Skip to main content

On Modeling Formalisms for Automated Planning

  • Conference paper
Artificial Intelligence: Methodology, Systems, and Applications (AIMSA 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8722))

  • 1337 Accesses

Abstract

Knowledge engineering for automated planning is still in its childhood and there has been little work done on how to model planning problems. The prevailing approach in the academic community is using the PDDL language that originated in planning competitions. In contrast, real applications require more modeling flexibility and different modeling languages were designed in order to allow efficient planning. This paper focuses on the role of a domain modeling formalism as an interface between a domain modeler and a planner.

This work is supported by the Czech Science Foundation under the project No. P103/10/1287.

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 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Barreiro, J., Boyce, M., Do, M., Frank, J., Iatauro, M., Kichkaylo, T., Morris, P., Ong, J., Remolina, E., Smith, T., Smith, D.: EUROPA: A Platform for AI Planning, Scheduling, Constraint Programming, and Optimization. In: Proc. of ICKEPS (2012)

    Google Scholar 

  2. Barták, R., Zhou, N.-F.: On Modeling Planning Problems: Experience from the Petrobras Challenge. In: Castro, F., Gelbukh, A., González, M. (eds.) MICAI 2013, Part II. LNCS, vol. 8266, pp. 466–477. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  3. Gerevini, A., Long, D.: BNF Description of PDDL 3.0, http://www.cs.yale.edu/homes/dvm/papers/pddl-bnf.pdf

  4. Parkinson, S., Longstaff, A.P.: Increasing The numeric Expressiveness of the Planning Domain Definition Language. In: Workshop of the UK PlanSIG (2012)

    Google Scholar 

  5. Smith, D., Frank, J., Cushing, W.: The ANML Language. In: International Conference on Automated Planning and Schedulling - Poster Session (2008)

    Google Scholar 

  6. Vaquero, T.S., Costa, G., Tonidandel, F., Igreja, H., Silva, J.R., Beck, J.C.: Planning and Scheduling Ship Operations on Petroleum Ports and Platforms. In: Proceedings of the Schedulling and Planning Aplications Workshop (2012)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Vodrážka, J., Barták, R. (2014). On Modeling Formalisms for Automated Planning. In: Agre, G., Hitzler, P., Krisnadhi, A.A., Kuznetsov, S.O. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2014. Lecture Notes in Computer Science(), vol 8722. Springer, Cham. https://doi.org/10.1007/978-3-319-10554-3_28

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-10554-3_28

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10553-6

  • Online ISBN: 978-3-319-10554-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics