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, Intelligent Agents and Multi-Agent Systems, pp.26-33, 2008.
DOI : 10.1007/978-3-540-89674-6_6

M. Roy, R. M. Anderson, and . May, Population biology of infectious diseases : Part i and ii, Nature, vol.280, pp.361-367, 1979.

. [. Arrow, Raynaud : Social choice and Multicriteria decision making, 1986.

. Aum07 and A. Graig, Aumann : A methodology for developing simulation models of complex systems, Ecological Modelling, vol.202, pp.385-396, 2007.

J. P. Bonjour, B. Angot, M. Dufour, and . Sanaa, Toma : une métode quantitative d'évaluation des services vététerinaires dans le cadre de l'analyse de risque à l'importation d'animaux vivants, pp.39-63, 1999.

J. Fernando and . Barros, Dynamic structure discret event system specification : Formalism, abstract simulators and applications, Winter Simulation, vol.13, issue.1, pp.35-46, 1996.

J. Fernando and . Barros, Modeling formalisms for dynamic structure systems, ACM Trans. Model. Comput. Simul, vol.7, pp.501-515, 1997.

J. Fernando and . Barros, Dynamic structure multiparadigm modeling and simulation, ACM Trans. Model. Comput. Simul, vol.13, pp.259-275, 2003.

[. Barthélemy and A. Barrat, Dynamical patterns of epidemic outbreaks in complex heterogeneous networks, Journal of Theoretical Biology, vol.235, issue.2, pp.275-288, 2005.
DOI : 10.1016/j.jtbi.2005.01.011

. [. Bonté and . Duboz, A modular simulation tool to help designing epidemics surveillance : Work in progress. Poster présenté à la conférence ICAHS, pp.17-20, 2011.

[. Bonté, R. Duboz, G. Quesnel, and J. Müller, Recursive simulation and experimental frame for multiscale BIBLIOGRAPHIE [Fer95] Jacques Ferber : Les systèmes multi-agents. Vers une intelligence collective, 1995.

[. Filipe and G. Gibson, Comparing Approximations to Spatio-temporal Models for Epidemics with Local Spread, Bulletin of Mathematical Biology, vol.63, issue.4, pp.603-624, 2001.
DOI : 10.1006/bulm.2001.0234

M. [. Fuentes and . Kuperman, Cellular automata and epidemiological models with spatial dependence. Physica A : Statistical and Theoretical Physics, pp.3-4471, 1999.
DOI : 10.1016/s0378-4371(99)00027-8

[. Farolfi, J. Müller, and B. Bonté, An iterative construction of multi-agent models to represent water supply and demand dynamics at the catchment level, Environmental Modelling & Software, vol.25, issue.10, pp.251130-1148, 2010.
DOI : 10.1016/j.envsoft.2010.03.018

]. C. Fol06 and . Folke, Resilience : The emergence of a perspective for social ecological systems analyses, Global Environmental Change, vol.16, pp.253-267, 2006.

]. G. Gal91 and . Gallopìn, Human dimension of global change : linking the local and the global processes, International Social Science Journal, vol.130, pp.707-718, 1991.

C. A. Goble, J. Bhagat, S. Aleksejevs, D. Cruickshank, D. Michaelides et al., myExperiment: a repository and social network for the sharing of bioinformatics workflows, Nucleic Acids Research, vol.38, issue.Web Server, pp.677-682, 2010.
DOI : 10.1093/nar/gkq429

V. Grimm, U. Berger, F. Bastiansen, S. Eliassen, V. Ginot et al., A standard protocol for describing individual-based and agent-based models, Ecological Modelling, vol.198, issue.1-2, pp.115-126, 2006.
DOI : 10.1016/j.ecolmodel.2006.04.023

]. V. Gbd-+-10, . Grimm, . Berger, . Dl-deangelis, J. Polhill et al., The odd protocol : a review and first update, Ecological Modelling, vol.221, pp.2760-2768, 2010.

T. [. Greenberg, Park : Political ecology, Journal of Political Ecology, vol.1, issue.1, 1994.

B. John, F. J. Gilmer, and . Sullivan, Issues in event analysis for recursive simulation

[. House and M. J. Keeling, Insights from unifying modern approximations to infections on networks, Journal of The Royal Society Interface, vol.31, issue.6, 2010.
DOI : 10.1097/00007435-200406000-00012

M. Höhle, $${\tt surveillance}$$ : An R package for the monitoring of infectious diseases, Computational Statistics, vol.9, issue.9, pp.571-582, 2007.
DOI : 10.1007/s00180-007-0074-8

[. Höhle, M. Paul, and L. Held, Statistical approaches to the monitoring and surveillance of infectious diseases for veterinary public health. Preventive Veterinary Medicine, 2009.

T. D. Harwood, X. Xu, M. Pautasso, M. J. Jeger, and M. W. Shaw, Epidemiological risk assessment using linked network and grid based modelling: Phytophthora ramorum and Phytophthora kernoviae in the UK, Ecological Modelling, vol.220, issue.23, 2009.
DOI : 10.1016/j.ecolmodel.2009.08.014

R. [. Kennedy and . Eberhart, Particle swarm optimization, Proceedings of ICNN'95, International Conference on Neural Networks, pp.1942-1948, 1995.
DOI : 10.1109/ICNN.1995.488968

J. Matt, T. Keeling-et-ken, and . Eames, Networks and epidemic models, Journal of The Royal Society Interface, vol.2, issue.4, pp.295-307, 2005.

[. Keeling, The implications of network structure for epidemic dynamics, Theoretical Population Biology, vol.67, issue.1, pp.1-8, 2005.
DOI : 10.1016/j.tpb.2004.08.002

A. Kirman, Agent based models and the crisis, Proceedings of ESSA Conference, 2011.

[. Kofman and S. Junco, Quantized state systems. a DEVS approach for continuous systems simulation, pp.123-132, 2001.

]. G. Kli85 and . Klir, Architecture of Systems Complexity, 1985.

P. [. Keeling, Rohani : Modelling Infectious Diseases In Humans And Animals, 2007.

H. [. Kuperman and . Wio, Front propagation in epidemiological models with spatial dependence. Physica A : Statistical Mechanics and its Applications, pp.206-222, 1999.

. J. Matt, . Keeling, E. J. Mark, D. J. Woolhouse, L. Shaw et al., Grenfell : Dynamics of the 2001 UK Foot and Mouth Epidemic : Stochastic Dispersal in a Heterogeneous Landscape, Science, issue.5543, pp.294813-817, 2001.

R. [. Levin and . Durrett, From Individuals to Epidemics, Philosophical Transactions of the Royal Society B: Biological Sciences, vol.351, issue.1347, pp.1615-1621179, 1347.
DOI : 10.1098/rstb.1996.0145

W. William, L. V. Turechek, and . Madden, Effect of scale on plant disease incidence and heterogeneity in a spatial hierarchy, Ecological Modelling, vol.144, issue.1, pp.77-95, 2001.

K. Tra06-]-muzy-alexandre-traore and . Mamadou, Capturing the dual relationship between simulation models and their context. Simulation Modelling Practice and Theory, pp.126-142, 2006.

[. Tropper, Parallel Discrete-Event Simulation Applications, Journal of Parallel and Distributed Computing, vol.62, issue.3, pp.327-335, 2002.
DOI : 10.1006/jpdc.2001.1794

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.23.7865

]. R. Val91 and . Vallée, Systémique et Cognition, chapitre La cognition et le paradoxe de l'"observation -action, Afcet Systèmes. Dunod, 1991.

F. J. Varela, Les sciences cognitives, Connaître. Seuil, 1988.
URL : https://hal.archives-ouvertes.fr/halshs-00435594

. Vdb-+-10-]-t, B. Vergne, B. Dufour, S. Bonté, T. San et al., Simulation of cr methods as a new tool to assess animal disease surveillance : application to fmd outbreak reports in cambodia. Poster presentation SVPEM conference, 2010.

F. [. Vergne, D. Goutardand, C. Holland, F. Belletand, V. Rogerand et al., Capture-recapture as a tool to assess animal disease surveillance : the example of foot-and-mouth disease in cambodia, Proceedings of the first ICAHS Conference, pp.1942-1948, 2011.

. Vgs-+-10-]-t, V. Vergne, S. Grosbois, T. San, F. Sothyra et al., How to design a second source for an effective capture-recapture analysis ? the example of foot-and-mouth disease in cambodia, AITVM conference, 2010.

H. [. Varela, R. Maturana, and . Uribea, Autopoiesis: The organization of living systems, its characterization and a model, Biosystems, vol.5, issue.4, pp.187-196, 1974.
DOI : 10.1016/0303-2647(74)90031-8

]. J. Von-neumann and O. , Morgenstern : Theory of Games and Economic Behavior, 1947.

F. J. Varela, E. Thompson, and E. Rosch, L'inscription corporelle de l'esprit. Seuil, 1993.

[. Walliser, Systèmes et modèles Introduction critique à l'analyse de systèmes. Seuil, 1977.

