论文标题
优先描述中有关典型性和概率的推理
Reasoning about Typicality and Probabilities in Preferential Description Logics
论文作者
论文摘要
在这项工作中，我们描述了典型性的优先描述逻辑，这是标准描述逻辑的非单调扩展，典型性操作员t可以扩展具有t（c）v d表格的知识基础，其直觉含义是通常/典型cs也是ds。该扩展是基于与优先模型建立的理性封闭概念相对应的最小模型语义。我们回想起优先描述逻辑的基本概念。我们还提出了优先语义的两个扩展：一方面，我们考虑了基于分布式语义的概率扩展，该语义适合解决常识概念组合问题，另一方面，我们考虑了其他加强理性封闭语义和构造的强化，以避免所谓的财产继承问题的封锁。
In this work we describe preferential Description Logics of typicality, a nonmonotonic extension of standard Description Logics by means of a typicality operator T allowing to extend a knowledge base with inclusions of the form T(C) v D, whose intuitive meaning is that normally/typically Cs are also Ds. This extension is based on a minimal model semantics corresponding to a notion of rational closure, built upon preferential models. We recall the basic concepts underlying preferential Description Logics. We also present two extensions of the preferential semantics: on the one hand, we consider probabilistic extensions, based on a distributed semantics that is suitable for tackling the problem of commonsense concept combination, on the other hand, we consider other strengthening of the rational closure semantics and construction to avoid the so-called blocking of property inheritance problem.
