Skip to main content

Model Checking for PRS-Like Agents

  • Conference paper
AI 2005: Advances in Artificial Intelligence (AI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3809))

Included in the following conference series:

  • 1740 Accesses

Abstract

The key problem in applying verification techniques such as model checking to agent architectures is to show how to map systematically from an agent program to a model structure that not only includes the possible behaviours of the agent in its environment, but which also captures appropriate mental notions, such as belief, desire and intention, that may be used by the designer to reason about the agent. In this paper, we present an algorithm providing a mapping from agent programs under a simplified PRS-type agent architecture to a reachability graph structure extended to include representations of beliefs, goals and intentions, and illustrate the translation with a simple “waypoint following” agent. We conclude with a brief discussion of the differences between the internal (operational) notion of intention used in the architecture and the formal (external) notion of intention used in the modelling.

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 189.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

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. Bordini, R.H., Fisher, M., Pardavila, C., Wooldridge, M.: Model Checking AgentSpeak. In: Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 409–416 (2003)

    Google Scholar 

  2. Bratman, M.E.: Intention, Plans, and Practical Reason. Harvard University Press, Cambridge (1987)

    Google Scholar 

  3. Cohen, P.R., Levesque, H.J.: Intention is Choice with Commitment. Artificial Intelligence 42, 213–261 (1990)

    Article  MATH  MathSciNet  Google Scholar 

  4. Fagin, R., Halpern, J.Y., Moses, Y., Vardi, M.Y.: Reasoning About Knowledge. MIT Press, Cambridge (1995)

    MATH  Google Scholar 

  5. Georgeff, M.P., Lansky, A.L.: Reactive Reasoning and Planning. In: Proceedings of the Sixth National Conference on Artificial Intelligence (AAAI-1987), pp. 677–682 (1987)

    Google Scholar 

  6. Harel, D.: First-Order Dynamic Logic. Springer, Berlin (1979)

    MATH  Google Scholar 

  7. Holzmann, G.J.: The Model Checker SPIN. IEEE Transactions on Software Engineering 23(5), 279–295 (1997)

    Article  MathSciNet  Google Scholar 

  8. Penczek, W., Lomuscio, A.: Verifying Epistemic Properties of Multi-agent Systems via Bounded Model Checking. In: Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 209–216 (2003)

    Google Scholar 

  9. Raimondi, F., Lomuscio, A.: Verification of Multiagent Systems via Ordered Binary Decision Diagrams: An Algorithm and Its Implementation. In: Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 630–637 (2004)

    Google Scholar 

  10. Rao, A.S.: AgentSpeak(L): BDI Agents Speak Out in a Logical Computable Language. In: Van de Velde, W., Perram, J.W. (eds.) Agents Breaking Away. Springer, Berlin (1996)

    Google Scholar 

  11. Rao, A.S., Georgeff, M.P.: Modeling Rational Agents within a BDI-Architecture. In: Proceedings of the Second International Conference on Principles of Knowledge Representation and Reasoning (KR 1991), pp. 473–484 (1991)

    Google Scholar 

  12. Rao, A.S., Georgeff, M.P.: An Abstract Architecture for Rational Agents. In: Proceedings of the Third International Conference on Principles of Knowledge Representation and Reasoning (KR 1992), pp. 439–449 (1992)

    Google Scholar 

  13. Rao, A.S., Georgeff, M.P.: A Model-Theoretic Approach to the Verification of Situated Reasoning Systems. In: Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, pp. 318–324 (1993)

    Google Scholar 

  14. Rao, A.S., Georgeff, M.P.: Decision Procedures for BDI Logics. Journal of Logic and Computation 8, 293–343 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  15. van der Meyden, R., Shilov, N.V.: Model Checking Knowledge and Time in Systems with Perfect Recall (Extended Abstract). In: Pandu Rangan, C., Raman, V., Ramanujam, R. (eds.) Foundations of Software Technology and Theoretical Computer Science: 19th Conference. Springer, Berlin (1999)

    Google Scholar 

  16. Wobcke, W.R.: An Operational Semantics for a PRS-like Agent Architecture. In: Stumptner, M., Corbett, D., Brooks, M. (eds.) AI 2001: Advances in Artificial Intelligence. Springer, Berlin (2001)

    Google Scholar 

  17. Wobcke, W.R.: Modelling PRS-like Agents’ Mental States. In: Ishizuka, M., Sattar, A. (eds.) PRICAI 2002: Trends in Artificial Intelligence. Springer, Berlin (2002)

    Google Scholar 

  18. Wobcke, W.R.: Model Theory for PRS-Like Agents: Modelling Belief Update and Action Attempts. In: Zhang, C., Guesgen, H.W., Yeap, W.K. (eds.) PRICAI 2004: Trends in Artificial Intelligence. Springer, Berlin (2004)

    Google Scholar 

  19. Wooldridge, M.J.: Reasoning About Rational Agents. MIT Press, Cambridge (2000)

    MATH  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

Wobcke, W., Chee, M., Ji, K. (2005). Model Checking for PRS-Like Agents. In: Zhang, S., Jarvis, R. (eds) AI 2005: Advances in Artificial Intelligence. AI 2005. Lecture Notes in Computer Science(), vol 3809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11589990_5

Download citation

  • DOI: https://doi.org/10.1007/11589990_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30462-3

  • Online ISBN: 978-3-540-31652-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics