Skip to main content

The CoMoMAS methodology and environment for multi-agent system development

  • Conference paper
  • First Online:
Book cover Multi-Agent Systems Methodologies and Applications (DAI 1996)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1286))

Included in the following conference series:

Abstract

This paper presents the CoMoMAS methodology and environment for the development of multi-agent systems. We use a conceptual model set to describe a multi-agent system under different views. These models are derived from the knowledge-engineering methodology CommonKADS. In contrast to CommonKADS, our approach takes several agent-specific aspects into consideration, in particular, the use of additional knowledge structures and their flexible representation to guarantee an agent's autonomy at execution time. A knowledge engineering environment has been conceived to demonstrate the feasibility of this conceptual approach. Conceptual models are represented in an extended version of the Conceptual Modeling Language (CML).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Thomas Berlage. Object-oriented application frameworks for graphical user interfaces: the GINA perspective. Gesellschaft für Mathematik und Datenverarbeitung, München, Wien, Oldenbourg, 1993.

    Google Scholar 

  2. F. Brazier, B. Dunin-Keplicz, N. Jennings, and J. Treur. Formal specification of multi-agent systems: a real-world case. In Proc. 1 st ICMAS, San Francisco, California, 1995.

    Google Scholar 

  3. F.M.T. Brazier, C.M. Jonker, and J. Treur. Formalisation of a cooperation model based on joint intentions. In ECAI-96 workshop on ATAL, pages 141–155, Budapest, Hungary, 1996. LNAI Series, 1193.

    Google Scholar 

  4. R.A. Brooks. Intelligence without reason. A.I. Memo 1293, MIT, AI Lab., 1991.

    Google Scholar 

  5. R. Conte and C. Castelfranchi. Cognitive and Social Action. UCL Press, 1995.

    Google Scholar 

  6. O. Corby and R. Dieng. Cokace: A centaur-based environment for commonkads conceptual modelling language. In Proc. 12 th ECAI, pages 418–422, Budapest, Hungary, 1996.

    Google Scholar 

  7. J. Cuena. Knowledge-oriented application development: Lessons learnt from real-time decision support systems. In Proc. 12 th ECAI, pages 711–714, Budapest, Hungary, 1996.

    Google Scholar 

  8. W. Van de Velde. Design model and process. Technical Report KADS-II/M7/VUB/RR/064/2.1, ESPRIT Project P5248 KADS-II, 1994.

    Google Scholar 

  9. R. Dieng. Agent-based knowledge acquisition. In Proc. 8 th European Knowledge Acquisition Workshop, pages 63–82, Hoegaarden, Belgium, 1994.

    Google Scholar 

  10. M. D'Inverno and M. Luck. Formalising the contract net as a goal-directed system. In Proc. 7 th MAAMAW, pages 72–85, Eindhoven (NL), 1996. LNAI Series, 1038.

    Google Scholar 

  11. J. Ferber and A. Drogoul. Using reactive multi-agent systems in simulation and problem solving. In N.M. Avouris and L. Gasser, editors, Distributed Artificial Intelligence: Theory and Practise, pages 52–80. Kluwer Academic Publishers, 1992.

    Google Scholar 

  12. K. Fischer, J.P. Müller, M. Pischel, and D. Schier. A model for cooperative transportation scheduling. In Proc. 1 st ICMAS, pages 109–116, San Francisco, California, 1995.

    Google Scholar 

  13. S. Franklin and A. Graesser. Is it an agent, or just a program?: A taxonomy for autonomous agents. In ECAI-96 workshop on ATAL, pages 21–36, Budapest, Hungary, 1996. LNAI Series, 1193.

    Google Scholar 

  14. N. Glaser. Contribution to Knowledge Acquisition and Modelling in a Multi-Agent Framework — The CoMoMAS Approach. PhD thesis, U. Henri Poincaré, Nancy I, 1996.

    Google Scholar 

  15. N. Glaser, V. Chevrier, and J.-P. Haton. Multi-agent modeling for autonomous but cooperative robots. In Proc. 1 st DIMAS, pages 175–182, Cracow, Poland, 1995.

    Google Scholar 

  16. N. Glaser and J.-P. Haton. Flexible and adaptive problem-solving in robot navigation. In Proc. 1 st DIMAS, pages 167–174, Cracow, Poland, 1995.

