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International Conference on Principles and Practice of Multi-Agent Systems

PRIMA 2013: PRIMA 2013: Principles and Practice of Multi-Agent Systems pp 117–131Cite as

GAMA 1.6: Advancing the Art of Complex Agent-Based Modeling and Simulation

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 8291)

Abstract

Agent-based models tend to be more and more complex. In order to cope with this increase of complexity, powerful modeling and simulation tools are required. These last years have seen the development of several platforms dedicated to the development of agent-based models. While some of them are still limited to the development of simple models, others allow to develop rich and complex models. Among them, the GAMA modeling and simulation platform is aimed at supporting the design of spatialized, multiple-paradigms and multiple-scales models. Several papers have already introduced GAMA, notably in earlier PRIMA conferences, and we would like, in this paper, to introduce the new features provided by GAMA 1.6, the latest revision to date of the platform. In particular, we present its capabilities concerning the tight combination of 3D visualization, GIS data management, and multi-level modeling. In addition, we present some examples of real projects that rely on GAMA to develop complex models.

Keywords

  • Agent-based modeling
  • simulation
  • GIS
  • multi-level
  • ODE
  • platform
  • visualization
  • complex systems

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Author information

Authors and Affiliations

  1. UMI 209 UMMISCO/MSI, UPMC, France

    Arnaud Grignard

  2. UMI 209 UMMISCO/MSI, IRD, Vietnam

    Duc An Vo & Alexis Drogoul

  3. UMR 6266 IDEES, CNRS/University of Rouen, France

    Patrick Taillandier

  4. UMR 5505 IRIT, CNRS/University of Toulouse, France

    Benoit Gaudou

  5. DREAM-CTU/IRD, CICT, Can Tho University, Vietnam

    Nghi Quang Huynh

Authors
  1. Arnaud Grignard
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  2. Patrick Taillandier
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  3. Benoit Gaudou
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  4. Duc An Vo
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  5. Nghi Quang Huynh
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  6. Alexis Drogoul
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Editor information

Editors and Affiliations

  1. Dipartimento di Informatica,, Università degli Studi di Torino, via Pessinetto 12,, 10149, Torino, Italy

    Guido Boella

  2. Division of Mathematical Sciences, Nanyang Technological University, Singapore

    Edith Elkind

  3. Department of Information Science, University of Otago, Dunedin, New Zealand

    Bastin Tony Roy Savarimuthu & Martin K. Purvis & 

  4. Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands

    Frank Dignum

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Grignard, A., Taillandier, P., Gaudou, B., Vo, D.A., Huynh, N.Q., Drogoul, A. (2013). GAMA 1.6: Advancing the Art of Complex Agent-Based Modeling and Simulation. In: Boella, G., Elkind, E., Savarimuthu, B.T.R., Dignum, F., Purvis, M.K. (eds) PRIMA 2013: Principles and Practice of Multi-Agent Systems. PRIMA 2013. Lecture Notes in Computer Science(), vol 8291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-44927-7_9

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  • DOI: https://doi.org/10.1007/978-3-642-44927-7_9

  • Publisher Name: Springer, Berlin, Heidelberg

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