Using IDEF0 to Enhance Functional Analysis in \(\mathcal{M}\)OISE +  Organizational Modeling

  • André Luiz Pimentel Uruguay
  • Celso Massaki Hirata
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4140)

Abstract

A proposal to use the Integrated Definition for Function Modeling (IDEF0) as a method for functional analysis in \(\mathcal{M}\)OISE +  representation is presented. \(\mathcal{M}\)OISE +  is composed of three types of specification: functional, structural and deontic. It is shown that IDEF0 can capture many context details during functional phase which facilitates the elicitation of initial beliefs, goals and plans for further cognitive agent design. IDEF0 also makes clear distinction between functional and process modeling (defined in IDEF3), leaving to the agent to choose the best process to try to perform a function. A case study involving the organizational modeling of an integrated air defense system with its command and control infrastructure is presented. The assessment of the case study shows how the visibility of inputs, outputs, controls and mechanisms can lead to an easier design of the agents. A multiagent-based simulation from the resulting organizational model is implemented using Belief-Desire-Intention (BDI) cognitive architecture in JADEX Agent System.

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References

  1. 1.
    Meirina, C., Levchuk, G.M., Ruan, S., Pattipati, K.R., Popp, R.L.: Normative Framework and Computational Models for Simulating and Assessing Command and Control Processes. Simulation Modelling Practice and Theory 14(4), 454–479 (2006)CrossRefGoogle Scholar
  2. 2.
    Kumar, M.: Contrast and Comparison of Five Major Agent Oriented Software Engineering (AOSE) Methodologies (2002)Google Scholar
  3. 3.
    Cummins, R.: ”How Does It Work?” versus ”What Are the Laws?” - Two Conceptions of Psychological Explanation. In: Explanation and Cognition, pp. 117–144. MIT Press, Cambridge (2000)Google Scholar
  4. 4.
    Moss, S., Gaylard, H., Wallis, S., Edmonds, B.: SDML: A Multi-Agent Language for Organizational Modelling. Computational & Mathematical Organization Theory 4(1), 43–69 (1998)CrossRefGoogle Scholar
  5. 5.
    Horling, B., Lesser, V.: Quantitative Organizational Models for Large-Scale Agent Systems. In: Proceedings of the International Workshop on Massively Multi-Agent Systems, pp. 297–312 (2004)Google Scholar
  6. 6.
    Ferber, J., Gutknecht, O.: A Meta-Model for the Analysis and Design of Organisations in Multi-Agent Systems. In: Proceedings of the Third International Conference on Multi-Agent Systems (ICMAS 1998), pp. 128–135. IEEE Computer Society Press, Los Alamitos (1998)CrossRefGoogle Scholar
  7. 7.
    Jonker, C., Treur, J.: Relating Structure and Dynamics in Organization Models. In: Sichman, J.S., Bousquet, F., Davidsson, P. (eds.) MABS 2002. LNCS, vol. 2581, pp. 50–69. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  8. 8.
    Jo, C.H., Einhorn, J.M.: A BDI Agent-Based Software Process. Journal of Object Technology 4(9), 101–121 (2005)CrossRefGoogle Scholar
  9. 9.
    Hübner, J.F., Sichman, J.S., Boissier, O.: Using the MOISE+ for a Cooperative Framework of MAS Reorganisation. In: Bazzan, A.L.C., Labidi, S. (eds.) SBIA 2004. LNCS (LNAI), vol. 3171, pp. 506–515. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  10. 10.
    Hübner, J.F.: Um Modelo de Reorganização de Sistemas Multiagentes. PhD thesis, Escola Politécnica da Universidade de São Paulo, São Paulo (2003)Google Scholar
  11. 11.
    Hübner, J.F., Sichman, J.S., Boissier, O.: S-MOISE+: A Middleware for Developing Organised Multi-Agent Systems. In: Boissier, O., Dignum, V., Matson, E., Sichman, J.S.A. (eds.) Proceedings of the International Workshop on Organizations in Multi-Agent Systems, from Organizations to Organization Oriented Programming in MAS (OOOP 2005) (2005)Google Scholar
  12. 12.
    USA: IEEE STD 1320.1-1998 - Standard for Functional Modeling Language - Syntax and Semantics for IDEF0. Institute of Electrical and Electronic Engineers, New Jersey (1998) Google Scholar
  13. 13.
    Rao, A., Georgeff, M.: BDI Agents: From Theory to Practice. In: Proceedings of the First International Conference on Multi-Agent Systems (ICMAS 1995), San Francisco, USA (1995)Google Scholar
  14. 14.
    Rahwan, I., Kowalczyk, R., Yang, Y.: Virtual Enterprise Design - BDI Agents vs. Objects. In: Kowalczyk, R., Loke, S.W., Reed, N.E., Graham, G. (eds.) PRICAI-WS 2000. LNCS, vol. 2112, pp. 147–157. Springer, Heidelberg (2001)CrossRefGoogle Scholar
  15. 15.
    Padgham, L., Winikoff, M.: Prometheus: A Pragmatic Methodology for Engineering Intelligent Agents. In: Proceedings of the Workshop on Agent-Oriented Methodologies at OOPSLA 2002 (2002)Google Scholar
  16. 16.
    Cernuzzi, L., Cossentino, M., Zambonelli, F.: Process Models for Agent-Based Development. Journal of Engineering Applications of Artificial Intelligence 18(2) (2005)Google Scholar
  17. 17.
    Sudeikat, J., Braubach, L., Pokahr, A., Lamersdor, W.: Evaluation of Agent–Oriented Software Methodologies – Examination of the Gap Between Modeling and Platform. In: Odell, J.J., Giorgini, P., Müller, J.P. (eds.) AOSE 2004, vol. 3382, pp. 126–141. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  18. 18.
    Pokahr, A., Braubach, L., Lamersdorf, W.: Jadex: Implementing a bdiinfrastructure for jade agents. EXP - in search of innovation (Special Issue on JADE) 3(3), 76–85 (2003)Google Scholar
  19. 19.
    Booch, G., Rumbaugh, J., Jacobson, I.: The Unified Modeling Language User Guide. Addison-Wesley, Reading (1998)Google Scholar
  20. 20.
    Odell, J., Parunak, H.V.D., Bauer, B.: Extending UML for Agents. In: Wagner, G., Lesperance, Y., Yu, E. (eds.) Proceedings of the Agent-Oriented Information Systems Workshop at the 17th National Cconference on Artificial Intelligence, Austin, TX, pp. 3–17 (2000)Google Scholar
  21. 21.
    Cochran, L., Wheaton, K.: A Conceptual Operational Model for Command and Control of International Missions in the Canadian Forces. In: DoD Command and Control Research Program (ed.) 7th International Command and Control Research and Technology Symposium, Qubec (2002)Google Scholar
  22. 22.
    Kendall, E.A., Malkoun, M.T., Jiang, C.: A Methodology for Developing Agent Based Systems for Enterprise Integration. In: Proceedings of the First Australian Workshop on DAI (1996)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • André Luiz Pimentel Uruguay
    • 1
  • Celso Massaki Hirata
    • 2
  1. 1.Instituto de Estudos AvançadosSão José dos CamposBrazil
  2. 2.Instituto Tecnológico de AeronáuticaSão José dos CamposBrazil

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