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Modelling Actor Evolution in Agent-Based Simulations

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Organized Adaption in Multi-Agent Systems (OAMAS 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5368))

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Abstract

Agent-based simulations have proven to be suitable to investigate many kinds of problems, especially in the field of social science. But to provide useful insights, the behaviour of the involved, simulated actors needs to reflect relevant features of the real world. In this paper, we address one particular aspect in this regard, namely the correct reflection of an actor’s evolution during a simulation. Very often some knowledge exists about how an actor can evolve, for example, the typical development stages of entrepreneurs when investigating entrepreneurship networks. We propose to model this knowledge explicitly using evolution links between roles enriched with suitable conditions and extend i*, an agent- and goal-oriented modelling framework, thereby. We provide a mapping to the simulation environment ConGolog that serves as an intermediary approach between not providing change of behaviour at all and very open approaches to behaviour adaptation such as learning.

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Author information

Authors and Affiliations

  1. Informatik 5, RWTH Aachen University, Ahornstr. 55, 52056, Aachen, Germany

    Aristama Roesli, Gerhard Lakemeyer & Matthias Jarke

  2. Fraunhofer FIT, Schloss Birlinghoven, 53754, Sankt Augustin, Germany

    Dominik Schmitz & Matthias Jarke

Authors
  1. Aristama Roesli
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  2. Dominik Schmitz
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  3. Gerhard Lakemeyer
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  4. Matthias Jarke
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Editor information

Editors and Affiliations

  1. Department of Information and Communication Systems Engineering, Karlovassi, University of the Aegean, 83200, Samos, Greece

    George Vouros

  2. Institute of Informatics & Telecommunications, Software & Knowledge Engineering Laboratory, National Centre for Scientific Research "Demokritos", 15310, Athens, Greece

    Alexander Artikis

  3. Department of Computer Science, Royal Holloway, University of London, UK

    Kostas Stathis

  4. Department of Electrical & Electronic Engineering, Imperial College London, SW7 2BT, UK

    Jeremy Pitt

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© 2009 Springer-Verlag Berlin Heidelberg

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Roesli, A., Schmitz, D., Lakemeyer, G., Jarke, M. (2009). Modelling Actor Evolution in Agent-Based Simulations. In: Vouros, G., Artikis, A., Stathis, K., Pitt, J. (eds) Organized Adaption in Multi-Agent Systems. OAMAS 2008. Lecture Notes in Computer Science(), vol 5368. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02377-4_8

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  • DOI: https://doi.org/10.1007/978-3-642-02377-4_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02376-7

  • Online ISBN: 978-3-642-02377-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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