Skip to main content

Temporal Enhancements of an HTN Planner

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4177))

Abstract

This paper presents some enhancements in the temporal reasoning of a Hierarchical Task Network (HTN) planner, named SIADEX, that, up to authors knowledge, no other HTN planner has. These new features include a sound partial order metric structure, deadlines, temporal landmarking or synchronization capabilities built on top of a Simple Temporal Network [3].

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. Allen, J.F.: Maintaining knowledge about temporal intervals. Comm. ACM 26(1), 832–843 (1983)

    Article  MATH  Google Scholar 

  2. de la Asunción, M., Castillo, L., Fdez-Olivares, J., García-Pérez, O., González, A., Palao, F.: Siadex: an interactive artificial intelligence planner for decision support and training in forest fire fighting. Artificial Intelligence Communications 18(4) (2005)

    Google Scholar 

  3. Dechter, R.: Constraint processing. Morgan Kaufmann, San Francisco (2003)

    Google Scholar 

  4. Edelkamp, S., Hoffmann, J.: The language for the 2004 international planning competition (2004), http://ls5-www.cs.uni-dortmund.de/edelkamp/ipc-4/pddl.html

  5. Fox, M., Long, D.: Domains of the 3rd. international planning competition. In: Artificial Intelligence Planning Systems, AIPS 2002 (2002)

    Google Scholar 

  6. Gil, Y., Blythe, J.: PLANET: A shareable and reusable ontology for representing plans. In: AAAI 2000 workshop on representational issues for real-world planning systems (2000)

    Google Scholar 

  7. McIlraith, S.A.: Integrating actions and state constraints: A closed-form solution to the ramification problem (sometimes). Artificial Intelligence Journal, 87–121 (2000)

    Google Scholar 

  8. Nau, D., Au, T.C., Ilghami, O., Kuter, U., Murdock, J.W., Wu, D., Yaman, F.: SHOP2: An HTN Planning System. Journal of Artificial Intelligence Research 20, 379–404 (2003)

    MATH  Google Scholar 

  9. Wilkins, D.E.: Practical planning: Extending the classical AI planning paradigm. Morgan Kaufmann, San Francisco (1988)

    Google Scholar 

  10. Wilkins, D.E., des Jardins, M.: A call for knowledge-based planning. AI Magazine 22(1), 99–115 (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Castillo, L., Fdez-Olivares, J., García-Pérez, Ó., Palao, F. (2006). Temporal Enhancements of an HTN Planner. In: Marín, R., Onaindía, E., Bugarín, A., Santos, J. (eds) Current Topics in Artificial Intelligence. CAEPIA 2005. Lecture Notes in Computer Science(), vol 4177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881216_45

Download citation

  • DOI: https://doi.org/10.1007/11881216_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45914-9

  • Online ISBN: 978-3-540-45915-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics