Skip to main content

Agent UML Class Diagrams Revisited

  • Conference paper
  • First Online:
Agent Technologies, Infrastructures, Tools, and Applications for E-Services (NODe 2002)

Abstract

Agent UML is a graphical modeling language based on UML. Like UML, Agent UML provides several types of representation covering the description of the system, the components, the dynamics of the system and the deployment. Multiagent system designers already use Agent UML to represent interaction protocols [13],[2]. Since agents and objects differ on several points, UML class diagram has to be modified for describing agents. The aim of this paper is to present how to extend UML class diagrams in order to represent agents. We then compare our approach to Bauer’s approach [1].

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. B. Bauer. UML class diagrams revisited in the context of agent-based systems. In M. Wooldridge, P. Ciancarini, and G. Weiss, editors, Proceedings of Agent-Oriented Software Engineering (AOSE 01), number 2222 in LNCS, pages 1–8, Montreal, Canada, May 2001. Springer-Verlag.

    Google Scholar 

  2. B. Bauer, J. P. Müller, and J. Odell. An extension of UML by protocols for multiagent interaction. In International Conference on MultiAgent Systems (ICMAS’00), pages 207–214, Boston, Massachussetts, july, 10-12 2000.

    Google Scholar 

  3. G. Booch, J. Rumbaugh, and I. Jacobson. The Unified Modeling Language User Guide. Addison-Wesley, Reading, Massachusetts, USA, 1999.

    Google Scholar 

  4. P. Bresciani and F. Sannicolo. Requirements analysis in tropos: A self referencing example. In In this volume.

    Google Scholar 

  5. Y. Demazeau. Steps towards multi-agent oriented programming. slides Workshop, 1st International Workshop on Multi-Agent Systems, IWMAS’ 97, October 1997.

    Google Scholar 

  6. Y. Demazeau. VOYELLES. Habilitation á diriger les recherches, Institut National Polytechnique de Grenoble, Grenoble, avril 2001.

    Google Scholar 

  7. K. Fernandes and M. Occello. A recursive approach to build hybrid multi-agent systems. In III Iberoamerican Workshop on Distributed Artificial Intelligence and Multi-Agent Systems, SBIA/IBERAMIA, Sao Paulo, Brazil, November 2000.

    Google Scholar 

  8. D. Harel. Statecharts: A visual formalism for complex systems. Science of Computer Programming, 8:231–274, 1987.

    Article  MATH  MathSciNet  Google Scholar 

  9. M.-P. Huget. Design agent interaction as a service to agents. In M.-P. Huget, F. Dignum, and J.-L. Koning, editors, AAMAS Workshop on Agent Communication Languages and Conversation Policies (ACL2002), Bologna, Italy, July 2002.

    Google Scholar 

  10. C. A. Iglesias, M. Garijo, and J. C. Gonzalez. A survey of agent-oriented methodologies. 1999.

    Google Scholar 

  11. J. Müller. The Design of Intelligent Agents-a layered approach. Number LNAI 1177 in Lecture Notes in Artificial Intelligence. Springer-Verlag, Berlin, 1996.

    Google Scholar 

  12. J. Odell. Objects and agents compared. Journal of Object Computing, 1(1), May 2002.

    Google Scholar 

  13. J. Odell, H. V. D. Parunak, and B. Bauer. Extending UML for agents. In G. Wagner, Y. Lesperance, and E. Yu, editors, Proceedings of the Agent-Oriented Information Systems Workshop at the 17th National conference on Arti.cial Intelligence, Austin, Texas, july, 30 2000. ICue Publishing.

    Google Scholar 

  14. J. Swaminathan, S. Smith, and N. Sadeh-Koniecpol. Modeling supply chain dynamics: A multiagent approach. Decision Sciences, April 1997.

    Google Scholar 

  15. M. Wooldridge. Reasoning about Rational Agents. MIT Press, 2000.

    Google Scholar 

  16. M. Wooldridge, N. R. Jennings, and D. Kinny. The Gaia methodology for agentoriented analysis and design. Journal of Autonomous Agents and Multi-Agent Systems, 3(3):285–312, 2000.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Huget, MP. (2003). Agent UML Class Diagrams Revisited. In: Carbonell, J.G., Siekmann, J., Kowalczyk, R., Müller, J.P., Tianfield, H., Unland, R. (eds) Agent Technologies, Infrastructures, Tools, and Applications for E-Services. NODe 2002. Lecture Notes in Computer Science(), vol 2592. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36559-1_6

Download citation

  • DOI: https://doi.org/10.1007/3-540-36559-1_6

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00742-5

  • Online ISBN: 978-3-540-36559-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics