The computational complexity of dominance and consistency in CP-nets

  • Authors:
  • Judy Goldsmith;Jérôme Lang;Miroslaw Truszczynski;Nic Wilson

  • Affiliations:
  • Dept. of Comp. Sci., University of Kentucky, Lexington, KY;IRIT, Universit´e Paul Sabatier, Toulouse Cedex, France;Dept. of Comp. Sci., University of Kentucky, Lexington, KY;Cork Constraint, Computation Centre, University College Cork, Ireland

  • Venue:
  • IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
  • Year:
  • 2005

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Abstract

We investigate the computational complexity of testing dominance and consistency in CP-nets. Up until now, the complexity of dominance has been determined only for restricted classes in which the dependency graph of the CP-net is acyclic. However, there are preferences of interest that define cyclic dependency graphs; these are modeled with general CP-nets. We show here that both dominance and consistency testing for general CP-nets are PSPACE-complete. The reductions used in the proofs are from STRIPS planning, and thus establish strong connections between both areas.