Skip to main content

Induction of the Indirect Effects of Actions by Monotonic Methods

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3625))

Abstract

In [1] a method for inducing the effects of actions was introduced which provides a solution to the frame problem in induction. The method relied on well-known monotonic methods of ILP making it as efficient as induction of Horn Logic Programs. That proposal is not intended for the induction of the ramifications of the effects of actions (indirect effects) thus providing domain descriptions with the so-called ramification problem. In this work we introduce the induction of such ramification rules describing effects directly from other effects without mentioning the action. A framework based on causality in action formalisms is used to induce causal ramification rules. The method is shown sound and complete while efficient as the induction of action rules.

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. Otero, R.: Induction of the effects of actions by monotonic methods. In: Horváth, T., Yamamoto, A. (eds.) ILP 2003. LNCS (LNAI), vol. 2835, pp. 299–310. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  2. Gelfond, M., Lifschitz, V.: The stable model semantics for logic programming. In: Kowalski, R., Bowen, K. (eds.) Logic Programming: Proc. of the Fifth Int’l Conf. and Symp., pp. 1070–1080 (1988)

    Google Scholar 

  3. Lifschitz, V.: Action languages, answers sets and planning. Artificial Intelligence 13, 245–286 (1995)

    MathSciNet  Google Scholar 

  4. Lin, F.: Embracing causality in specifying the indirect effects of actions. In: Proc. of the 14th International Joint Conference on Artificial Intelligence, IJCAI 1995, pp. 1985–1991 (1995)

    Google Scholar 

  5. Otero, R.P.: Pertinence logic for reasoning about actions and change. Technical Report TR-AI-97-03, AILab, University of Corunna, Galicia, Spain (1997)

    Google Scholar 

  6. Otero, R.: Induction of stable models. In: Rouveirol, C., Sebag, M. (eds.) ILP 2001. LNCS (LNAI), vol. 2157, pp. 193–205. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  7. Muggleton, S., Feng, C.: Efficient induction of logic programs. Inductive Logic Programming (1992)

    Google Scholar 

  8. Kietz, J.: Some lower bounds on the computational complexity of inductive logic programming. In: Brazdil, P.B. (ed.) ECML 1993. LNCS, vol. 667, pp. 115–123. Springer, Heidelberg (1993)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Otero, R.P. (2005). Induction of the Indirect Effects of Actions by Monotonic Methods. In: Kramer, S., Pfahringer, B. (eds) Inductive Logic Programming. ILP 2005. Lecture Notes in Computer Science(), vol 3625. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11536314_17

Download citation

  • DOI: https://doi.org/10.1007/11536314_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28177-1

  • Online ISBN: 978-3-540-31851-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics