基数限制的典型性断言,然后我们根据期望的程度在这些扩展的ABox中定义一个偏好关系,然后将包含范围限制为相对于此偏好关系而言最小。我们提出了一个在ACC + T_R〜(e×p)中进行推理的决策程序,并利用它来证明与基本ACC一样,蕴含在ExpTime中。最后,我们将提出的方法进行了进一步扩展,以便通过将注意力限制在从最令人惊讶的场景到最令人期望的场景的特定程度的期望上,从而推断出ABox的所有可能的扩展。

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