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A structural approach to default reasoning

机译:默认推理的结构化方法

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In this paper, we present several approaches to default reasoning in a possibilistic framework which all are based on purely structural information, encoded by the conditional structures of worlds. Conditional structures symbolize the effects conditionals have on worlds and make conditional interactions transparent and computable, providing a sound algebraic framework for default inferences. Even the weakest of our inference relations, which merely demands a compatibility with conditional structures, proved to be quite well-behaved, according to widely accepted standards. The other two inference relations investigated here are based on faithful possibilistic realizations of conditional structures. Both these approaches allow to handle implicit priorities among the default rules under consideration and thereby combine structural with qualitative information.
机译:在本文中,我们提出了一种可能性框架中的默认推理方法,这些方法都是基于纯结构信息,由世界的条件结构编码。条件结构象征着条件对世界的影响,并使条件交互透明和可计算,为默认推断提供了可靠的代数框架。根据广泛接受的标准,即使是我们最弱的推理关系,仅要求与条件结构兼容,也表现良好。这里研究的其他两个推理关系是基于条件结构的忠实可能性实现的。这两种方法都允许处理正在考虑的默认规则中的隐式优先级,从而将结构性信息与定性信息结合起来。

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