An Agent-Oriented Approach to Service Analysis and Design

  • Hoa Khanh Dam
  • Aditya Ghose
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7057)


The agent paradigm, with its new way of thinking about software systems as a collection of autonomous, flexible and robust agents, offers a promising solution for modelling and implementing distributed complex systems. Intelligent agents and services share a substantial number of key concepts such as autonomy, reactivity, loose coupling and strong encapsulation. There has been, however, little work on leveraging such a deep connection between agents and services. In this paper, we argue that agent-oriented software engineering (AOSE) provides an important basis for service analysis and design at the business service level. In particular, we show how concepts and techniques in AOSE can be used to analyse and model business services in the context of service ecosystems.


Service Ecosystem Business Process Multiagent System Service Analysis Service Interaction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Paulson, L.D.: Services science: A new field for today’s economy. Computer 39(8), 18–21 (2006)CrossRefGoogle Scholar
  2. 2.
    Sawatani, Y.: Research in service ecosystems. In: Proceedings of Management of Engineering and Technology (PICMET 2007), Portland, USA, pp. 2763–2768 (2007)Google Scholar
  3. 3.
    Janssen, M., Wagenaar, R.: An analysis of a shared services centre in e-government. In: HICSS 2004: Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS 2004) - Track 5, p. 50124.2. IEEE Computer Society, Washington, DC (2004)Google Scholar
  4. 4.
    Barros, A.P., Dumas, M.: The rise of web service ecosystems. IT Professional 8(5), 31–37 (2006)CrossRefGoogle Scholar
  5. 5.
    Ruokolainen, T., Kutvonen, L.: Managing interoperability knowledge in open service ecosystems. In: Proceedings of the 13th Enterprise Distributed Object Computing Conference Workshops, EDOCW, Auckland, New Zealand, pp. 203–211. IEEE (September 2009)Google Scholar
  6. 6.
    Mathieson, I., Dance, S., Padgham, L., Gorman, M., Winikoff, M.: An open meteorological alerting system: Issues and solutions. In: Estivill-Castro, V. (ed.) Proceedings of the 27th Australasian Computer Science Conference, Dunedin, New Zealand, pp. 351–358 (2004)Google Scholar
  7. 7.
    Burmeister, B., Arnold, M., Copaciu, F., Rimassa, G.: BDI-Agents for agile goal-oriented business processes. In: Padgham, Parkes, Müller, Parsons (eds.) Proceedings of the 7th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), Estoril, Portugal, pp. 37–44 (May 2008)Google Scholar
  8. 8.
    Monostori, L., Váncza, J., Kumara, S.: Agent based systems for manufacturing. CIRP Annals-Manufacturing Technology 55(2), 697–720 (2006)CrossRefGoogle Scholar
  9. 9.
    Munroe, S., Miller, T., Belecheanu, R.A., Pěchouček, M., McBurney, P., Luck, M.: Crossing the agent technology chasm: Lessons, experiences and challenges in commercial applications of agents. Knowledge Engineering Review 21(4), 345–392 (2006)CrossRefGoogle Scholar
  10. 10.
    Wooldridge, M., Jennings, N.R.: Intelligent agents: Theory and practice. The Knowledge Engineering Review 10(2), 115–152 (1995)CrossRefGoogle Scholar
  11. 11.
    Jennings, N.R.: An agent-based approach for building complex software systems. Communications of the ACM 44(4), 35–41 (2001)CrossRefGoogle Scholar
  12. 12.
    Ghose, A.: Industry traction for MAS technology: would a rose by any other name smell as sweet. Int. J. Agent-Oriented Softw. Eng. 3(4), 397–401 (2009)CrossRefGoogle Scholar
  13. 13.
    Cabri, G., Leonardi, L., Puviani, M.: Service-oriented agent methodologies. In: WETICE 2007: Proceedings of the 16th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises, pp. 24–29. IEEE Computer Society, Washington, DC (2007)CrossRefGoogle Scholar
  14. 14.
    Padgham, L., Winikoff, M.: Developing intelligent agent systems: A practical guide. John Wiley & Sons, Chichester (2004) ISBN 0-470-86120-7Google Scholar
  15. 15.
    Georgeff, M.: Service orchestration: The next big challenge. DM Direct Special Report (June 2006)Google Scholar
  16. 16.
