Nonmonotonic reasoning, preferential models and cumulative logics
Artificial Intelligence
What does a conditional knowledge base entail?
Artificial Intelligence
Nonmonotonic reasoning, conditional objects and possibility theory
Artificial Intelligence
Plausibility measures and default reasoning
Journal of the ACM (JACM)
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
System Z: a natural ordering of defaults with tractable applications to nonmonotonic reasoning
TARK '90 Proceedings of the 3rd conference on Theoretical aspects of reasoning about knowledge
Reasoning about Typicality in Preferential Description Logics
JELIA '08 Proceedings of the 11th European conference on Logics in Artificial Intelligence
Analytic tableaux calculi for KLM logics of nonmonotonic reasoning
ACM Transactions on Computational Logic (TOCL)
Preferential vs Rational Description Logics: which one for Reasoning About Typicality?
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
A minimal model semantics for nonmonotonic reasoning
JELIA'12 Proceedings of the 13th European conference on Logics in Artificial Intelligence
A non-monotonic Description Logic for reasoning about typicality
Artificial Intelligence
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In this paper, we propose the logic Pmin, which is a nonmonotonic extension of Preferential logic P defined by Kraus, Lehmann and Magidor (KLM). In order to perform nonmonotonic inferences, we define a "minimal model" semantics. Given a modal interpretation of a minimal A-world as A ∧ □¬A, the intuition is that preferred, or minimal models are those that minimize the number of worlds where ¬□¬A holds, that is of A-worlds which are not minimal. We also present a tableau calculus for deciding entailment in Pmin.