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International Bi-Conference Workshop on Agent-Oriented Information Systems

AOIS 2003: Agent-Oriented Information Systems pp 174–188Cite as

AOR Modelling and Simulation: Towards a General Architecture for Agent-Based Discrete Event Simulation

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3030))

Abstract

Agent-oriented modelling of software systems and agent-based simulation are commonly viewed as two separate fields with different concepts and techniques. We show that the Agent-Object-Relationship (AOR) modelling language, proposed in [Wag03] for information systems analysis and design, can also be used for specifying simulation models that can be executed by an agent-based simulation system. The suitability of AOR modelling for simulation is also supported by the fact that the AOR meta-model and the meta- model of discrete event simulation can be combined into a model of agent- based discrete event simulation in a natural way.

This paper improves and extends [WT03].

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References

  1. Booth, G.: Courseware Programmer’s Guide. Yale Institute for Biospheric Studies (1999)

    Google Scholar 

  2. Le Page, C., Bousquet, F., Bakam, I., Bah, A., Baron, C.: CORMAS: A multiagent simulation toolkit to model natural and social dynamics at multiple scales. In: Proceedings of Workshop ”The ecology of scales”, Wageningen, The Netherlands (2000)

    Google Scholar 

  3. CIRAD: CORMAS, Common-pool Resources and Multi-Agents Systems, User’s Guide (2001)

    Google Scholar 

  4. Conte, R., Dignum, F.: From Social Monitoring to Normative Influence. Journal of Artificial Societies and Social Simulation 4(2) (2001)

    Google Scholar 

  5. Davidsson, P.: Agent Based Social Simulation: A Computer Science View. Journal of Artificial Societies and Social Simulation 5(1) (2002)

    Google Scholar 

  6. Davies, A.: EcoSim: An Interactive Simulation, Duquesne Universitat, Pittsburgh (2002)

    Google Scholar 

  7. Dennett, D.C.: Intentional Systems. The Journal of Philosophy 68 (1971)

    Google Scholar 

  8. Edmonds, B., Wallis, S.: Towards an Ideal Social Simulation Language, Manchester Metropolitan University (2002)

    Google Scholar 

  9. Ferber, J., Gutknecht, O.: A meta-model for the analysis and design of organizations 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)

    Chapter  Google Scholar 

  10. Hales, D.: Evolving Specialisation, Altruism and Group-Level Optimisation Using Tags. In: Sichman, J.S., Bousquet, F., Davidsson, P. (eds.) MABS 2002. LNCS (LNAI), vol. 2581, pp. 26–35. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  11. Defense Modelling and Simulation Office: High Level Architecture (2002)

    Google Scholar 

  12. Jacobson, I.: The Object Advantage. Addison-Wesley, Workingham (1994)

    Google Scholar 

  13. Kliigl, F.: Multiagentensimulation. Addison-Wesley, Reading (2001)

    Google Scholar 

  14. Luin, J.v, Tulba, F., Wagner, G.: Remodelling The Beer Game As An Agent-Object-Relationship Simulation (submitted to ABS 5)

    Google Scholar 

  15. Ferber, J., Gutknecht, O., Michel, F.: MadKit Development Guide (2002)

    Google Scholar 

  16. Scott, M., Gaylard, H., Wallis, S., Edmonds, B.: SDML: A Multi-Agent Language for Organizational Modelling. Computational and MathematicalOrganization Theory 4(1), 43–70 (1998)

    Article  Google Scholar 

  17. Noda, I., Matsubara, H., Hiraki, K., Frank, I.: Soccer Server: a tool for research on multiagent systems. Applied Artificial Intelligence 12(2-3) (1998)

    Google Scholar 

  18. Minar, N., Burkhart, R., Langton, C., Askenazi, M.: The Swarm Simulation System: A Toolkit For Building Multi-Agent Simulations (1996)

    Google Scholar 

  19. Johnson, P., Lancaster, A.: Swarm User Guide (2000)

    Google Scholar 

  20. SICS: Trading Agent Competition (2002), See http://www.sics.se/tac/

  21. Wagner, G.: The Agent-Object-Relationship Meta-Model: Towards a Unified View of State and Behaviour. Information Systems 28(5), 475–504 (2003)

    Article  MATH  Google Scholar 

  22. Wagner, G., Tulba, F.: Agent-Oriented Modelling and Agent-Based Simulation. In: Jeusfeld, M.A., Pastor, Ó. (eds.) ER Workshops 2003. LNCS, vol. 2814, pp. 205–216. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

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Author information

Authors and Affiliations

  1. Faculty of Technology Management, I&T, Eindhoven University of Technology, P.O. Box 513, 5600 MB, Eindhoven, The Netherlands

    Gerd Wagner

Authors
  1. Gerd Wagner
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Editor information

Editors and Affiliations

  1. University of Trento - DISI, 38100, Povo, Trento, Italy

    Paolo Giorgini

  2. Faculty of Information Technology, University of Technology, 2000, Sydney, Broadway, NSW, Australia

    Brian Henderson-Sellers

  3. Higher Education Development Centre, University of Otago, P.O. Box 56, Dunedin, New Zealand

    Michael Winikoff

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© 2004 Springer-Verlag Berlin Heidelberg

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Wagner, G. (2004). AOR Modelling and Simulation: Towards a General Architecture for Agent-Based Discrete Event Simulation. In: Giorgini, P., Henderson-Sellers, B., Winikoff, M. (eds) Agent-Oriented Information Systems. AOIS 2003. Lecture Notes in Computer Science(), vol 3030. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25943-5_12

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  • DOI: https://doi.org/10.1007/978-3-540-25943-5_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22127-2

  • Online ISBN: 978-3-540-25943-5

  • eBook Packages: Springer Book Archive

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