COBA 2.0: A Consistency-Based Belief Change System

  • Authors:
  • James P. Delgrande;Daphne H. Liu;Torsten Schaub;Sven Thiele

  • Affiliations:
  • School of Computing Science, Simon Fraser University, Burnaby, B.C., Canada V5A 1S6;School of Computing Science, Simon Fraser University, Burnaby, B.C., Canada V5A 1S6;Institut für Informatik, Universität Potsdam, Potsdam, Germany D-14482;Institut für Informatik, Universität Potsdam, Potsdam, Germany D-14482

  • Venue:
  • ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
  • Year:
  • 2007

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Abstract

We describe COBA 2.0, an implementation of a consistency-based framework for expressing belief change, focusing here on revision and contraction, with the possible incorporation of integrity constraints. This general framework was first proposed in [1]; following a review of this work, we present COBA 2.0's high-level algorithm, work through several examples, and describe our experiments. A distinguishing feature of COBA 2.0 is that it builds on SAT-technology by using a module comprising a state-of-the-art SAT-solver for consistency checking. As well, it allows for the simultaneous specification of revision, multiple contractions, along with integrity constraints, with respect to a given knowledge base.