Skip to main content
SpringerLink
Log in

Automatic Program Rewriting in Non-Ground Answer Set Programs

  • Conference paper
  • First Online:
Book cover Practical Aspects of Declarative Languages (PADL 2019)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11372))

Included in the following conference series:

Abstract

Answer set programming is a popular constraint programming paradigm that has seen wide use across various industry applications. However, logic programs under answer set semantics often require careful design and nontrivial expertise from a programmer to obtain satisfactory solving times. In order to reduce this burden on a software engineer we propose an automated rewriting technique for non-ground logic programs that we implement in a system projector. We conduct rigorous experimental analysis, which shows that applying system projector to a logic program can improve its performance, even after significant human-performed optimizations.

We are grateful to Michael Dingess, Brian Hodges, Daniel Houston, Roland Kaminski, Liu Liu, Miroslaw Truszczynski, Stefan Woltran for the fruitful discussions.

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

Access this chapter

Log in via an institution
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 EPUB and 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

Notes

  1. 1.

    http://www.kr.tuwien.ac.at/research/systems/eq/simpl/index.html.

  2. 2.

    http://dbai.tuwien.ac.at/research/project/lpopt/.

  3. 3.

    https://github.com/mabseher/htd.

  4. 4.

    https://www.unomaha.edu/college-of-information-science-and-technology/natural-language-processing-and-knowledge-representation-lab/software/projector.php.

  5. 5.

    http://groups.inf.ed.ac.uk/ccg/ccgbank.html.

  6. 6.

    The term guards was suggested by Miroslaw Truszczynski.

References

  1. Balduccini, M., Gelfond, M., Nogueira, M.: Answer set based design of knowledge systems. Ann. Math. Artif. Intell. 47(1–2), 183–219 (2006)

    Article  MathSciNet  Google Scholar 

  2. Bichler, M.: Optimizing non-ground answer set programs via rule decomposition. Bachelor thesis. TU Wien (2015)

    Google Scholar 

  3. Bichler, M., Morak, M., Woltran, S.: lpopt: a rule optimization tool for answer set programming. In: Proceedings of International Symposium on Logic-Based Program Synthesis and Transformation (2016)

    Google Scholar 

  4. Brewka, G., Eiter, T., Truszczynski, M.: Answer set programming at a glance. Commun. ACM 54(12), 92–103 (2011)

    Article  Google Scholar 

  5. Buddenhagen, M., Lierler, Y.: Performance tuning in answer set programming. In: Proceedings of the Thirteenth International Conference on Logic Programming and Nonmonotonic Reasoning (LPNMR) (2015)

    Google Scholar 

  6. Calimeri, F., Cozza, S., Ianni, G., Leone, N.: Computable functions in ASP: theory and implementation. In: Proceedings of International Conference on Logic Programming (ICLP), pp. 407–424 (2008)

    Chapter  Google Scholar 

  7. Calimeri, F., Fusca, D., Perri, S., Zangari, J.: I-DLV: the new intelligent grounder of DLV. Intelligenza Artificiale 11(1), 5–20 (2017)

    Article  Google Scholar 

  8. Calimeri, F., Fuscà, D., Perri, S., Zangari, J.: Optimizing answer set computation via heuristic-based decomposition. In: Calimeri, F., Hamlen, K., Leone, N. (eds.) PADL 2018. LNCS, vol. 10702, pp. 135–151. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-73305-0_9

    Chapter  Google Scholar 

  9. Calimeri, F., Gebser, M., Maratea, M., Ricca, F.: Design and results of the fifth answer set programming competition. Artif. Intell. 231, 151–181 (2016). https://doi.org/10.1016/j.artint.2015.09.008. http://www.sciencedirect.com/science/article/pii/S0004370215001447

    Article  MathSciNet  MATH  Google Scholar 

  10. Eiter, T., Fink, M., Tompits, H., Traxler, P., Woltran, S.: Replacements in non-ground answer-set programming. In: Proceedings of International Conference on Principles of Knowledge Representation and Reasoning (KR) (2006)

