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

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Agent-Oriented Information Systems (AOIS 2003)

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

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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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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

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  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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