Translation-based constraint answer set solving

  • Authors:
  • Christian Drescher;Toby Walsh

  • Affiliations:
  • NICTA and University of New South Wales, Sydney, Australia;NICTA and University of New South Wales, Sydney, Australia

  • Venue:
  • IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
  • Year:
  • 2011

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Abstract

We solve constraint satisfaction problems through translation to answer set programming (ASP). Our reformulations have the property that unit-propagation in the ASP solver achieves well defined local consistency properties like arc, bound and range consistency. Experiments demonstrate the computational value of this approach.