A. Banos and C. Lang, Agent-Based Spatial Simulation with NetLogo : Introduction and Bases, 2015.

A. Banos and C. Lang, Simulation À Base D'agent Avec Netlogo, ISTE, vol.1, 2015.

F. Amblard, E. Daudé, B. Gaudou, A. Grignard, G. Hutzler et al., Introduction to NetLogo, Simulation À Base D'agent Avec Netlogo, pp.71-110, 2015.
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A. Banos, A. Boffet-mas, S. Chardonnel, C. Lang, N. Marilleau et al., MIRO, Des Trajectoires Individuelles À La Ville En Mouvement, Modéliser La Ville : Formes Urbaines et Politiques de Transport, pp.216-261, 2010.
URL : https://hal.archives-ouvertes.fr/halshs-00698695

A. Banos, A. Boffet-mas, S. Chardonnel, C. Lang, N. Marilleau et al., Simuler La Mobilité Urbaine Quotidienne : Le Projet MIRO, Mobilités Urbaines et Risques Des Transports - Approches Géographiques, pp.51-86, 2010.

A. Banos, P. Caillou, B. Gaudou, and N. Marilleau, Exploration de Modèles Agent, Simulation À Base D'agent Avec Netlogo, pp.111-59

I. Becu, F. Nicolas, N. Amblard, B. Gaudou, and N. Marilleau, How to Involve Stakeholders in the Modeling Process, Simulation À Base D'agent Avec Netlogo, ISTE, pp.199-223, 2015.
DOI : 10.1016/B978-1-78548-055-3.50006-X
URL : https://hal.archives-ouvertes.fr/halshs-01453327

N. Becu, F. Amblard, N. , B. Gaudou, and N. Marilleau, Vers Des Modèles Multi-Acteurs, Simulation À Base D'agent Avec Netlogo, pp.199-223, 2015.

F. Bouquet, S. Chipeaux, C. Lang, N. Marilleau, and P. Taillandier, Introduction À L'approche Agent, Simulation À Base D'agent Avec Netlogo, pp.13-34, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01246023

F. Bouquet, D. Sheeren, N. Becu, B. Gaudou, N. Lang et al., Description Formalisms in Agent Models, Description Formalisms in Agent Models, pp.29-73, 2015.
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F. Bouquet, D. Sheeren, N. Becu, B. Gaudou, N. Lang et al., Formalismes de Description Des Modèles, Simulation À Base D'agent Avec Netlogo, ISTE, pp.35-69, 2015.

. Gaudou, N. Benoit, T. Marilleau, and . Ho, Toward a Methodology of Collaborative Modeling and Simulation of Complex Systems, Intelligent Networking, Collaborative Systems and Applications, pp.27-53, 2011.
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G. Laville, C. Lang, B. Herrmann, L. Philippe, and K. Mazouzi, Franche-Comte Computing Center, and Nicolas MarilleauImplementing Multi-Agent Systems on GPU, Designing Scientific Applications on GPUs, pp.415-455

E. Blanchart, N. Marilleau, J. Chotte, A. Drogoul, E. Perrier et al., SWORM: an agent-based model to simulate the effect of earthworms on soil structure, European Journal of Soil Science, vol.61, issue.1, pp.13-21, 2009.
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P. Fosset, A. Banos, E. Beck, S. Chardonnel, C. Lang et al., Exploring Intra-Urban Accessibility and Impacts of Pollution Policies with an Agent-Based Simulation Platform: GaMiroD, Systems, vol.4, issue.1, 2016.
DOI : 10.3390/systems4010005
URL : https://hal.archives-ouvertes.fr/halshs-01424773

A. Lammoglia, D. Josselin, and N. Marilleau, Propositions m??thodologiques pour identifier des conditions optimales de simulation de transport flexible par un Model ?? Base d???Agents, Cybergeo, p.2015
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G. Laville, C. Lang, B. Herrmann, L. Philippe, K. Mazouzi et al., MCMAS: A toolkit for developing agent-based simulations on many-core architectures, Multiagent and Grid Systems, vol.11, issue.1, pp.15-31, 2015.
DOI : 10.3233/MGS-150227

N. Marilleau, C. Cambier, A. Drogoul, J. Chotte, E. Perrier et al., Multiscale MAS Modelling to Simulate the Soil Environment : Application to Soil Ecology. Simulation Modelling Practice and Theory, pp.736-781, 2008.
DOI : 10.1016/j.simpat.2008.04.021

N. Marilleau, C. Lang, P. Chatonnay, and L. Philippe, RAFALE-SP : A Methodology to Design and Simulate Geographical Mobility, Stud. Inform. Univ, vol.10, issue.1, pp.38-76, 2012.

H. Thierry, D. Sheeren, N. Marilleau, N. Corson, M. Amalric et al., From the Lotka???Volterra model to a spatialised population-driven individual-based model, Ecological Modelling, vol.306, pp.287-93, 2015.
DOI : 10.1016/j.ecolmodel.2014.09.022
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E. Blanchart, C. Cambier, C. Canape, B. Gaudou, T. Ho et al., EPIS: A Grid Platform to Ease and Optimize Multi-agent Simulators Running, Advances on Practical Applications of Agents and Multiagent Systems, pp.129-163
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URL : https://hal.archives-ouvertes.fr/lirmm-00744257

N. Bécu, M. Amalric, B. Anselme, E. Beck, X. Bertin et al., Cécilia Pignon-Mussaud and Frédéric Rousseaux "Participatory simulation of coastal flooding : building social learning on prevention measures with decision-makers, International Environmental Modelling and Software, p.2016

S. Chipeaux, F. Bouquet, C. Lang, and N. Marilleau, Modelling of Complex Systems with AML as Realized in MIRO Project, 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, pp.159-62, 2011.
DOI : 10.1109/WI-IAT.2011.195

A. Drogoul, E. Amouroux, P. Caillou, B. Gaudou, A. Grignard et al., GAMA: A Spatially Explicit, Multi-level, Agent-Based Modeling and Simulation Platform, Advances on Practical Applications of Agents and Multi-Agent Systems, pp.271-74
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A. Drogoul, E. Amouroux, P. Caillou, B. Gaudou, A. Grignard et al., GAMA : Multi-Level and Complex Environment for Agent-Based Models and Simulations, Proceedings of the 2013 International Conference on Autonomous Agents and Multi-Agent Systems International Foundation for Autonomous Agents and Multiagent Systems, pp.1361-62
URL : https://hal.archives-ouvertes.fr/hal-00834498

I. Hassoumi, C. Lang, N. Marilleau, M. Temani, K. Ghedira et al., Toward a Spatially-Centered Approach to Integrate Heterogeneous and Multi-scales Urban Component Models, Advances on Practical Applications of Agents and Multi-Agent Systems, pp.81-86
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N. Ho-the-nhan, L. Marilleau, H. Philippe, J. Nguyen, and . Zucker, A Grid-Based Multistage Algorithm for Parameter Simulation- Optimization of Complex System, Computing and Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), 2013 IEEE RIVF International Conference on, pp.221-247

G. Laville, K. Mazouzi, C. Lang, N. Marilleau, B. Herrmann et al., MCMAS: A Toolkit to Benefit from Many-Core Architecure in Agent-Based Simulation, Euro-Par 2013 : Parallel Processing Workshops, pp.544-54
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G. Laville, K. Mazouzi, C. Lang, N. Marilleau, and L. Philippe, Using GPU for Multi-agent Multi-scale Simulations, Advances in Intelligent and Soft ComputingBase ISI, pp.197-204
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URL : https://hal.archives-ouvertes.fr/hal-01304681

G. Laville, K. Mazouzi, C. Lang, L. Philipppe, and N. Marilleau, Using GPU for Multi-Agent Soil Simulation, 2013 21st Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, pp.392-99
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URL : https://hal.archives-ouvertes.fr/hal-01228110

A. Laatabi, N. Marilleau, T. Nguyen-huu, H. Hbid, and M. Babram, Formalizing Data to Agent Model Mapping Using MOF: Application to a Model of Residential Mobility in Marrakesh, Marrakesh In Agent and Multi-Agent Systems : Technology and Applications, pp.107-117, 2016.
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L. Laurent, C. Lang, N. Marilleau, and L. Philippe, Multiagent Hybrid Architecture for Collaborative Exchanges between Communicating Vehicles in an Urban Context. ANT/SEIT, pp.695-699

N. Marilleau, An Agent Based Meta-Model For Urban Mobility Modeling, First International Conference on Distributed Frameworks for Multimedia Applications, pp.168-75, 2005.
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N. Marilleau, C. Cambier, A. Drogoul, J. Chotte, E. Perrier et al., Environnement Multi-Échelles À Base de Fractales Pour La Modélisation Agent D'écosystèmes, JFSMA, pp.23-32, 2008.

N. Marilleau, C. Lang, P. Chatonnay, and L. Philippe, A meta-model of group for urban mobility modeling, Proceedings of the 2005 International Conference on Active Media Technology, 2005. (AMT 2005)., pp.397-400, 2005.
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N. Marilleau, C. Lang, P. Chatonnay, and L. Philippe, An agent based framework for urban mobility simulation, 14th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP'06), 2006.
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N. Marilleau, C. Lang, P. Chatonnay, and L. Philippe, Cognitive Perception in RAFALE-SP Methodology, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06), pp.594-99, 2005.
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T. Nguyen, N. Khanh, T. Marilleau, and . Ho, PAMS ??? A New Collaborative Framework for Agent-Based Simulation of Complex Systems, Intelligent Agents and Multi-Agent Systems, pp.287-94, 2008.
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T. Nguyen, N. Khanh, T. Marilleau, . Vinh-ho, and . Fallah, Method supporting collaboration in complex system participatory simulation, Proceedings of the Fourth Symposium on Information and Communication Technology, SoICT '13, pp.61-70
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T. Nguyen, N. Khanh, T. Marilleau, . Vinh-ho, and . Fallah, New protocol supporting collaborative simulation, Proceedings of the Second Symposium on Information and Communication Technology, SoICT '11, pp.137-182
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T. Nguyen, N. Khanh, T. Marilleau, A. Vinh-ho, and . Seghrouchni, A Meta-Model for Specifying Collaborative Simulation, 2010 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), pp.1-4, 2010.
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V. Pretre, C. Lang, J. Lapayre, and N. Marilleau, A Video Transmission Framework Using Components and Multi-Agent Systems, The 2nd International Conference on Distributed Frameworks for Multimedia Applications, pp.1-7, 2006.
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K. Trong, B. Nguyen, T. Gaudou, N. Vinh-ho, and . Marilleau, Application of Pams Collaboration Platform to Simulation-Based Researches in Soil Science : The Case of the Micro-Organism Project, Computing and Communication Technologies RIVF'09. International Conference onBase ISI, pp.1-8, 2009.
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P. Damien, A. Drogoul, N. Marilleau, B. Gaudou, M. Choisy et al., Exploring trade and health policies influence on Dengue spread with an Agent-Based Model, Multi-Agent-Based Simulation Workshop, p.2016

T. Patrick, A. Banos, A. Drogoul, B. Gaudou, N. Marilleau et al., Simulating Urban Growth with Raster and Vector models : A case study for the city of Can Tho, Vietnam, ABMUS, Singapour, p.2016

A. Banos, S. Chardonnel, C. Lang, N. Marilleau, and T. Thévenin, Simulating the Swarm City : A MAS Approach, CUPUM'05 Conference on Computers in Urban Planning and Urban Management, pp.1-17, 2005.
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A. Banos, S. Chardonnel, C. Lang, N. Marilleau, and T. Thévenin, Modéliser et Simuler ?La Fourmilière Urbaine? Par Les Systèmes Multi-Agent, In Colloque SAGEO, pp.1-21, 2005.

A. Banos and N. Marilleau, MIRO Team : Improving Individual Accessibility to the City : An Agent-Based Modelling Approach, Proc. Of ECCS Colloque SMAGET, pp.1-17, 2005.

G. Beurier, . Cambier, . Marilleau, R. Perrier, and . Duponnois, Agent-Based Models to Address the Spatial Complexity of Biological and Physical Interactions in Soils, EGU General Assembly Conference Abstracts, p.12598, 2009.

S. Chardonnel, T. Thévenin, A. Banos, N. Marilleau, and C. Lang, Exploring Activities for Simulating Everyday Rythms and Routines in French Urban Areas, Association of American Geographers Conference, 2013.
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J. Emery, N. Marilleau, T. Thevenin, and N. Martiny, Du Comptage Ponctuel À L'affectation Par Simulation Multi-Agents : Application À La Circulation Routière de La Ville de Dijon, Conférence Internationale de Géomatique et D'analyse Spatiale (SAGEO), CD-ROM, 2014.

J. Emery, N. Marilleau, N. Martiny, and T. Thevenin, L'apport de La Simulation Multi-Agent Du Trafic Routier Pour L'estimation Des Émissions Automobiles

J. Emery, J. Boyard-micheau, and N. Marilleau, Nadège Martiny, Thomas Thévenin, and othersExploitation of Traffic Counting Data for Traffic Study in Urban Areas : From Traffic Assignment to Simulation Model Validation, 18th European Colloquium in Theoretical and Quantitative Geography (ECTQG), 2013.

D. Josselin, A. Lammoglia, and N. Marilleau, Using a Multi- Agent-System to Assess the Sensitivity of a Flexible Transport, Transport Research Arena (TRA) 5th Conference : Transport Solutions from Research to Deployment, 2014.
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A. Lammoglia, N. Marilleau, and D. Josselin, How to Assess the Robustness of a Flexible Transport Using an Agent Based Model : Some Observations on Optimal Conditions of Simulation, 2011.
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S. Leguedois, E. Blanchart, N. Marilleau, C. Cambier, Y. Capowiez et al., SWORM : Un Outil Pour La Modélisation Du Système Complexe Sol-Macrofaune. Vers Une Application Pour L'optimisation Des Techniques de Réhabilitation de Sol Par Construction, 1. Conférence Modélisation Mathématique et Informatique Des Systèmes Complexes CoMMISCo'10, 2010.

S. Leguédois, N. Marilleau, C. Cambier, Y. Capowiez, J. Cortet et al., A 3D Multi-Scale Virtual Structure to Model and Simulate Concurrent Processes of Soil Evolution, 4. International Congress Eurosoil 2012-Soil Science for the Benefit of Mankind and Environment, pp.2012-2019, 2012.

S. Leguedois, N. Marilleau, J. Rémi, T. , N. Jangorzo et al., Évaluation Du Modèle APSF Pour Représenter La Structure Des Sols et Sa Dynamique, pp.2013-2015, 2013.

N. Marilleau, C. Lang, P. Chatonnay, and L. Philippe, Un Méta-Modèle À Base D'agents Pour Modéliser La Mobilité Urbaine, 3 Éme Conférence International : SETIT, Tunisie, 2005.

N. Marilleau, C. Lang, and P. Giraudoux, Modélisation Agents Des Phénomènes Écologiques Spatialisés, Journées de Modélisation Biomathématique de Besançon, 2015.

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