Skip to main content

Planning with Abduction: A Logical Framework to Explore Extensions to Classical Planning

  • Conference paper
Advances in Artificial Intelligence – SBIA 2004 (SBIA 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3171))

Included in the following conference series:

Abstract

In this work we show how a planner implemented as an abductive reasoning process can have the same performance and behavior as classical planning algorithms. We demonstrate this result by considering three different versions of an abductive event calculus planner on reproducing some important comparative analyses of planning algorithms found in the literature. We argue that a logic-based planner, defined as the application of general purpose theorem proving techniques to a general purpose action formalism, can be a very solid base for the research on extending the classical planning approach.

This work has been supported by the Brazilian sponsoring agencies Capes and CNPq.

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. Green, C.: Application of theorem proving to problem solving. In: International Joint Conference on Artificial Intelligence, pp. 219–239. Morgan Kaufmann, San Francisco (1969)

    Google Scholar 

  2. Eshghi, K.: Abductive planning with event calculus. In: Proc.of the 5th International Conference on Logic Programming, pp. 562–579. MIT Press, Cambridge (1988)

    Google Scholar 

  3. Missiaen, L., Bruynooghe, M., Denecker, M.: Chica, an abductive planning system based on event calculus (1994)

    Google Scholar 

  4. Shanahan, M.P.: An abductive event calculus planner. The Journal of Logic Programming 44, 207–239 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  5. Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach, 2nd edn. Prentice-Hall, Englewood Cliffs (2003)

    Google Scholar 

  6. Shanahan, M.: A circumscriptive calculus of events. Artificial Intelligence 77, 249–284 (1995)

    Article  MATH  MathSciNet  Google Scholar 

  7. Kakas, A.C., Kowalski, R.A., Toni, F.: Abductive logic programming. Journal of Logic and Computation 2, 719–770 (1992)

    Article  MATH  MathSciNet  Google Scholar 

  8. Knoblock, C., Yang, Q.: Evaluating the tradeoffs in partial-order planning algorithms (1994)

    Google Scholar 

  9. Kambhampati, S., Knoblock, C.A., Yang, Q.: Planning as refinement search: A unified framework for evaluating design tradeoffs in partial-order planning. Artificial Intelligence 76, 167–238 (1995)

    Article  Google Scholar 

  10. Peirce, C.S.: Collected Papers of Charles Sanders Peirce. Harvard University Press, Cambridge (1958)

    Google Scholar 

  11. Cox, P.T., Pietrzykowski, T.: Causes for events: their computation and applications. In: Proc. of the 8th international conference on Automated deduction, pp. 608–621. Springer, New York (1986)

    Google Scholar 

  12. Kowalski, R.A., Sergot, M.J.: A logic-based calculus of events. New Generation Computing 4, 67–95 (1986)

    Article  Google Scholar 

  13. Santos, P.E.: Formalising the common sense of a mobile robot (1998)

    Google Scholar 

  14. Shanahan, M.P.: Solving the Frame Problem: A Mathematical Investigation of the Common Sense Law of Inertia. MIT Press, Cambridge (1997)

    Google Scholar 

  15. Barrett, A., Weld, D.S.: Partial-order planning: Evaluating possible efficiency gains. Artificial Intelligence 67, 71–112 (1994)

    Article  MATH  MathSciNet  Google Scholar 

  16. MacAllester, D., Rosenblitt, D.: Systematic nonlinear planning. In: Proc. 9th National Conference on Artificial Intelligence, pp. 634–639. MIT Press, Cambridge (1991)

    Google Scholar 

  17. Chapman, D.: Planning for conjunctive goals. Artificial Intelligence 32, 333–377 (1987)

    Article  MATH  MathSciNet  Google Scholar 

  18. Pereira, S.L., Barros, L.N.: Efficiency in abductive planning. In: Proceedings of 2nd Congress of Logic Applied to Technology, Senac, São Paulo, pp. 213–222 (2001)

    Google Scholar 

  19. Pereira, S.L.: Abductive Planning in the Event Calculus. Master Thesis, Institute of Mathematics and Statistics - University of Sao Paulo (2002)

    Google Scholar 

  20. Kambhampati, S.: On the utility of systematicity: Understanding tradeoffs between redundancy and commitment in partial-ordering planning. In: Foundations of Automatic Planning: The Classical Approach and Beyond: Papers from the 1993 AAAI Spring Symposium, Menlo Park, California, pp. 67–72. AAAI Press, Menlo Park (1993)

    Google Scholar 

  21. Barros, L.N., Pereira, S.L.: High-level robot programs based on abductive event calculus. In: Proceedings of 3rd International Cognitive Robotics Workshop (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

do Lago Pereira, S., de Barros, L.N. (2004). Planning with Abduction: A Logical Framework to Explore Extensions to Classical Planning. In: Bazzan, A.L.C., Labidi, S. (eds) Advances in Artificial Intelligence – SBIA 2004. SBIA 2004. Lecture Notes in Computer Science(), vol 3171. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28645-5_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-28645-5_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23237-7

  • Online ISBN: 978-3-540-28645-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics