A situation-theoretic account of nonmonotonic reasoning

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Abstract

Situation theory in the sense of Barwise and Perry (1983) and nonmonotonic reasoning have been relatively disparate research programs in AI, the former focusing on computational approaches to natural language processing while the latter has been extensively used as a basic architecture for rational agents. The aim of the present paper is to suggest one way that these two approaches might fit together. Specifically, a situation semantics is given for a system of defeasible reasoning.

Original languageEnglish (US)
Pages (from-to)439-449
Number of pages11
JournalJournal of Experimental and Theoretical Artificial Intelligence
Volume10
Issue number4
DOIs
StatePublished - Oct 1 1998

Keywords

  • Situation theory nonmonotonic reasoning defeasibility

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence

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