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PRIMA 2013: Principles and Practice of Multi-Agent Systems

Volume 8291 of the series Lecture Notes in Computer Science pp 117-131

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

  • Arnaud GrignardAffiliated withUMI 209 UMMISCO/MSI, UPMC
  • , Patrick TaillandierAffiliated withUMR 6266 IDEES, CNRS/University of Rouen
  • , Benoit GaudouAffiliated withUMR 5505 IRIT, CNRS/University of Toulouse
  • , Duc An VoAffiliated withUMI 209 UMMISCO/MSI, IRD
  • , Nghi Quang HuynhAffiliated withDREAM-CTU/IRD, CICT, Can Tho University
  • , Alexis DrogoulAffiliated withUMI 209 UMMISCO/MSI, IRD

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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