Skip to main content

Combining Answer Set Programming and Prolog: The \(\mathbb{ASP{-}PROLOG}\) System

  • Chapter
Logic Programming, Knowledge Representation, and Nonmonotonic Reasoning

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6565))

Abstract

This paper presents a framework for combining Answer Set Programming and Prolog, as developed in the \(\mathbb{ASP{-}PROLOG}\) system. The paper focuses on the development of a model-theoretical account for \(\mathbb{ASP{-}PROLOG}\). It also illustrates the use of \(\mathbb{ASP{-}PROLOG}\) in several practical applications in knowledge representation and reasoning, common-sense reasoning, and planning.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Balduccini, M., Gelfond, M., Watson, R., Nogueira, M.: The USA-Advisor: A Case Study in Answer Set Planning. In: Eiter, T., Faber, W., Truszczyński, M. (eds.) LPNMR 2001. LNCS (LNAI), vol. 2173, pp. 439–442. Springer, Heidelberg (2001)

    Google Scholar 

  2. Baral, C., Dzifcak, J., Son, T.C.: Using answer set programming and lambda calculus to characterize natural language sentences with normatives and exceptions. In: AAAI, pp. 818–823. AAAI Press, Menlo Park (2008)

    Google Scholar 

  3. Baral, C., Gelfond, G., Pontelli, E., Son, T.C.: Logic programming for finding models in the logics of knowledge and its applications: A case study. TPLP 10(4-6), 675–690 (2010)

    MathSciNet  MATH  Google Scholar 

  4. Baral, C., Gelfond, M.: Logic programming and knowledge representation. Journal of Logic Programming 19/20, 73–148 (1994)

    Article  MathSciNet  MATH  Google Scholar 

  5. Brewka, G., Eiter, T.: Equilibria in Heterogeneous Nonmonotonic Multi-Context Systems. In: AAAI, pp. 385–390 (2007)

    Google Scholar 

  6. Dao-Tran, M., Eiter, T., Fink, M., Krennwallner, T.: Distributed nonmonotonic multi-context systems. In: KRR. AAAI Press, Menlo Park (2010)

    Google Scholar 

  7. Elkhatib, O., Pontelli, E., Son, T.C.: ASP-PROLOG: A System for Reasoning about Answer Set Programs in Prolog. In: Jayaraman, B. (ed.) PADL 2004. LNCS, vol. 3057, pp. 148–162. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  8. El-Khatib, O., Pontelli, E., Son, T.C.: Integrating an Answer Set Solver into Prolog: ASP-PROLOG. In: Baral, C., Greco, G., Leone, N., Terracina, G. (eds.) LPNMR 2005. LNCS (LNAI), vol. 3662, pp. 399–404. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  9. Gebser, M., Schaub, T., Thiele, S., Veber, P.: Detecting inconsistencies in large biological networks with answer set programming. TPLP 10(4-6) (2010)

    Google Scholar 

  10. Gelfond, M., Leone, N.: Logic programming and knowledge representation – the A-Prolog perspective. Artificial Intelligence 138(1-2), 3–38 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  11. Gelfond, M., Lifschitz, V.: The stable model semantics for logic programming. In: ICLP, pp. 1070–1080 (1988)

    Google Scholar 

  12. Gelfond, M., Lifschitz, V.: Action languages. ETAI 3(6) (1998)

    Google Scholar 

  13. Heljanko, K., Niemelä, I.: Bounded LTL model checking with stable models. Theory and Practice of Logic Programming 3(4,5), 519–550 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  14. Hoffmann, J., Nebel, B.: The FF Planning System: Fast Plan Generation Through Heuristic Search. Journal of Artificial Intelligence Research 14, 253–302 (2001)

    MATH  Google Scholar 

  15. Lifschitz, V.: Answer set programming and plan generation. Artificial Intelligence 138(1-2), 39–54 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  16. Marek, V., Truszczyński, M.: Stable models and an alternative logic programming paradigm. In: The Logic Programming Paradigm: a 25-year Perspective, pp. 375–398 (1999)

    Google Scholar 

  17. Niemelä, I.: Logic programming with stable model semantics as a constraint programming paradigm. Annals of Mathematics and Artificial Intelligence 25(3,4), 241–273 (1999)

    Article  MathSciNet  MATH  Google Scholar 

  18. Pontelli, E., Son, T.C., El-Khatib, O.: Justifications for logic programs under answer set semantics. TPLP 9(1), 1–56 (2009)

    MathSciNet  MATH  Google Scholar 

  19. Son, T.C., Tuan, L.C., Baral, C.: Adding Time and Intervals to Procedural and Hierarchical Control Specifications. In: AAAI, pp. 92–97. AAAI Press, Menlo Park (2004)

    Google Scholar 

  20. Son, T.C., Baral, C., Tran, N., McIlraith, S.: Domain-dependent knowledge in answer set planning. ACM Trans. Comput. Logic 7(4), 613–657 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  21. Son, T.C., Pontelli, E., Sakama, C.: Logic programming for multiagent planning with negotiation. In: Hill, P.M., Warren, D.S. (eds.) ICLP 2009. LNCS, vol. 5649, pp. 99–114. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  22. Son, T.C., Sakama, C.: Reasoning and planning with cooperative actions for multiagents using answer set programming. In: Baldoni, M., Bentahar, J., van Riemsdijk, M.B., Lloyd, J. (eds.) DALT 2009. LNCS, vol. 5948, pp. 208–227. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  23. Tu, P.H., Son, T.C., Baral, C.: Reasoning and Planning with Sensing Actions, Incomplete Information, and Static Causal Laws using Logic Programming. Theory and Practice of Logic Programming 7, 1–74 (2006)

    MATH  Google Scholar 

  24. Tu, P.H., Son, T.C., Gelfond, M., Morales, R.: Approximation of action theories and its application to conformant planning. Artificial Intelligence Journal (2010) (to appear)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Pontelli, E., Son, T.C., Nguyen, NH. (2011). Combining Answer Set Programming and Prolog: The \(\mathbb{ASP{-}PROLOG}\) System. In: Balduccini, M., Son, T.C. (eds) Logic Programming, Knowledge Representation, and Nonmonotonic Reasoning. Lecture Notes in Computer Science(), vol 6565. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20832-4_28

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-20832-4_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20831-7

  • Online ISBN: 978-3-642-20832-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics