Reasoning about change: time and causation from the standpoint of artificial intelligence
Reasoning about change: time and causation from the standpoint of artificial intelligence
Nonmonotonic reasoning, preferential models and cumulative logics
Artificial Intelligence
Rationality, transitivity, and contraposition
Artificial Intelligence
What does a conditional knowledge base entail?
Artificial Intelligence
Description logics of minimal knowledge and negation as failure
ACM Transactions on Computational Logic (TOCL)
Reasoning about Typicality in Preferential Description Logics
JELIA '08 Proceedings of the 11th European conference on Logics in Artificial Intelligence
Preferential description logics
LPAR'07 Proceedings of the 14th international conference on Logic for programming, artificial intelligence and reasoning
Ontology with likeliness and typicality of objects in concepts
ER'06 Proceedings of the 25th international conference on Conceptual Modeling
Rational closure for defeasible description logics
JELIA'10 Proceedings of the 12th European conference on Logics in artificial intelligence
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We present a semantic model of typicality of concept members in description logics (DLs) that accords well with a binary, globalist cognitive model of class membership and typicality. We define a general preferential semantic framework for reasoning with object typicality in DLs. We propose the use of feature vectors to rank concept members according to their defining and characteristic features, which provides a modelling mechanism to specify typicality in composite concepts.