M. S. Williams, E. D. Ebel, and J. Scott, Population inferences from targeted sampling with uncertain epidemiologic information, Preventive Veterinary Medicine, vol.89, issue.1-2, pp.25-33, 2009.
DOI : 10.1016/j.prevetmed.2008.12.008

B. Wikipédia, Informatique ? wikipédia, l'encyclopédie libre [En ligne, 2011.

L. [. Willeberg, P. Paisley, and . Lind, Epidemiological models to support animal disease surveillance activities, Revue Scientifique et Technique de l'OIE, vol.30, issue.2, pp.603-614, 2011.
DOI : 10.20506/rst.30.2.2059

Y. Levent and M. Bradley, Activity-Based Modeling and Simulation, chapitre Generative Multisimulation : Decision- Support under Uncertainty using Evolutionary Multimodels, 2010.

[. Yamamoto, T. Tsutsui, A. Nishiguchi, and S. Kobayashi, Evaluation of surveillance strategies for bovine brucellosis in Japan using a simulation model, Preventive Veterinary Medicine, vol.86, issue.1-2, pp.57-74, 2008.
DOI : 10.1016/j.prevetmed.2008.03.004

]. L. Zad99, Zadeh : Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems, pp.9-34, 1999.

P. Bernard, T. Zeigler, H. Kim, . Praehofer, ?. ?. ??? et al., Theory of modeling and simulation : Integrating Discrete Event and Continuous Complex Dynamic Systems, 2000.

?. ?. , ?. ???????@bullet, ?. ?. , ?. , ?. et al., ?t? t??t t?? ?? ?s ??r? ???s? t? t?? ??? r?s??ts ??? t??t t?? ?? ?s ??t s??????t t? ???r?????t? t?? ???? ??t? t??t t??s ???r? s???s t?? ??s? ???r? t?? ????r???? ?s t?? ?????st ??t???? t??

?. , ?. , ?. ?. , ?. ??-?-?t?-?-?-t???-?-?q??-t-?-???r?ss-t??-?ss??-?-?-s?, ?. et al., ???? t??t t?? s?????t??? r?s??ts ?? t?? ?? ?r? ???s?r t? t?? ??? r?s??ts t??? ?? r?s??ts ?r?? ?? ??s? ??s?r?? t??t ?? r?s??ts ??? ??? r?s??ts ?r? ??r? ???s? ??? ?? t??? ???????? t??t ?? ??t??r?t?s ??rr??t?? t?? ??????? s??t??? str??t?r?? ??rt??r ??r?

?. ?. , ?. , ?. ??-?-?t-?-?-?-t??ts-??t???-?-?-?-?-?-?@bullets-??s-?@bulletr????, @. ??-?@bullet@bullet?rs-t, ?. ???@bullet?-???-??s?? et al., ?? s????ss??? ?s ??r ?s t?? ??? ?s ????r?? s???????? ??????r? t?sts r?

?. ??@bullet?, ?. ??-???-?tt?, ?. ???, ?. ?. , ?. et al., A methodology for developing simulation models of complex systems, Ecological Modelling, vol.202, pp.385-396, 2007.

F. J. Barros, Dynamic structure discret event system specification: Formalism, abstract simulators and applications, Winter Simulation, vol.13, issue.1, pp.35-46, 1996.
DOI : 10.1109/wsc.1995.478858

F. Bergero and E. Kofman, PowerDEVS: a tool for hybrid system modeling and real-time simulation, SIMULATION, vol.87, issue.1-2, pp.113-132, 2011.
DOI : 10.1177/0037549710368029

B. Bonté, R. Duboz, G. Quesnel, and J. Müller, Recursive simulation and experimental frame for multiscale simulation, SCSC'09: Summer Computer Simulation Conference, 2009.

F. Bousquet and C. L. Page, Multi-agent simulations and ecosystem management: a review, Ecological Modelling, vol.176, pp.3-4313, 2004.

M. Choisy, J. Gueguan, and P. Rohani, Encyclopedia of Infectious Diseases: Modern Methodologies, chapter Mathematical Modeling of Infectious Diseases Dynamics, 2007.

R. Chreyh and G. Wainer, Cd++ repository: an internet based searchable database of devs models and their experimental frames, Proceedings of the 2009 Spring Simulation Multiconference, SpringSim '09 Society for Computer Simulation International, pp.1-159, 2009.

R. Duboz, E. Ramat, and P. Preux, Scale transfer modelling: Using emergent computation for coupling an ordinary differential equation system with a reactive agent model. Systems Analysis Modelling Simulation, pp.793-814, 2003.

R. Duboz, D. Versmisse, G. Quesnel, A. Muzzy, and E. Ramat, Specification of dynamic structure discrete event multiagent systems, In Agent Directed Simulation (Spring Simulation Multiconference), 2006.

B. Durand, M. A. Dubois, P. Sabatier, D. Calavas, C. Ducrot et al., Multiscale modelling of scrapie epidemiology, Ecological Modelling, vol.179, issue.4, pp.515-531, 2004.
DOI : 10.1016/j.ecolmodel.2004.05.015

URL : https://hal.archives-ouvertes.fr/hal-00162572

G. Gianni and P. Sara, Use of individual-based models for population paramters estimation, Ecological Modelling, vol.200, pp.109-118, 2007.

J. B. Gilmer and F. J. Sullivan, Issues in Event Analysis for Recursive Simulation, Proceedings of the Winter Simulation Conference, 2005., pp.1234-1241
DOI : 10.1109/WSC.2005.1574382

L. R. Ginzburg and C. X. Jensen, Rules of thumb for judging ecological theories, Trends in Ecology & Evolution, vol.19, issue.3, pp.121-126, 2004.
DOI : 10.1016/j.tree.2003.11.004

C. A. Goble, J. Bhagat, S. Aleksejevs, D. Cruickshank, D. Michaelides et al., myExperiment: a repository and social network for the sharing of bioinformatics workflows, Nucleic Acids Research, vol.38, issue.Web Server, pp.677-682, 2010.
DOI : 10.1093/nar/gkq429

V. Grimm, U. Berger, F. Bastiansen, S. Eliassen, V. Ginot et al., A standard protocol for describing individual-based and agent-based models, Ecological Modelling, vol.198, issue.1-2, pp.115-126, 2006.
DOI : 10.1016/j.ecolmodel.2006.04.023

W. Jacek and J. Wojciech, Individual based modeling and parameter estimation for lotka-volterra system, Mathematical Biosciences, vol.157, pp.23-36, 1999.

M. J. Keeling and B. T. , Individual-based Perspectives on R0, Journal of Theoretical Biology, vol.203, issue.1, pp.51-61, 2000.
DOI : 10.1006/jtbi.1999.1064

M. J. Keeling and P. Rohani, Modeling Infectious Diseases in humans and animals, 2008.

E. Kofman and S. Junco, Quantized state systems. a DEVS approach for continuous systems simulation, Transactions of the Society for Computer Simulation International, pp.123-132, 2001.

A. Maccagnan, M. Riva, E. Feltrin, B. Simionati, T. Vardanega et al., Combining ontologies and workflows to design formal protocols for biological laboratories, Automated Experimentation, vol.2, issue.1, pp.1759-4499
DOI : 10.1186/1759-4499-2-3

S. E. Perkins, F. Cagnacci, A. Stradiotto, D. Arnoldi, and P. J. Hudson, Comparison of social networks derived from ecological data: implications for inferring infectious disease dynamics, Journal of Animal Ecology, vol.55, issue.5, pp.1015-1022, 2009.
DOI : 10.1111/j.1365-2656.2009.01557.x

N. Picard and A. Franc, Aggregation of an individual-based space-dependent model of forest dynamics into distribution-based and space-independent models, Ecological Modelling, vol.145, issue.1, pp.69-84, 2001.
DOI : 10.1016/S0304-3800(01)00380-5

URL : https://hal.archives-ouvertes.fr/cirad-00145218

G. Quesnel, R. Duboz, and E. Ramat, The Virtual Laboratory Environment ? An operational framework for multimodelling , simulation and analysis of complex dynamical systems. Simulation Modelling Practice and Theory, pp.641-653, 2009.

H. Rahmandad and J. Sterman, Heterogeneity and Network Structure in the Dynamics of Diffusion: Comparing Agent-Based and Differential Equation Models, Management Science, vol.54, issue.5, pp.998-1014, 2008.
DOI : 10.1287/mnsc.1070.0787

B. Roche, J. Guegan, and F. Bousquet, Multi-agent systems in epidemiology: a first step for computational biology in the study of vector-borne disease transmission, BMC Bioinformatics, vol.9, issue.1, p.435, 2008.
DOI : 10.1186/1471-2105-9-435

P. Sabatier, B. Durand, M. Dubois, C. Ducrot, D. Calavas et al., Multiscale modelling of scrapie epidemiology, Ecological Modelling, vol.180, issue.2-3, pp.233-252, 2004.
DOI : 10.1016/j.ecolmodel.2004.05.012

URL : https://hal.archives-ouvertes.fr/hal-00162572

M. K. Traore and A. Muzy, Capturing the dual relationship between simulation models and their context. Simulation Modelling Practice and Theory, pp.126-142, 2006.

J. Treuil, A. Drogoul, and J. Zucker, Modelisation et simulation a base d'agents -Exemples commentes, outils informatiques et questions theoriques, 2008.

G. A. Wainer and N. Giambiasi, Application of the Cell-DEVS Paradigm for Cell Spaces Modelling and Simulation, Simulation, pp.22-39, 2001.
DOI : 10.1177/003754970107600102

E. Weinan and B. Engquist, The heterogeneous multi-scale methods, Comm. Math. Sci, vol.1, pp.87-132, 2002.

B. P. Zeigler, T. G. Kim, and H. Praehofer, Theory of modeling and simulation: Integrating Discrete Event and Continuous Complex Dynamic Systems, 2000.

]. G. Bra73 and . Braziller, Hierarchy Theory, The Challenge of Complex Systems, 1973.

[. Chreyh and G. Wainer, Cd++ repository : an internet based searchable database of devs models and their experimental frames, Proceedings of the 2009 Spring Simulation Multiconference, SpringSim '09 Society for Computer Simulation International, pp.1-159, 2009.

E. [. Duboz, G. Ramat, and . Quesnel, Systèmes multiagents et théorie de la modélisation et de la simulation : une analogie opérationnelle, Actes des douzièmes Journées Francophones sur les Systèmes Multi-Agents (JF- SMA) -Systèmes multi-agents défis scientifiques et nouveaux usages, 2004.

]. J. Fei54 and . Feibleman, Theory of integrative levels, Br. J. Philos. Sci, vol.5, issue.17, pp.59-66, 1954.

]. V. Gud-+-10, . Grimm, U. Berger, D. Deangelis, G. Polhill et al., The odd protocol : a review and first update, Ecological Modelling, vol.221, pp.2760-2768, 2010.

]. C. Hah08 and . Hahn, A domain specific modeling language for multiagent systems, Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems, 2008.

]. G. Kli85 and . Klir, Architecture of Systems Complexity, 1985.

G. [. Labiche and . Wainer, Towards the verification and validation of devs models, Proceedings of 1st Open International Conference on Modeling and Simulation, pp.295-305, 2005.

J. [. Padgham, M. Thangarajah, and . Winikoff, AUML protocols and code generation in the Prometheus design tool, Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems , AAMAS '07
DOI : 10.1145/1329125.1329451

[. Quesnel, R. Duboz, and É. Ramat, The Virtual Laboratory Environment ? An operational framework for multi-modelling, simulation and analysis of complex dynamical systems. Simulation Modelling Practice and Theory, pp.641-653, 2009.

. A. Sds10, D. Sturm, O. Dori, and . Shehory, An object-processbased modeling language for multiagent systems, Systems, Man, and Cybernetics, Part C : Applications and Reviews, vol.40, issue.2, pp.227-241, 2010.

[. Saltelli, S. Tarantola, F. Campolongo, and M. Ratto, Sensitivity Analysis in Practice : A Guide to Assessing Scientific Models, 2004.
DOI : 10.1002/0470870958

J. P. Treuil, A. Drogoul, and J. D. Zucker, Modélisation et simulation à base d'agents. Exemples commentés, outils informatiques et questions théoriques, 2008.

K. Mamadou, A. Traore, and . Muzy, Capturing the dual relationship between simulation models and their context. Simulation Modelling Practice and Theory, Var06] F. Varenne. Les notions de métaphore et d'analogie dans les épistémologies des modèles et des simulations, pp.126-142, 2006.

V. Grimm, U. Berger, F. Bastiansen, S. Eliassen, V. Ginot et al., A standard protocol for describing individual-based and agent-based models, Wai10] G. Wainer. Discrete-event Modeling and Simulation : Theory and Applications, pp.115-126, 2006.
DOI : 10.1016/j.ecolmodel.2006.04.023

]. U. Wil99 and . Wilensky, Netlogo. center for connected learning and computer-based modeling, northwestern university, 1999.

]. B. Zei76 and . Zeigler, Theory Of Modeling and Simulation, 1976.

D. [. Zeigler, H. Kim, and . Praehofer, Theory of modeling and simulation : Integrating Discrete Event and Continuous Complex Dynamic Systems, 2000.

. Zeigler, Simulation Modelling Practice and Theory, References, vol.17, issue.12, pp.641-653, 2000.