J. Ahnstrm, J. Hckert, H. L. Berge, C. A. Francis, P. Skelton et al., Farmers and nature conservation: what is known about attitudes, context factors and actions affecting conservation? Renew Agric. Food Syst Landuse change arising from rural land exchange: an agent-based simulation model A cognition-based view of decision processes in complex social ecological systems, Landsc. Ecol. Ecol. Soc, vol.24, issue.12, pp.273-28627, 2007.

C. Bertsch, E. Ahle, and U. Schulmeister, The Functional Mockup Interface - seen from an industrial perspective, Proceedings of the 10th International Modelica Conference, March 10-12, 2014, Lund, Sweden, pp.2014-2041, 2014.
DOI : 10.3384/ecp1409627

V. Bewick, L. Cheek, and J. Ball, Statistics review 9: one-way analysis of variance, Critical Care, vol.8, issue.2, pp.130-136, 2004.
DOI : 10.1186/cc2836

T. Blochwitz, M. Otter, J. R. Akesson, M. Arnold, C. Clau et al., The Functional Mockup Interface for Tool independent Exchange of Simulation Models, Proceedings from the 8th International Modelica Conference, Technical Univeristy, Dresden, Germany, pp.173-184, 2012.
DOI : 10.3384/ecp11063105

L. A. Bollinger, I. Nikoli, C. B. Davis, and G. P. Dijkema, Multimodel Ecologies: Cultivating Model Ecosystems in Industrial Ecology, Journal of Industrial Ecology, vol.91, issue.13, pp.252-263, 2015.
DOI : 10.1111/jiec.12253

P. Caillou, B. Gaudou, A. Grignard, Q. C. Truong, and P. Taillandier, A Simple-to-Use BDI Architecture for Agent-Based Modeling and Simulation, The Eleventh Conference of the European Social Simulation Association, 2015.
DOI : 10.1007/978-3-319-47253-9_2

URL : https://hal.archives-ouvertes.fr/hal-01216165

A. Case and J. Cohen, Neighborhood influence and technological change, Regional Science and Urban Economics, vol.22, issue.3, pp.491-508, 1960.
DOI : 10.1016/0166-0462(92)90041-X

J. Dahmann, R. Fujimoto, and R. Weatherly, The DoD High Level Architecture: an update, 1998 Winter Simulation Conference. Proceedings (Cat. No.98CH36274), pp.797-804, 1998.
DOI : 10.1109/WSC.1998.745066

J. S. Dahmann, M. , and K. L. , High Level Architecture for simulation: an update, Proceedings. 2nd International Workshop on Distributed Interactive Simulation and Real-Time Applications (Cat. No.98EX191), p.694563, 1998.
DOI : 10.1109/DISRTA.1998.694563

B. Edmonds, M. , and S. , From KISS to KIDS ??? An ???Anti-simplistic??? Modelling Approach, Multi-Agent and Multi-Agent-Based Simulation, pp.130-144, 2005.
DOI : 10.1007/978-3-540-32243-6_11

A. Org-grignard, P. Taillandier, B. Gaudou, D. A. Vo, N. Q. Huynh et al., GAMA Platform -GAMA is an Agent-Based, Spatially Explicit, Modeling and Simulation Platform Available online at: http://gama-platform GAMA 1.6: advancing the art of complex Agent-Based Modeling and Simulation, PRIMA 2013: Principles and Practice of Multi-Agent Systems, Number 8291 in Lecture Notes in Computer Science, pp.117-131, 2007.

P. Guyot, A. Drogoul, and C. Lemaître, Using emergence in participatory simulations to design multi-agent systems, Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems , AAMAS '05, pp.199-203, 2005.
DOI : 10.1145/1082473.1082503

L. Hamill, G. , and N. , Social circles: a simple structure for agent-based social network models, J. Artif. Soc. Soc, vol.12, p.3, 2009.

D. R. Hild, Discrete Event System Specification (Devs) Distributed Object Computing (Doc) Modeling and Simulation, 2000.

D. R. Hill, Theory of Modelling and Simulation: Integrating Discrete Event and Continuous Complex Dynamic Systems: Second Edition by B. P. Zeigler, H. Praehofer, T. G. Kim, Academic Press, San Diego, CA, 2000., International Journal of Robust and Nonlinear Control, vol.12, issue.1, pp.91-92610, 2000.
DOI : 10.1002/rnc.610

H. Huang, L. Wang, X. Zhang, Y. Luo, and L. Zhao, Coupling multiagent model and GIS to simulate pine wood nematode disease spread in ZheJiang province, Proceedings of Spie the International Society for Optical Engineering, International Conference, pp.16-10812557, 1117.

N. Q. Huynh, H. X. Huynh, A. Drogoul, and C. Cambier, Comodeling: an agent-based approach to support the coupling of heterogeneous models, Nature of Computation and Communication, Number 144 in Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, International Conference Vinh, E. Vassev, and M. Hinchey, pp.156-170, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01124399

G. G. Judge, R. C. Hill, W. Griffiths, H. Lutkepohl, L. et al., Introduction to the Theory and Practice of Econometrics., Journal of the American Statistical Association, vol.83, issue.404, 1988.
DOI : 10.2307/2290184

W. Junjie, Land use changes: economic, social, and environmental impacts Available online at, Choices, vol.23, pp.6-1094681, 2008.

J. G. Kemeny and J. L. Snell, Finite Markov Chains: With a New Appendix "Generalization of a Fundamental Matrix, 1983.

K. T. Kim, Proposal of High Level Architecture Extension, Artificial Intelligence and Simulation, number 3397 in Lecture Notes in Computer Science, pp.128-137, 2005.
DOI : 10.1007/978-3-540-30583-5_14

E. Lambin and H. J. Geist, Causes of Land-Use and Land-Cover Change. Retrieved from, 2007.

E. F. Lambin, Modelling and monitoring land-cover change processes in tropical regions, Progress in Physical Geography, vol.21, issue.3, pp.375-393, 1997.
DOI : 10.1177/030913339702100303

Q. B. Le, S. J. Park, P. L. Vlek, and A. B. Cremers, Land-Use Dynamic Simulator (LUDAS): A multi-agent system model for simulating spatio-temporal dynamics of coupled human???landscape system. I. Structure and theoretical specification, Ecological Informatics, vol.3, issue.2, pp.135-153, 2008.
DOI : 10.1016/j.ecoinf.2008.04.003

X. Li, W. Wang, Y. Lei, L. , and Q. , An Agent-Centered Multi-Formalism Modeling Framework for SoS Behavior, Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013), pp.624-629, 2013.
DOI : 10.2991/iccsee.2013.159

C. F. Mena, S. J. Walsh, B. G. Frizzelle, Y. Xiaozheng, and G. P. Malanson, Land use change on household farms in the Ecuadorian Amazon: Design and implementation of an agent-based model, Applied Geography, vol.31, issue.1, pp.210-222, 2011.
DOI : 10.1016/j.apgeog.2010.04.005

F. Michel, J. Ferber, and A. Drogoul, Multi-agent systems and simulation: a survey from the agents community's perspective, Multi-Agent Systems: Simulation and Applications, Computational Analysis, Synthesis, and Design of Dynamic Systems, p.47, 2009.

E. Moreira, S. Costa, A. P. Aguiar, G. Cmara, C. et al., Dynamical coupling of multiscale land change models, Landscape Ecology, vol.153, issue.9, pp.1183-1194, 2009.
DOI : 10.1007/s10980-009-9397-x

D. Murray-rust, D. T. Robinson, E. Guillem, E. Karali, and M. Rounsevell, An open framework for agent based modelling of agricultural land use change, Environmental Modelling & Software, vol.61, pp.19-38, 2014.
DOI : 10.1016/j.envsoft.2014.06.027

M. T. Nguyen, M. Q. Vo, and G. T. Vo, Suitable land use zoning in line with climate change scenarios for three coastal districts in Ben Tre province. Vietnam Soil Sci, pp.68-74, 2014.

N. D. Nguyen, A. Drogoul, and P. Auger, Methodological Steps and Issues When Deriving Individual Based-Models from Equation-Based Models: A Case Study in Population Dynamics, Proceedings of the Intelligent Agents and Multi-Agent Systems, 11th Pacific Rim International Conference on Multi- Agents, pp.295-306, 2008.
DOI : 10.1007/978-3-540-89674-6_33

T. W. Nicolai, L. Wang, K. Nagel, and P. Waddell, Coupling an urban simulation model with a travel modela first sensitivity test, Proceedings of the Computers in Urban Planning and Urban Management (CUPUM '11) (Lake Louise, AB), pp.11-18, 2011.

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

D. C. Parker, T. Berger, and S. M. Manson, Agent-based models of landuse and land-cover change, Report and Review of an International Workshop, 2002.

D. C. Parker, S. M. Manson, M. A. Janssen, M. J. Hoffman, P. et al., Multi-Agent Systems for the Simulation of Land-Use and Land-Cover Change: A Review, Annals of the Association of American Geographers, vol.1, issue.2, pp.316-340, 2003.
DOI : 10.1038/35065672

L. Parrott, Hybrid modelling of complex ecological systems for decision support: Recent successes and future perspectives, Ecological Informatics, vol.6, issue.1, pp.44-49, 2011.
DOI : 10.1016/j.ecoinf.2010.07.001

G. V. Quesnel, Coupling of physical models and social models: multi-modeling and simulation with VLE, Joint Conference on Multi- Agent Modelling for Environmental Management (CABM-HEMA-SMAGET05), pp.21-25, 2005.

M. Rajeevan and R. Nanjudiah, Coupled model simulations of twentieth century climate of the indian summer monsoon, Curr. Trends Sci, pp.537-567, 2009.

A. Rao and M. Georgeff, Modeling rational agents within a BDI-architecture, Proceedings of the 2nd International Conference on Principles of Knowledge Representation and Reasoning, pp.473-484, 1991.

S. Rochette, M. Huret, E. Rivot, L. Pape, and O. , Coupling hydrodynamic and individual-based models to simulate long-term larval supply to coastal nursery areas, Fisheries Oceanography, vol.37, issue.4, 2012.
DOI : 10.1111/j.1365-2419.2012.00621.x

F. Rousseaux, E. Bocher, A. Gourlay, and G. Petit, Toward a coupling between GIS and agent simulation: USM, an OrbisGIS extension to model urban evolution at a large scale, OGRS 2012 Proceedings (Switzerland), pp.206-214, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00750012

S. Serneels and E. F. Lambin, Proximate causes of land-use change in Narok District, Kenya: a spatial statistical model, Agriculture, Ecosystems & Environment, vol.85, issue.1-3, pp.65-81, 2001.
DOI : 10.1016/S0167-8809(01)00188-8

A. Smajgl, T. Q. Toan, D. K. Nhan, J. Ward, N. H. Trung et al., Responding to rising sea levels in the Mekong??Delta, Nature Climate Change, vol.2, issue.2, pp.167-174, 1038.
DOI : 10.1016/j.futures.2013.07.002

A. L. Steiner, J. S. Pal, S. A. Rauscher, J. L. Bell, N. S. Diffenbaugh et al., Land surface coupling in regional climate simulations of the West African monsoon, Climate Dynamics, vol.11, issue.4, pp.869-892, 2009.
DOI : 10.1007/s00382-009-0543-6

P. Subedi, K. Subedi, and B. Thapa, Application of a Hybrid Cellular Automaton ??? Markov (CA-Markov) Model in Land-Use Change Prediction: A Case Study of Saddle Creek Drainage Basin, Florida, Applied Ecology and Environmental Sciences, vol.1, issue.6, pp.126-132, 2013.
DOI : 10.12691/aees-1-6-5

P. Taillandier, T. , and O. , Use of the belief theory to formalize agent decision making processes: application to cropping plan decision making, European Simulation and Modelling Conference, pp.138-142, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00688405

S. B. Trickett and J. G. And-trafton, "What if???": The Use of Conceptual Simulations in Scientific Reasoning, Cognitive Science: A Multidisciplinary Journal, vol.31, issue.5, pp.843-875, 2007.
DOI : 10.1080/03640210701530771

Q. C. Truong, P. Taillandier, B. Gaudou, M. Q. Vo, T. H. Nguyen et al., Exploring agent architectures for farmer behavior in land-use change. A case study in coastal area of the Vietnamese Mekong Delta, " in Multi- Agent Based Simulation XVI An agentbased approach to model land-use change at a regional scale, Lecture Notes in Computer Science, eds B. Gaudou and J. S. Sichman Landsc. Ecol, vol.25, pp.146-158, 1007.
URL : https://hal.archives-ouvertes.fr/hal-01484963

H. Vangheluwe, DEVS as a common denominator for multi-formalism hybrid systems modelling, CACSD. Conference Proceedings. IEEE International Symposium on Computer-Aided Control System Design (Cat. No.00TH8537), pp.129-134, 2000.
DOI : 10.1109/CACSD.2000.900199

H. Visser and T. De-nijs, The Map Comparison Kit, Environmental Modelling & Software, vol.21, issue.3, pp.346-358, 2006.
DOI : 10.1016/j.envsoft.2004.11.013

Q. M. Vo, L. , and Q. T. , Soils of the Mekong delta, based on WRB (World Reference Based) -FAO system, at the scale 1/250.000, Collection of the research scientific of College of Agriculture and Applied Biology, pp.147-156, 2006.

E. Yez, S. Hormazbal, C. Silva, A. Montecinos, M. A. Barbieri et al., Coupling between the environment and the pelagic resources exploited off northern chile: ecosystem indicators and a conceptual model, Lat. Am. J. Aquat. Res, vol.36, pp.159-181, 2008.

K. B. Young, E. J. Wailes, G. L. Cramer, and N. T. Khiem, Vietnam's Rice Economy: Developments and Prospects. Research report, Arkansas Agricultural Experiment Station, Arkansas Available online at: http://arkansasagnews.uark. edu/968 The DEVS environment for high-performance modeling and simulation, IEEE Comput. Sci. Eng, vol.499, pp.61-71, 1109.

L. Zhao and Z. Peng, LandSys: an agent-based Cellular Automata model of land use change developed for transportation analysis, Journal of Transport Geography, vol.25, pp.35-49, 2012.
DOI : 10.1016/j.jtrangeo.2012.07.006