A comparison of structural CSP decomposition methods

  • Authors:
  • Georg Gottlob;Nicola Leone;Francesco Scarcello

  • Affiliations:
  • Inst. fur Informationssysteme, Technische Universitat Wien, Vienna, Austria;Inst. fur Informationssysteme, Technische Universitat Wien, Vienna, Austria;ISI-CNR, Rende, Italy

  • Venue:
  • IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
  • Year:
  • 1999

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Abstract

We compare tractable classes of constraint satisfaction problems (CSPs). We first give a uniform presentation of the major structural CSP decomposition methods. We then introduce a new class of tractable CSPs based on the concept of hypertree decomposition recently developed in Database Theory. We introduce a framework for comparing parametric decomposition-based methods according to tractability criteria and compare the most relevant methods. We show that the method of hypertree decomposition dominates the others in the case of general (nonbinary) CSPs.