Inconsistency-Tolerance in Knowledge-Based Systems by Dissimilarities

  • Ofer Arieli
  • Anna Zamansky
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7153)


Distance-based reasoning is a well-known approach for defining non-monotonic and paraconsistent formalisms, which so far has been mainly used in the context of standard two-valued semantics. In this paper, we extend this approach to arbitrary denotational semantics by considering dissimilarities, a generalization of distances. Dissimilarity-based reasoning is then applied for handling inconsistency in knowledge-based systems using various non-classical logics. This includes logics defined by multi-valued semantics, non-deterministic semantics, and possible-worlds (Kripke-style) semantics. In particular, we show that our approach allows to define a variety of inconsistency-tolerant entailment relations, and that it extends many well-studied forms of reasoning in the context of belief revision and database integration.


Belief Revision Denotational Semantic Paraconsistent Logic Nonmonotonic Reasoning Entailment Relation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Ofer Arieli
    • 1
  • Anna Zamansky
    • 2
  1. 1.Department of Computer ScienceThe Academic College of Tel-AvivTel-AvivIsrael
  2. 2.Institute for Discrete MathematicsVienna Technical UniversityAustria

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