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AMASON: Abstract Meta-model for Agent-Based SimulatiON

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Book cover Multiagent System Technologies (MATES 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8076))

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Abstract

The basic prerequisite for methodological advance in Multi-Agent Based Modelling and Simulation is a clear, ideally formally-grounded, concept of our subject. A commonly accepted, implementation-independent meta-model may improve the status of MABS as a scientific field providing a solid foundation that can be used for describing, comparing, analysing, and understanding MABS models. In this contribution, we present an attempt formalizing a general view of MABS models by defining the AMASON meta-model that captures the basic structure and dynamics of a MABS model.

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References

  1. Bandini, S., Manzoni, S., Vizzari, G.: Agent based modeling and simulation: An informatics perspective. J. Artificial Societies and Social Simulation 12(4) (2009)

    Google Scholar 

  2. Bernon, C., Cossentino, M., Gleizes, M.-P., Turci, P., Zambonelli, F.: A study of some multi-agent meta-models. In: Odell, J., Giorgini, P., Müller, J.P. (eds.) AOSE 2004. LNCS, vol. 3382, pp. 62–77. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  3. Beydoun, G., Low, G., Henderson-Sellers, B., Mouratidis, H., Gomez-Sanz, J.J., Pavón, J., Gonzalez-Perez, C.: FAML: A generic metamodel for MAS development. IEEE Transactions on Software Engineering 35(6), 841–863 (2009)

    Article  Google Scholar 

  4. Dinu, R., Stratulat, T., Ferber, J.: A formal approach to MASQ. In: van der Hoek, W., Kaminka, G.A., Lespérance, Y., Luck, M., Sen, S. (eds.) 9th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2010), Toronto, CA, pp. 1443–1444 (May 2010)

    Google Scholar 

  5. D’Inverno, M., Luck, M.: Understanding Agent Systems, 2nd edn. Springer (2004)

    Google Scholar 

  6. Epstein, J.M., Axtell, R.: Growing Artificial Societies - Social Science from the Bottom Up. The MIT Press (1996)

    Google Scholar 

  7. Ferber, J., Gutknecht, O.: A meta-model for the analysis and design of organizations in multi-agent systems. In: ICMAS 1998: Proceedings of the 3rd International Conference on Multi Agent Systems, pp. 128–135. IEEE Computer Society, Washington, DC (1998)

    Chapter  Google Scholar 

  8. Ferber, J., Müller, J.-P.: Influences and reactions: a model of situated multiagent systems. In: Proc. of the ICMAS 1996. AAAI Press (1996)

    Google Scholar 

  9. Fuentes-Fernandez, R., Galan, J.M., Hassan, S., Lopez-Paredes, A., Pavon, J.: Application of model driven techniques for agent-based simulation. In: Advances in Practical Applications of Agents and Multiagent Systems, PAAMS 2010, Salamanca, Spain (April 2010)

    Google Scholar 

  10. Garro, A., Russo, W.: easyABM: A domain-expert oriented methodology for agent-based modeling and simulation. Simulation Modelling Practice and Theory 18, 1453–1467 (2010)

    Article  Google Scholar 

  11. Genesereth, M.L., Nilsson, N.J.: Logical Foundations of Artificial Intelligence. Morgan Kaufmann (1987)

    Google Scholar 

  12. Ghorbani, A., Bots, P., Dignum, V., Dijkema, G.: MAIA: a framework for developing agent-based social simulations. Journal of Artificial Societies and Social Simulation 16(2), 9 (2013)

    Google Scholar 

  13. Gilbert, N.: Agent-based Models. Sage Publications (2008)

    Google Scholar 

  14. Grimm, V., et al.: A standard protocol for describing individual-based and agent-based models. Ecological Modelling 198, 115–126 (2006)

    Article  Google Scholar 

  15. Hahn, C., Madrigal-Mora, C., Fischer, K.: A platform independent meta model for multi-agent systems. Autonomous Agents and Multi-Agent Systems 18(2), 239–266 (2009)

    Article  Google Scholar 

  16. Helleboogh, A., Vizzari, G., Uhrmacher, A., Michel, F.: Modeling dynamic environments in multi-agent simulation. Autonomous Agents and Multi-Agent Systems 14(1), 87–116 (2007)

    Article  Google Scholar 

  17. Hocaoglu, M.F., Firat, C., Sarjoughian, H.S.: Devs/rap: Agent-based simulation. In: Proc. of the 2002 AIS Conference (AI, Simulation and Planning in Highly Autonomous Systems), Lisboa (April 2002)

    Google Scholar 

  18. Klügl, F.: Towards a formal framework for multi-agent simulation models. Technical Report 412, Institute of Computer Science, University of Würzburg (2007)

    Google Scholar 

  19. Klügl, F., Fehler, M., Herrler, R.: About the role of the environment in multi-agent simulations. In: Weyns, D., Van Dyke Parunak, H., Michel, F. (eds.) E4MAS 2004. LNCS (LNAI), vol. 3374, pp. 127–149. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  20. Livet, P., Muller, J.-P., Phan, D., Sanders, L.: Ontology, a mediator for agent-based modeling in social science. Journal of Artificial Societies and Social Simulation 13(1), 3 (2010)

    Google Scholar 

  21. Macal, C.M., North, M.J.: Tutorial on agent-based modelling and simulation. Journal of Simulation 4, 151–162 (2010)

    Article  Google Scholar 

  22. Müller, J.-P.: Towards a formal semantics of event-based multi-agent simulations. In: David, N., Sichman, J.S. (eds.) MAPS 2008. LNCS, vol. 5269, pp. 110–126. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  23. North, M.J., Macal, C.M.: Managing BusinessComplexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation. Oxford University Press (2007)

    Google Scholar 

  24. Oechslein, C.: Vorgehensmodell mit integrierter Spezifikations- und Implementierungssprache zur Multiagentensimulation. PhD thesis, Computer Science Faculty, University of Würzburg, Germany (2003)

    Google Scholar 

  25. Omicini, A., Ricci, A., Viroli, M.: Artifacts in the a&a meta-model for multi-agent systems. Autonomous Agents and Multi-Agent Systems 17, 432–456 (2008)

    Article  Google Scholar 

  26. Parker, M.T., North, M.J., Collier, N.T., Howe, T.R., Vos, J.R.: Agent-based meta-models. In: Sallach, D.L., Macal, C.M., North, M.J. (eds.) Proc. the Agent 2006 Conf. on Social Agents: Results and Prospects, pp. 69–79 (2006)

    Google Scholar 

  27. Railsback, S.F., Grimm, V.: Agent-based and Individual-based Modeling: A Practical Introduction. Princeton University Press (2011)

    Google Scholar 

  28. Siegfried, R., Lehmann, A., Khayari, R.E.A., Kiesling, T.: A reference model for agent-based modeling and simulation. In: Proceedings of SpringSim 2009, The 2009 Spring Simulation Multiconference, pp. 23:1–23:8 (2009)

    Google Scholar 

  29. Uhrmacher, A.M.: Object-oriented and agent-oriented simulation-implications for social science applications. In: Doran, J., Gilbert, N., Müller, U., Troitzsch, K.G. (eds.) Social Science Micro Simulation, pp. 432–447. Springer, Berlin (1996)

    Google Scholar 

  30. Urban, C.: PECS: A reference model for the simulation of multi-agent systems. In: Suleiman, R., Troitzsch, K.G., Gilbert, N. (eds.) Tools and Techniques for Social Science Simulation, pp. 83–114. Physica-Verlag (2000)

    Google Scholar 

  31. Weyns, D., Holvoet, T.: A formal model for situated multi-agent systems. Fundamenta Informaticae 63(2-3), 125–158 (2004)

    MathSciNet  MATH  Google Scholar 

  32. Wooldridge, M.J.: Introduction to Multiagent Systems, 2nd edn. John Wiley & Sons (2009)

    Google Scholar 

  33. Zeigler, B.P.: Object Oriented Simulation With Hierarchical Modular Models: Intelligent Agents and Endomorphic Systems. Academic Press (1990)

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Science and Technology, Örebro University, Örebro, Sweden

    Franziska Klügl

  2. School of Technology, Malmö University, Malmö, Sweden

    Paul Davidsson

Authors
  1. Franziska Klügl
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  2. Paul Davidsson
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Editor information

Editors and Affiliations

  1. Deutsches Forschungszentrum für Künstiliche Intelligenz (DFKI GmbH) Forschungsbereich Agenten und Simulierte Realität, Campus Gebäude D 3 2, D-66123, Saarbrücken, Germany

    Matthias Klusch

  2. WeST – Institute for Web Science and Technologies, University of Koblenz-Landau, 56070, Koblenz, Germany

    Matthias Thimm

  3. Systems Research Institute Polish Academy of Sciences, Warsaw, Poland

    Marcin Paprzycki

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Klügl, F., Davidsson, P. (2013). AMASON: Abstract Meta-model for Agent-Based SimulatiON. In: Klusch, M., Thimm, M., Paprzycki, M. (eds) Multiagent System Technologies. MATES 2013. Lecture Notes in Computer Science(), vol 8076. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40776-5_11

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  • DOI: https://doi.org/10.1007/978-3-642-40776-5_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40775-8

  • Online ISBN: 978-3-642-40776-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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