GAMA 1.6: Advancing the art of complex agent-based modeling and simulation

Arnaud Grignard (1) , Patrick Taillandier (2) , Benoit Gaudou (3) , Duc An Vo (4) , Nghi Huynh Quang (5) , Alexis Drogoul (1)

1 UMMISCO - Unité de modélisation mathématique et informatique des systèmes complexes [Bondy]
2 MTG-IDEES - Modélisation et Traitements Graphiques en Géographie
3 IRIT-SMAC - Systèmes Multi-Agents Coopératifs
4 MSI - Modélisation et Simulation Informatique de systèmes complexes
5 DREAM

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.

Mots clés: visualization; Agent-based modeling; simulation; ODE; platform; complex systems; GIS; multi-level

Domaines: Système multi-agents [cs.MA]; Modélisation et simulation

Arnaud Grignard, Patrick Taillandier, Benoit Gaudou, Duc An Vo, Nghi Huynh Quang, et al.. GAMA 1.6: Advancing the art of complex agent-based modeling and simulation. Pacific Rim international Conference on Multi-Agents (PRIMA), Dec 2013, Dunedin, New Zealand. pp.117-131, ⟨10.1007/978-3-642-44927-7_9⟩. ⟨hal-00932406⟩