    Luck, M., McBurney, P., Shehory, O., Willmott, S.: Agent Technology: Computing as Interaction (A Roadmap for Agent Based Computing). AgentLink (2005)Google Scholar
  17. 17.
    Jennings, N.R., Sycara, K., Wooldridge, M.: A roadmap of agent research and development. Journal of Autonomous Agents and Multi-Agent Systems 1(1), 7–38 (1998)CrossRefGoogle Scholar
  18. 18.
    Jennings, N.R., Wooldridge, M.: Agent-Oriented Software Engineering. In: Garijo, F.J., Boman, M. (eds.) MAAMAW 1999. LNCS, vol. 1647, pp. 1–7. Springer, Heidelberg (1999)CrossRefGoogle Scholar
  19. 19.
    Henderson-Sellers, B., Giorgini, P. (eds.): Agent-Oriented Methodologies. Idea Group Publishing (2005)Google Scholar
  20. 20.
    Bresciani, P., Perini, A., Giorgini, P., Giunchiglia, F., Mylopoulos, J.: Tropos: An agent-oriented software development methodology. Autonomous Agents and Multi-Agent Systems 8(3), 203–236 (2004)CrossRefzbMATHGoogle Scholar
  21. 21.
    Zambonelli, F., Jennings, N.R., Wooldridge, M.: Developing multiagent systems: The Gaia methodology. ACM Transactions on Software Engineering and Methodology 12(3), 317–370 (2003)CrossRefGoogle Scholar
  22. 22.
    DeLoach, S.A.: Engineering Organization-Based Multiagent Systems. In: Garcia, A.F., Choren, R., de Lucena, C.J.P., Giorgini, P., Holvoet, T., Romanovsky, A.B. (eds.) SELMAS 2005. LNCS, vol. 3914, pp. 109–125. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  23. 23.
    Cossentino, M.: From requirements to code with the PASSI methodology. In: Henderson-Sellers, B., Giorgini, P. (eds.) Agent-Oriented Methodologies, pp. 79–106. Idea Group Inc. (2005)Google Scholar
  24. 24.
    Dam, K.H., Winikoff, M.: Comparing Agent-Oriented Methodologies. In: Giorgini, P., Henderson-Sellers, B., Winikoff, M. (eds.) AOIS 2003. LNCS (LNAI), vol. 3030, pp. 78–93. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  25. 25.
    Scheithauer, G., Augustin, S., Wirtz, G.: Describing services for service ecosystems, pp. 242–255 (2009)Google Scholar
  26. 26.
    Dhanesha, K.A., Hartman, A., Jain, A.N.: A model for designing generic services. In: SCC 2009: Proceedings of the 2009 IEEE International Conference on Services Computing, pp. 435–442. IEEE Computer Society, Washington, DC (2009)CrossRefGoogle Scholar
  27. 27.
    Lê, L.-S., Ghose, A., Morrison, E.: Definition of a Description Language for Business Service Decomposition. In: Morin, J.-H., Ralyté, J., Snene, M. (eds.) IESS 2010. LNBIP, vol. 53, pp. 96–110. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  28. 28.
    Winikoff, M.: Designing commitment-based agent interactions. In: IAT 2006: Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology, pp. 363–370. IEEE Computer Society, Washington, DC (2006)CrossRefGoogle Scholar
  29. 29.
    Yolum, P., Singh, M.P.: Flexible protocol specification and execution: applying event calculus planning using commitments. In: AAMAS 2002: Proceedings of the first International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 527–534. ACM, New York (2002)Google Scholar
  30. 30.
    Cheong, C., Winikoff, M.: Hermes: a methodology for goal oriented agent interactions. In: AAMAS 2005: Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 1121–1122. ACM, New York (2005)CrossRefGoogle Scholar
  31. 31.
    Bitner, M.: Evaluating service encounters: the effects of physical surroundings and employee responses. Journal of Marketing 54(2), 69–82 (1990)CrossRefGoogle Scholar
  32. 32.
    Papazoglou, M.P., Traverso, P., Dustdar, S., Leymann, F.: Service-oriented computing: State of the art and research challenges. Computer 40(11), 38–45 (2007)CrossRefGoogle Scholar
  33. 33.
    Bratman, M.E.: Intentions, Plans, and Practical Reason. Harvard University Press, Cambridge (1987)Google Scholar
  34. 34.
    Rao, A.S., Georgeff, M.P.: BDI-agents: from theory to practice. In: Proceedings of the First Intl. Conference on Multiagent Systems, San Francisco (1995)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Hoa Khanh Dam
    • 1
  • Aditya Ghose
    • 1
  1. 1.School of Computer Science and Software EngineeringUniversity of WollongongWollongongAustralia

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