    Google Scholar 

  17. N. Glaser, M.-C. Haton, and J.-P. Haton. Models and knowledge acquisition cycles for multi-agent systems. In Proc. of 9 th KAW, pages 24/0–20, Banff (CAN), 1995.

    Google Scholar 

  18. N. Glaser and Ph. Morignot. The reorganization of societies of autonomous agents. In Proc. 8 th MAAMAW, Ronneby (S), 1997. LNAI Series. (forthcoming).

    Google Scholar 

  19. J.P. Haton, N. Bouzid, F. Charpillet, M.C. Haton, B. Lâasri, H. Lâasri, P. Marquis, T. Mondot, and A. Napoli. Le raisonnement en intelligence Artificielle. Inter-edition, 1991.

    Google Scholar 

  20. B. Hayes-Roth, K. Pfleger, Ph. Lalanda, Ph. Morignot, and M. Balabanovic. A domain-specific software architecture for adaptive intelligent systems. IEEE Transactions on Software Engineering, v(n), 1995.

    Google Scholar 

  21. C.A. Iglesias, M. Garijo, J.C. Gonzàlez, and J.R. Velasco. A methodological proposal for multiagent systems development extending commonkads. In Proc. of 10 th KAW, Banff (CAN), 1996.

    Google Scholar 

  22. E.A. Kendall, M.T. Malkoun, and C.H. Jiang. A methodology for developing agent based systems. In Distributed Artificial Intelligence — First Australian Workshop on DAI, pages 85–99, Canberra, November 1995. Lecture Notes in Computer Science.

    Google Scholar 

  23. D. Kinny and M. Georgeff. Modelling and design of multi-agent system. In ECAI-96 workshop on ATAL, pages 1–20, Budapest, Hungary, 1996. LNAI Series, 1193.

    Google Scholar 

  24. M. Luck and M. D'Inverno. A formal framework for agency and autonomy. In Proc. 1 st ICMAS, San Francisco, California, 1995.

    Google Scholar 

  25. M.J. Matarić. Interaction and Intelligent Behavior. PhD thesis, Massachusetts Institute of Technology, 1994.

    Google Scholar 

  26. T.A. Montgomery and E.H. Durfee. Using MICE to study intelligent dynamic coordination. In Proc. 2 nd IEEE Conf. on Tools for AI, pages 438–444, 1990.

    Google Scholar 

  27. A. Newell. The knowledge level. Artificial Intelligence, 18:87–127, 1982.

    Google Scholar 

  28. G. Schreiber, J. Breuker, B. Biedeweg, and B.J. Wielinga, editors. KADS — A Principled Approach to Knowledge-Based System Development. Academic Press, 1993.

    Google Scholar 

  29. G. Schreiber, B.J. Wielinga, J.M. Akkermans, W. Van de Velde, and A. Anjewierden. CML: The CommonKADS conceptual modelling language. In Proc. 8 th European Knowledge Acquisition Workshop, pages 1–25, Hoegaarden, Belgium, 1994. LNAI Series, 867.

    Google Scholar 

  30. G. Schreiber, B.J. Wielinga, R. de Hoog, H. Akkermans, and W. Van de Velde. Commonkads: A comprehensive methodology for KBS development. IEEE Expert, 9(6):28–37, 1994.

    Google Scholar 

  31. From Agent Theory to Agent Construction: A Case Study. M. luck and n. griffiths and m. d'inverno. In ECAI-96 workshop on ATAL, pages 50–63, Budapest, Hungary, 1996. LNAI Series, 1193.

    Google Scholar 

  32. A. Waern and S. Gala. The CommonKADS agent model. Technical Report KADS-II/M4/TR/SICS/002/V.1.1, ESPRIT Project P5248 KADS-II, 1993.

    Google Scholar 

  33. M. Woolridge and N.R. Jennings. Agent theories, architectures, and languages: A survey. In Proc. Workshop 7 at 11 th ECAI, pages 1–32, Amsterdam (NL), 1994.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Chengqi Zhang Dickson Lukose

Rights and permissions

Reprints and permissions

Copyright information

© 1997 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Glaser, N. (1997). The CoMoMAS methodology and environment for multi-agent system development. In: Zhang, C., Lukose, D. (eds) Multi-Agent Systems Methodologies and Applications. DAI 1996. Lecture Notes in Computer Science, vol 1286. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0030078

Download citation

  • DOI: https://doi.org/10.1007/BFb0030078

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63412-6

  • Online ISBN: 978-3-540-69540-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics