Skip to main content

An A-Prolog Decision Support System for the Space Shuttle

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1990))

Abstract

The goal of this paper is to test if a programming methodology based on the declarative language A-Prolog and the systems for computing answer sets of such programs, can be successfully applied to the development of medium size knowledge-intensive applications. We report on a successful design and development of such a system controlling some of the functions of the Space Shuttle.

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

Buying options

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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. F. Bacchus and F. Kabanza. Planning for Temporally Extended Goals. Annals of Mathematics and Artificial Intelligence, 22:1–2, 5-27, 1998.

    Article  MathSciNet  Google Scholar 

  2. M. Balduccini, M. Gelfond and M. Nogueira. A-Prolog as a tool for declarative programming. In Proceedings of the 12th International Conference on Software Engineering and Knowledge Engineering (SEKE’2000), 63–72, 2000.

    Google Scholar 

  3. M. Balduccini, M. Gelfond and M. Nogueira. Digital Circuits in A-Prolog. Technical Report, University of Texas at El Paso, 2000.

    Google Scholar 

  4. M. Barry and R. Watson. Reasoning about actions for spacecraft redundancy management. In Proceedings of the 1999 IEEE Aerospace Conference, 5:101–112, 1999.

    Google Scholar 

  5. P. Cholewinski, W. Marek and M. Truszczyński. Default Reasoning System DeReS. In International Conference on Principles of Knowledge Representation and Reasoning, 518–528. Morgan Kauffman, 1996.

    Google Scholar 

  6. S. Citrigno, T. Eiter, W. Faber, G. Gottlob, C. Koch, N. Leone, C. Mateis, G. Pfeifer and F. Scarcello. The dlv system: Model generator and application frontends. In Proceedings of the 12th Workshop on Logic Programming, 128–137, 1997.

    Google Scholar 

  7. G. De Micheli. Synthesis and Optimization of Digital Circuits. McGraw-Hill Series in Electrical and Computer Engineering, 1994.

    Google Scholar 

  8. Y. Dimopoulos, B. Nebel, and J. Koehler. Encoding planning problems in nonmonotonic logic programs. Lecture Notes in Artificial Intelligence-Recent Advances in AI Planning, Proceedings of the 4th European Conference on Planning, ECP’97, 1348:169–181, 1997.

    Google Scholar 

  9. E. Erdem and V. Lifschitz. Transitive Closure, Answer Sets and Predicate Completion. Submitted for publication, 2000.

    Google Scholar 

  10. A. Finzi, F. Pirri and R. Reiter. Open World Planning in the Situation Calculus. 17th National Conference of Artificial Intelligence (AAAI’00), 754–760, 2000.

    Google Scholar 

  11. M. Gelfond and A. Gabaldon. From Functional Specifications to Logic Programs. In Proceedings of the International Logic Programming Symposium (ILPS’97), 1997.

    Google Scholar 

  12. M. Gelfond and V. Lifschitz. The Stable Model Semantics for Logic Programs. In Proceedings of the 5th International Conference on Logic Programming, 1070–1080, 1988.

    Google Scholar 

  13. M. Gelfond and V. Lifschitz. Classical Negation in Logic Programs and Disjunctive Databases. New Generation Computing, 9(3/4):365–386, 1991.

    Article  Google Scholar 

  14. M. Gelfond and V. Lifschitz. Representing Actions and Change by Logic Programs. Journal of Logic Programming, 17:301–323, 1993.

    Article  MATH  MathSciNet  Google Scholar 

  15. M. Gelfond and V. Lifschitz. Action languages. Electronic Transactions on AI, 3(16), 1998.

    Google Scholar 

  16. M. Gelfond, and R. Watson. On methodology for representing knowledge in dynamic domains. In Proceedings of the 1998 ARO/ONR/NSF/DARPA Monterey Workshop on Engineering Automation for Computer Based Systems, 57–66, 1999.

    Google Scholar 

  17. Y. Huang, H. Kautz and B. Selman. Control Knowledge in Planning: Benefits and Tradeoffs. 16th National Conference of Artificial Intelligence (AAAI’99), 511–517, 1999.

    Google Scholar 

  18. H. Kautz and B. Selman. The Role of Domain-Specific Knowledge in the Planning as Satisfiability Framework. In Proceedings of AIPS’98, 1998.

    Google Scholar 

  19. Z. Kohavi. Switching and Finite Automata Theory. McGraw-Hill CS Series, 1978.

    Google Scholar 

  20. V. Lifschitz. Action languages, Answer Sets, and Planning. In The Logic Programming Paradigm: a 25-Year Perspective, 357–373. Spring-Verlag, 1999.

    Google Scholar 

  21. N. McCain and H. Turner. A causal theory of ramifications and qualifications. In Proceedings of IJCAI’95, 1978–1984, 1995.

    Google Scholar 

  22. N. McCain and H. Turner. Causal theories of action and change. In 14th National Conference of Artificial Intelligence (AAAI’97), 460–465, 1997.

    Google Scholar 

  23. R. Moore. Semantical considerations on nonmonotonic logic. Artificial Intelligence, 25(1):75–94, 1985.

    Article  MATH  MathSciNet  Google Scholar 

  24. I. Niemelä, and P. Simons. Smodels-an implementation of the stable model and well-founded semantics for normal logic programs. In Proceedings of the 4th International Conference on Logic Programming and Non-Monotonic Reasoning, 420–429, 1997.

    Google Scholar 

  25. R. Reiter. A logic for default reasoning. Artificial Intelligence, 13(1,2):81–132, 1980.

    Article  MATH  MathSciNet  Google Scholar 

  26. H. Turner. Representing actions in logic programs and default theories: A situation calculus approach. Journal of Logic Programming, Vol. 31, No. 1–3, 245–298, 1997.

    Article  MATH  MathSciNet  Google Scholar 

  27. R. Watson. An application of action theory to the space shuttle. Lecture Notes in Computer Science-Procs of Practical Aspects of Declarative Languages’ 99, 1551:290–304, 1999.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Nogueira, M., Balduccini, M., Gelfond, M., Watson, R., Barry, M. (2001). An A-Prolog Decision Support System for the Space Shuttle. In: Ramakrishnan, I.V. (eds) Practical Aspects of Declarative Languages. PADL 2001. Lecture Notes in Computer Science, vol 1990. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45241-9_12

Download citation

  • DOI: https://doi.org/10.1007/3-540-45241-9_12

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41768-2

  • Online ISBN: 978-3-540-45241-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics