F. Badeig and F. Balbo, Définition d'un cadre de conception et d'exécution pour la simulation multi-agent. Revue d'Intelligence Artificielle, pp.255-280, 2012.

G. Beurier, O. Simonin, and J. Ferber, Un modele de systeme multi-agents pour l'emergence multiniveaux, 11eme journees Francophones sur les Systemes Multi-Agents, Revue des Sciences et Technologies de l'Information, pp.235-247, 2003.

A. Grignard, P. Taillandier, B. Gaudou, D. Vo, N. Huynh et al., GAMA 1.6: Advancing the Art of Complex Agent-Based Modeling and Simulation, PRIMA 2013 : Principles and Practice of Multi-Agent Systems, pp.117-131, 2013.
DOI : 10.1007/978-3-642-44927-7_9

URL : https://hal.archives-ouvertes.fr/hal-00932406

E. Hermellin, F. Michel, and J. Ferber, Systèmes multi-agents et GPGPU : état des lieux et directions pour l'avenir, Principe de Parcimonie -JF- SMA 14 -Vingt-deuxièmes Journées Francophones sur les Systèmes Multi-Agents, pp.97-106, 2014.

S. Luke, C. Cioffi-revilla, L. Panait, K. Sullivan, and G. Balan, MASON: A Multiagent Simulation Environment, SIMULATION, vol.81, issue.7, pp.517-527, 2005.
DOI : 10.1177/0037549705058073

M. Lysenko and R. M. Souza, A Framework for Megascale Agent Based Model Simulations on Graphics Processing Units, Journal of Artificial Societies and Social Simulation, vol.11, issue.4, p.10, 2008.

F. Michel, D??l??gation GPU des perceptions agents : int??gration it??rative et modulaire du GPGPU dans les simulations multi-agents. Application sur la plate-forme TurtleKit 3, Revue d'intelligence artificielle, vol.28, issue.4, pp.485-510, 2014.
DOI : 10.3166/ria.28.485-510

F. Michel, G. Beurier, and J. Ferber, The TurtleKit Simulation Platform : Application to Complex Systems, Workshops Sessions of the Proceedings of the 1st International Conference on Signal-Image Technology and Internet- Based Systems, SITIS 2005, pp.122-128, 2005.
URL : https://hal.archives-ouvertes.fr/lirmm-00106173

J. D. Owens, D. Luebke, N. Govindaraju, M. Harris, J. Kruger et al., A Survey of General-Purpose Computation on Graphics Hardware Environment as support for simplification, reuse and integration of processes in spatial MAS, Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, IRI -2006 : Heuristic Systems Engineering, pp.80-113, 2006.

S. Picault, From multi-agent simulation to multi-level simulation. Reifying the interactions. Habilitation à diriger des recherches, 2013.
URL : https://hal.archives-ouvertes.fr/tel-00968661

M. Resnick and . Starlogo, An Environment for Decentralized Modeling and Decentralized Thinking, Conference Companion on Human Factors in Computing Systems, CHI '96, pp.11-12, 1996.

C. W. Reynolds, Flocks, Herds and Schools : A Distributed Behavioral Model, Proceedings of the 14th Annual Conference on Computer Graphics and Interactive Techniques, pp.25-34, 1987.

A. Ricci, M. Piunti, and M. Viroli, Environment programming in multi-agent systems: an artifact-based perspective, Autonomous Agents and Multi-Agent Systems, vol.14, issue.1, pp.158-192, 2011.
DOI : 10.1007/s10458-010-9140-7

P. Richmond, D. Walker, S. Coakley, and D. M. Romano, High performance cellular level agent-based simulation with FLAME for the GPU, Briefings in Bioinformatics, vol.11, issue.3, pp.334-381, 2010.
DOI : 10.1093/bib/bbp073

E. Sklar, NetLogo, a Multi-agent Simulation Environment, Artificial Life, vol.13, issue.3, pp.303-311, 2007.
DOI : 10.1162/106454602753694765

M. Viroli, A. Omicini, and A. Ricci, Engineering MAS environment with artifacts, Environments for Multi-Agent Systems, pp.62-77, 2006.