Succinct Representations of Model Based Belief Revision

  • Authors:
  • Paolo Penna

  • Affiliations:
  • -

  • Venue:
  • STACS '00 Proceedings of the 17th Annual Symposium on Theoretical Aspects of Computer Science
  • Year:
  • 2000

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Abstract

In this paper, following the approach of Gocic, Kautz, Papadimitriou and Selman (1995), we consider the ability of belief revision operators to succinctly represent a certain set of models. In particular, we show that some of these operators are more efficient than others, even though they have the sane model checking complexity. We show that these operators are partially ordered, i.e. some of them are not comparable. We also strengthen some of the results by Cadoli, Donini, Liberatore and Shaerf (1995) by showing that for some of the so called "model based" operators, a polynomial size representation does not exist even if we allow the new knowledge base to have a non polynomial time model checking (namely, either in NP or in co-NP). Finally, we show that Dalal's and Weber's operators can be compiled one into the other via a formalism whose model checking is in NP. All of our results also hold when iterated revision, for one or more of the operators, is considered.