Answer set optimization

  • Authors:
  • Gerhard Brewka;Ilkka Niemela;Miroslaw Truszczynski

  • Affiliations:
  • Comp. Sci. Institute, University of Leipzig, Leipzig, Germany;Dept. of Comp. Sci. and Eng., Helsinki University of Technology, Helsinki, Finland;Dept. of Comp. Sci., University of Kentucky, Lexington, KY

  • Venue:
  • IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
  • Year:
  • 2003

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Abstract

We investigate the combination of answer set programming and qualitative optimization techniques. Answer set optimization programs (ASO programs) have two parts. The generating program Pgen produces answer sets representing possible solutions. The preference program Ppref expresses user preferences. It induces a preference relation on the answer sets of Pgen based on the degree to which rules are satisfied. We discuss possible applications of ASO programming, give complexity results and propose implementation techniques. We also analyze the relationship between ASO programs and CP-networks.