    Google Scholar 

  11. Eiter, T., Traxler, P., Woltran, S.: An implementation for recognizing rule replacements in non-ground answer-set programs. In: Fisher, M., van der Hoek, W., Konev, B., Lisitsa, A. (eds.) JELIA 2006. LNCS (LNAI), vol. 4160, pp. 477–480. Springer, Heidelberg (2006). https://doi.org/10.1007/11853886_41

    Chapter  Google Scholar 

  12. Faber, W., Leone, N., Mateis, C., Pfeifer, G.: Using database optimization techniques for nonmonotonic reasoning, pp. 135–139 (1999)

    Google Scholar 

  13. Gebser, M., Kaminski, R., Kaufmann, B., Ostrowski, M., Schaub, T., Thiele, S.: A user’s guide to gringo, clasp, clingo, and iclingo (2010). http://potassco.sourceforge.net

  14. Gebser, M., Kaminski, R., Kaufmann, B., Schaub, T.: Challenges in answer set solving. In: Balduccini, M., Son, T.C. (eds.) Logic Programming, Knowledge Representation, and Nonmonotonic Reasoning. LNCS (LNAI), vol. 6565, pp. 74–90. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-20832-4_6

    Chapter  Google Scholar 

  15. Gebser, M., Kaufmann, B., Neumann, A., Schaub, T.: Advanced preprocessing for answer set solving. In: Proceedings of the 2008 Conference on ECAI 2008: 18th European Conference on Artificial Intelligence, pp. 15–19. IOS Press, Amsterdam (2008). http://dl.acm.org/citation.cfm?id=1567281.1567290

  16. Gebser, M., Kaufmann, B., Schaub, T.: Conflict-driven answer set solving: from theory to practice. Artif. Intell. 187, 52–89 (2012)

    Article  MathSciNet  Google Scholar 

  17. Gebser, M., Schaub, T., Thiele, S.: GrinGo: a new grounder for answer set programming. In: Baral, C., Brewka, G., Schlipf, J. (eds.) LPNMR 2007. LNCS (LNAI), vol. 4483, pp. 266–271. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-72200-7_24

    Chapter  Google Scholar 

  18. Lierler, Y.: SAT-based Answer Set Programming. Ph.D. thesis, University of Texas at Austin (2010)

    Google Scholar 

  19. Lierler, Y., Maratea, M., Ricca, F.: Systems, engineering environments, and competitions. AI Mag. 37(3), 45–52 (2016)

    Article  Google Scholar 

  20. Lierler, Y., Schüller, P.: Parsing combinatory categorial grammar via planning in answer set programming. In: Erdem, E., Lee, J., Lierler, Y., Pearce, D. (eds.) Correct Reasoning. LNCS, vol. 7265, pp. 436–453. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-30743-0_30

    Chapter  Google Scholar 

  21. Ricca, F., et al.: Team-building with answer set programming in the Gioia-Tauro seaport. Theory Pract. Logic Program. 12(3), 361–381 (2012)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Nebraska Omaha, Omaha, USA

    Nicholas Hippen & Yuliya Lierler

Authors
  1. Nicholas Hippen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yuliya Lierler
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Nicholas Hippen .

Editor information

Editors and Affiliations

  1. Universidade Nova de Lisboa, Lisbon, Portugal

    José Júlio Alferes

  2. Chalmers University of Technology, Gothenburg, Sweden

    Moa Johansson

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Hippen, N., Lierler, Y. (2019). Automatic Program Rewriting in Non-Ground Answer Set Programs. In: Alferes, J., Johansson, M. (eds) Practical Aspects of Declarative Languages. PADL 2019. Lecture Notes in Computer Science(), vol 11372. Springer, Cham. https://doi.org/10.1007/978-3-030-05998-9_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-05998-9_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05997-2

  • Online ISBN: 978-3-030-05998-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation