Skip to main content

Improving AOSE with an Enriched Modelling Framework

  • Conference paper
  • 305 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 3950))

Abstract

We describe an approach to the development of a complex social care system that defines specific steps along the path to MAS implementation. In particular we explore the use of conceptual knowledge modelling techniques by means of conceptual graphs and a transactions-based architecture for model verification during requirements gathering, together with a translation to AUML for design specification, and propose a rigorous framework to enrich and extend existing AOSE methodologies. The resulting output from Transaction Agent Modelling (TrAM) can then be developed further using the agent development toolkit of choice.

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   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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Müller, J.P., Bauer, B., Odell, J.J.: Agent UML: A Formalism for Specifying Multiagent Software Systems. In: Ciancarini, P., Wooldridge, M.J. (eds.) AOSE 2000. LNCS, vol. 1957, pp. 91–104. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  2. Bench-Capon, T.J.M., Beer, M.D., Sixsmith, A.: Some Issues in Managing Dialogues between Information Agents. In: Bench-Capon, T.J.M., Soda, G., Tjoa, A.M. (eds.) DEXA 1999. LNCS, vol. 1677, pp. 521–530. Springer, Heidelberg (1999)

    Chapter  Google Scholar 

  3. Beer, M.D., Huang, W., Sixsmith, A.: Using Agents to Build a Practical Implementation of the INCA (Intelligent Community Alarm) System. In: Jain, L.C., Chen, Z., Ichalkaranje, N. (eds.) Intelligent Agents & their Applications, pp. 320–345. Springer, Heidelberg (2002)

    Google Scholar 

  4. Bresciani, P., Giorgini, P., Giunchiglia, F., Mylopoulos, J., Perini, A.: TROPOS: An Agent-Oriented Software Development Methodology. Journal of Autonomous Agents and Multi-Agent Systems 8, 203–236 (2004)

    Article  MATH  Google Scholar 

  5. Dau, F.: The Logic System of Concept Graphs with Negation. LNCS (LNAI), vol. 2892. Springer, Heidelberg (2003)

    MATH  Google Scholar 

  6. DeLoach, S.: Multi-Agent Systems Engineering: A Methodology and Language for Designing Agent Systems (1999), citeseer.ist.psu.edu/deloach99multiagent.html

  7. Foundation for Intelligent Physical Agents: FIPA Iterated Contract Net Interaction Protocol Specification (November 21, 2000) (accessed 2005), http://www.fipa.org/specs/fipa00030/PC00030D.html

  8. Fuxman, A., Kazhamiakin, R., Pistore, M., Roveri, M.: Formal Tropos: language and semantics (Version 1.0) (November 4, 2003) (accessed 2005), http://www.dit.unitn.it/~ft/papers/ftsem03.pdf

  9. Geerts, G., McCarthy, W.: Database Accounting Systems. In: Williams, B., Sproul, B.J. (eds.) Information Technology Perspectives in Accounting: and Integrated Approach, pp. 159–183. Chapman and Hall Publishers, Boca Raton (1991)

    Google Scholar 

  10. Georgeff, M.P., Pell, B., Pollack, M.E., Tambe, M., Wooldridge, M.: The Belief-Desire-Intention Model of Agency. In: Rao, A.S., Singh, M.P., Müller, J.P. (eds.) ATAL 1998. LNCS (LNAI), vol. 1555, pp. 1–10. Springer, Heidelberg (1999)

    Chapter  Google Scholar 

  11. Hill, R., Polovina, S., Beer, M.D.: Towards a Deployment Framework for Agent-Managed Community Healthcare Transactions. In: The Second Workshop on Agents Applied in Health Care. Proceedings of the 16th European Conference on Artificial Intelligence (ECAI 2004), Valencia, Spain, August 23-24, 2004, pp. 13–21. IOS Press, Amsterdam (2004)

    Google Scholar 

  12. Hill, R., Polovina, S., Beer, M.D.: From concepts to agents: towards a framework for multi-agent system modelling. In: AAMAS 2005: Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems, Utrecht, The Netherlands, pp. 1155–1156. ACM Press, New York (2005)

    Chapter  Google Scholar 

  13. Nwana, H., Ndumu, D., Lee, L., Collis, J.: ZEUS: A Tool-Kit for Building Distributed Multi-Agent Systems. Applied Artifical Intelligence Journal 13(1), 129–186 (1999)

    Article  Google Scholar 

  14. Padgham, L., Winikoff, M.: Prometheus: A Methodology for Developing Intelligent Agents. In: Proceedings of the Third International Workshop on Agent-Oriented Software Engineering, at AAMAS 2002 (2002)

    Google Scholar 

  15. Polovina, S.: The Suitability of Conceptual Graphs in Strategic Management Accountancy (PhD Thesis) (1993), available at http://www.polovina.me.uk/phd

  16. Polovina, S., Hill, R., Crowther, P., Beer, M.D.: Multi-Agent Community Design in the Real, Transactional World: A Community Care Exemplar. In: Pfeiffer, H., Wolff, K.E., Delugach, H.S. (eds.) Conceptual Structures at Work: Contributions to ICCS 2004, 12th International Conference on Conceptual Structures, pp. 69–82. Shaker Verlag (2004), ISBN 3-8322-2950-7, ISSN 0945-0807

    Google Scholar 

  17. Polovina, S., Heaton, J.: An Introduction to Conceptual Graphs. AI Expert 7(5), 36–43 (1992)

    Google Scholar 

  18. Polovina, S., Hill, R.: Enhancing the Initial Requirements Capture of Multi-Agent Systems through Conceptual Graphs. In: Proceedings of 13th International Conference on Conceptual Structures (ICCS 2005), Conceptual Structures: Common Semantics for Sharing Knowledge, July 18-22, 2005, pp. 439–452. Springer, Kassel, Germany (2005)

    Chapter  Google Scholar 

  19. Sowa, J.F.: Knowledge Representation: Logical, Philosophical and Computational Foundations, Brooks-Cole (2000)

    Google Scholar 

  20. Sowa, J.F.: Conceptual Structures: Information Processing in Mind and Machine. Addison-Wesley, Reading (1984)

    MATH  Google Scholar 

  21. OMG, Unified Modeling Language Resource Page, vol. 2004, http://www.uml.org/

  22. Wooldridge, M., Jennings, N., Kinny, D.: The Gaia Methodology for Agent-Oriented Analysis and Design. Autonomous Agents and Multi-Agent Systems 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

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hill, R., Polovina, S., Beer, M.D. (2006). Improving AOSE with an Enriched Modelling Framework. In: Müller, J.P., Zambonelli, F. (eds) Agent-Oriented Software Engineering VI. AOSE 2005. Lecture Notes in Computer Science, vol 3950. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11752660_8

Download citation

  • DOI: https://doi.org/10.1007/11752660_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34097-3

  • Online ISBN: 978-3-540-34099-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics