Possibilistic Stratified Minimal Model Semantics

J. Nieves, Mauricio Osorio
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Abstract

In this paper, we introduce a recursive construction of a possibilistic logic programming semantics that we call Possibilistic Stratified Minimal Model Semantics. We show that this semantics has some interesting properties such as it is always defined and satisfies relevance. One of the main implications of satisfying relevance by this semantics is that it will allow performing top-down queries from a possibilistic knowledge base.
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可能性分层最小模型语义
在本文中,我们引入了一种递归构造的可能性逻辑规划语义,我们称之为可能性分层最小模型语义。我们证明了这种语义有一些有趣的特性,比如它总是被定义的,并且满足相关性。通过这种语义满足相关性的一个主要含义是,它将允许从可能性知识库执行自顶向下的查询。
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