GAMA: multi-level and complex environment for agent-based models and simulations

Authors:
Alexis Drogoul;Edouard Amouroux;Philippe Caillou;Benoit Gaudou;Arnaud Grignard;Nicolas Marilleau;Patrick Taillandier;Maroussia Vavasseur;Duc-An Vo;Jean-Daniel Zucker
Affiliations:
UMMISCO, IRD, Can-Tho, Vietnam;LIP6, UPMC, Paris, France;LRI, Université Paris Sud, Paris, France;IRIT, Université Toulouse 1, Toulouse, France;UMMISCO, IRD, Hanoi, Vietnam;UMMISCO, IRD, paris, France;UMR IDEES, Université Rouen, Rouen, France;IRIT, Université Toulouse 1, Toulouse, France;UMMISCO, IRD, Hanoi, Vietnam;UMMISCO, IRD, Hanoi, Vietnam
Venue:
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Year:
2013

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Abstract

Agent-based models are now used in numerous application domains (ecology, social sciences, etc.) but their use is still impeded by the lack of generic yet ready-to-use tools sup- porting the design and the simulation of complex models in- tegrating multiple level of agency and realistic environments. The GAMA modeling and simulation platform is proposed to address such issues. It allows modelers to build com- plex models thanks to high-level modeling language, various agent architectures and advanced environment representa- tions and built-in multi-level support.