GAMA: A Spatially Explicit, Multi-level, Agent-Based Modeling and Simulation Platform

Alexis Drogoul (1) , Edouard Amouroux (2) , Philippe Caillou (3, 4) , Benoit Gaudou (5) , Arnaud Grignard (1) , Nicolas Marilleau (1) , Patrick Taillandier (6) , Maroussia Vavasseur (7) , Duc-An Vo (1) , Jean-Daniel Zucker (1, 8)

1 UMMISCO - Unité de modélisation mathématique et informatique des systèmes complexes [Bondy]
2 LIP6 - Laboratoire d'Informatique de Paris 6
3 TAO - Machine Learning and Optimisation
4 LRI - Laboratoire de Recherche en Informatique
5 IRIT-SMAC - Systèmes Multi-Agents Coopératifs
6 IDEES - Identité et Différenciation de l’Espace, de l’Environnement et des Sociétés
7 IRIT - Institut de recherche en informatique de Toulouse
8 MSI - Modélisation et Simulation Informatique de systèmes complexes

Agent-based modeling is now widely used to investigate complex systems but still lacks integrated and generic tools to support the representation of features usually associated with real complex systems, namely rich, dynamic and realistic environments or multiple levels of agency. The GAMA platform has been developed to address such issues and allow modelers, thanks to the use of a high-level modeling language, to build, couple and reuse complex models combining various agent architectures, environment representations and levels of abstraction.

Mots clés: Simulation platform; Agent-based modeling; GIS data; multi-level model

Domaines: Modélisation et simulation

Alexis Drogoul, Edouard Amouroux, Philippe Caillou, Benoit Gaudou, Arnaud Grignard, et al.. GAMA: A Spatially Explicit, Multi-level, Agent-Based Modeling and Simulation Platform. Practical Applications of Agents and Multi-Agent Systems, 2013, Spain. pp.271-274. ⟨hal-00834494⟩