Skip to main content

Preferred Answer Sets for Ordered Logic Programs

  • Conference paper
  • First Online:
Logics in Artificial Intelligence (JELIA 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2424))

Included in the following conference series:

Abstract

We extend answer set semantics to deal with inconsistent programs (containing classical negation), by finding a “best” answer set.Within the context of inconsistent programs, it is natural to have a partial order on rules, representing a preference for satisfying certain rules, possibly at the cost of violating less important ones.We showthat such a rule order induces a natural order on extended answer sets, the minimal elements of which we call preferred answer sets. We characterize the expressiveness of the resulting semantics and show that it can simulate negation as failure as well as disjunction.We illustrate an application of the approach by considering database repairs, where minimal repairs are shown to correspond to preferred answer sets.

Supported by the FWO

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Marcelo Arenas, Leopoldo Bertossi, and Jan Chomicki. Specifying and querying database repairs using logic programs with exceptions. In Proceedings of the 4th International Conference on Flexible Query Answering Systems, pages 27–41, Warsaw, Octobre 2000. Springer-Verlag.

    Google Scholar 

  2. Thomas Eiter, Georg Gottlob, and Nicola Leone. Abduction from logic programs: Semantics and complexity. Theoretical Computer Science, 189(1–2):129–177, 1997.

    Article  MATH  MathSciNet  Google Scholar 

  3. T. Eiter and G. Gottlob. Complexity results for disjunctive logic programming and application to nonmonotnic logics. In Proceedings of the 1983 International Logic Programming Symposium, pages 266–279, Vancouver, October 1993. MIT Press.

    Google Scholar 

  4. Michael Gelfond and Vladimir Lifschitz. The stable model semantics for logic programming. In Robert A. Kowalski and Kenneth A. Bowen, editors, Logic Programming, Proceedings of the Fifth International Conference and Symposium, pages 1070–1080, Seattle, Washington, August 1988. The MIT Press.

    Google Scholar 

  5. Robert A. Kowalski and Fariba Sadri. Logic programs with exceptions. In David H. D. Warren and Peter Szeredi, editors, Proceedings of the Seventh International Conference on Logic Programming, pages 598–613, Jerusalem, 1990. The MIT Press.

    Google Scholar 

  6. Els Laenens and Dirk Vermeir. Assumption-free semantics for ordered logic programs: On the relationship between well-founded and stable partial models. Journal of Logic and Computation, 2(2):133–172, 1992.

    Article  MATH  MathSciNet  Google Scholar 

  7. Vladimir Lifschitz. Answer set programming and plan generation. Journal of Artificial Intelligence, to appear.

    Google Scholar 

  8. Raymond Reiter. A theory of diagnosis from first principles. Artificial Intelligence, 32(1):57–95, 1987.

    Article  MATH  MathSciNet  Google Scholar 

  9. Chiaki Sakama and Katsumi Inoue. An alternative approach to the semantics of disjunctive logic programs and deductive databases. Journal of Automated Reasoning, 13(1):145–172, 1994.

    Article  MATH  MathSciNet  Google Scholar 

  10. M.H. van Emden and R. Kowalski. The semantics of predicate logic as a programming language. Journal of the Association for Computing Machinery, 23(4):733–742, 1976.

    MATH  MathSciNet  Google Scholar 

  11. M. De Vos and D. Vermeir. Semantic forcing in disjunctive logic programs. Computational Intelligence, 17(4):651–684, 2001.

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Van Nieuwenborgh, D., Vermeir, D. (2002). Preferred Answer Sets for Ordered Logic Programs. In: Flesca, S., Greco, S., Ianni, G., Leone, N. (eds) Logics in Artificial Intelligence. JELIA 2002. Lecture Notes in Computer Science(), vol 2424. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45757-7_36

Download citation

  • DOI: https://doi.org/10.1007/3-540-45757-7_36

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44190-8

  • Online ISBN: 978-3-540-45757-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics