E. Amouroux, T. Q. Chu, A. Boucher, and A. Drogoul, GAMA: An Environment for Implementing and Running Spatially Explicit Multi-agent Simulations, pp.359-371, 2007.
DOI : 10.1007/3-540-64574-8_469

E. Amouroux, S. Desvaux, and A. Drogoul, Towards Virtual Epidemiology: An Agent-Based Approach to the Modeling of H5N1 Propagation and Persistence in North-Vietnam, pp.26-33, 2008.
DOI : 10.1007/978-3-540-89674-6_6

N. Vu, Q. A. Gaudou, B. Canal, R. Hassas, and S. , Coherence and robustness in a disturbed MAS, IEEE-RIVF IEEE, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00450231

T. Q. Chu, A. Drogoul, A. Boucher, and J. Zucker, Interactive Learning of Independent Experts' Criteria for Rescue Simulations, Journal of Universal Computer Science, vol.15, issue.13, pp.2701-2725, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00592122

P. Taillandier and E. Buard, Designing Agent Behaviour in Agent-Based Simulation through Participatory Method, pp.571-578, 2009.
DOI : 10.1007/978-3-642-11161-7_43

URL : https://hal.archives-ouvertes.fr/hal-00689140

A. Ruas and C. Duchêne, A prototype generalisation system based on the multi-agent system paradigm. Generalisation of Geographic information: cartographic modelling and applications, pp.269-284, 2007.

N. Minar, R. Burkhart, C. Langton, and M. Askenazi, The Swarm Simulation System: A Toolkit for Building Multi-Agent Simulations, SFI Working Paper, pp.96-102, 1996.

P. Box, Spatial Units as Agents. Integrating GIS and Agent-Based Modelling Techniques, 2002.

M. Haklay, D. O-'sullivan, M. Thurstain-goodwin, and T. Schelhorn, So Go Downtown": Simulating Pedestrian Movement in Town Centres, Environment and Planning B: Planning and Design, pp.343-359, 2001.

E. Russell and U. Wilensky, Consuming spatial data in NetLogo using the GIS Extension. The annual meeting of the Swarm Development Group, 2008.

F. Bousquet, I. Bakam, H. Proton, L. Page, and C. , Cormas: Common-pool resources and multi-agent systems, IEA/AIE, vol.2, pp.826-837, 1998.
DOI : 10.1007/3-540-64574-8_469

D. Urbani and M. Delhom, Analyzing Knowledge Exchanges in Hybrid MAS GIS Decision Support Systems, Toward a New DSS Architecture, pp.323-332, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00373291

M. J. North, N. T. Collier, and J. R. Vos, Experiences creating three implementations of the repast agent modeling toolkit, ACM Transactions on Modeling and Computer Simulation, vol.16, issue.1, pp.1-25, 2006.
DOI : 10.1145/1122012.1122013

M. J. North, E. Tatara, N. T. Collier, and J. Ozik, Visual Agent-based Model Development with Repast Simphony, Conference on Complex Interaction and Social Emergence, 2007.

E. W. Dijkstra, A short introduction to the art of programming. Technological Univ, p.316, 1971.

R. W. Floyd, Algorithm 97: Shortest path, Communications of the ACM, vol.5, issue.6, p.345, 1962.
DOI : 10.1145/367766.368168

S. Camazine, Self-Organization in Biological Systems, 2001.

L. Breton, A Multi-Agent Based Simulation of Sand Piles in a Static Equilibrium, MABS, 2000.
DOI : 10.1007/3-540-44561-7_8

D. Pelleg and A. W. Moore, X-means: Extending K-means with Efficient Estimation of the Number of Clusters, International Conference on Machine Learning, pp.727-734, 2000.

J. H. Gennari, P. Langley, and D. Fisher, Models of incremental concept formation, Artificial Intelligence, vol.40, issue.1-3, pp.11-61, 1990.
DOI : 10.1016/0004-3702(89)90046-5