Skip to main content

AQL: A Query Language for Action Domains Modelled Using Answer Set Programming

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5753))

Abstract

We present a new general purpose query and abduction language for reasoning about action domains that allows the processing of simultaneous actions, definition of conditions and reasoning about fluents and actions. AQL provides a simple declarative syntax for the specification of constraints on the histories (the combination of action traces and state transitions) within the modelled domain. Its semantics, provided by the translation of AQL queries into Ans-Prolog, acquires the benefits of the reasoning power provided by Answer Set Programming (ASP). The answer sets obtained from combining the query and the domain description correspond to those histories of the domain changing over time that satisfy the query. The result is a simple, high-level query and constraint language that builds on ASP. Through the synthesis of features it offers a more flexible, versatile and intuitive approach compared to existing languages. Due to the use of ASP, AQL can also be used to reason about partial histories.

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   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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Baral, C.: Knowledge Representation, Reasoning and Declarative Problem Solving. Cambridge University Press, Cambridge (2003)

    Book  MATH  Google Scholar 

  2. Calvanese, D., Vardi, M.Y.: Reasoning about actions and planning in LTL action theories. In: Proc. KR 2002 (2002)

    Google Scholar 

  3. Eiter, T., Faber, W., Leone, N., Pfeifer, G., Polleres, A.: The DLVK Planning System. In: Flesca, S., Greco, S., Leone, N., Ianni, G. (eds.) JELIA 2002. LNCS (LNAI), vol. 2424, pp. 541–544. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  4. Giunchiglia, E., Lee, J., Lifschitz, V., McCain, N., Turner, H.: Nonmonotonic causal theories. Artificial Intelligence 153, 49–104 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  5. Gelfond, M., Lifschitz, V.: Action languages. Electron. Trans. Artif. Intell. 2, 193–210 (1998)

    MathSciNet  Google Scholar 

  6. Giunchiglia, E., Lifschitz, V.: An action language based on causal explanation: preliminary report. In: AAAI 1998/IAAI 1998, pp. 623–630. American Association for Artificial Intelligence (1998)

    Google Scholar 

  7. Vladimir, L.: Action languages, answer sets and planning. In: The Logic Programming Paradigm: a 25-Year perspective, pp. 357–373. Springer, Heidelberg (1999)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hopton, L., Cliffe, O., De Vos, M., Padget, J. (2009). AQL: A Query Language for Action Domains Modelled Using Answer Set Programming. In: Erdem, E., Lin, F., Schaub, T. (eds) Logic Programming and Nonmonotonic Reasoning. LPNMR 2009. Lecture Notes in Computer Science(), vol 5753. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04238-6_39

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-04238-6_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04237-9

  • Online ISBN: 978-3-642-04238-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics