Informations personelles

Arnaud Grignard


Directeur de thèse : Dr. Alexis Drogoul

Sujet de Thèse : Intéraction homme/simulation Visualisation interactive et aide à la décision Co-Tutelle : France (UPMC) /Vietnam (VNU) EDITE : Ecole Doctorale Informatique, télécommunications et électronique


Publications :

Taillandier, P., Grignard, A., Gaudou, B., & Drogoul, A. (2014). Des données géographiques à la simulation à base d’agents : application de la plate-forme GAMA. Cybergeo : European Journal of Geography.

A. Grignard, A. Drogoul, J-D Zucker. Complex Systems Simulation Online Visual Analysis and Assessment using dynamic aggregation operators. SoCPaR 2013 (to appear)

A. Grignard, P. Taillandier, B. Gaudou, D-A Vo, N-Q Huynh, A. Drogoul "GAMA 1.6 : Advancing the art of complex agent-based modeling and simulation." In PRIMA 2013 : Principles and Practice of Multi-Agent Systems, pp. 117-131. Springer Berlin Heidelberg, 2013.

A. Grignard, A. Drogoul, J-D Zucker. "A model-view/controller approach to support visualization and online data analysis of Agent-based simulations." Computing and Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), 2013 IEEE RIVF International Conference on. IEEE, 2013.

A. Grignard, A. Drogoul, J-D Zucker. Online Analysis and Visualization of Agent Based Models. Computational Science and Its Applications–ICCSA 2013. Springer Berlin Heidelberg, 2013. 662-672.

A. Drogoul, B. Gaudou, A. Grignard, P. Taillandier, V-D An. Practical Approach To Agent-Based Modelling. Water and its Many Issues. Methods and Cross-cutting Analysis., Chapter : 2.4, Publisher : Journée de Tam Dao, Editors : Stéphane Lagrée, pp.277-300

Communications :

A. Drogoul, A. Grignard, E. Amouroux, P. Caillou, B. Gaudou, N. Marilleau, P. Taillandier, D-A Vo, J-D Zucker. GAMA : multi-level and complex environments for agent-based models and simulations (demonstration). AI Video Competition, IJCAI 2013.

A. Grignard, A. Drogoul, J-D. Zucker, Using high-level 3D Graphics library in agent-based simulation platform. New Directions in Agent Research Workshop , KES-AMSTA 2013.

A. Drogoul , E. Amouroux, P. Caillou, B. Gaudou, A. Grignard, N. Marilleau, P. Taillandier, M. Vavasseur, D-A. Vo, and J-D Zucker. "GAMA : a spatially explicit, multi-level,agent-based modeling and simulation platform (demonstration)" in PAAMS 2013.

A. Drogoul , E. Amouroux, P. Caillou, B. Gaudou, A. Grignard, N. Marilleau, P. Taillandier, M. Vavasseur, D-A. Vo, and J-D Zucker . "GAMA : multi-level and complex environment for agent-based models and simulations (demonstration)", demo track in AAMAS 2013.

A. Grignard, E. Amouroux, A. Drogoul et J-D .Zucker. "De la visualisation avancée à l’analyse temps réel de modèles à base d’agents", Workshop SimTools 2013.

A.Drogoul, P. Taillandier, B. Gaudou, A.Grignard and Vo Duc An "Approche pratique de la modélisation à base d’agents : Gestion du partage de l’eau avec multiples acteurs" in Les journées de Tam Dao, Université d’été régionale en Sciences Sociales, 2012.

A-T. Cisse, A. Grignard "Modélisation des maladies à vecteurs : approche et visualisation multi-point de vue" in COMMISCO 2012.

Posters :

A.Grignard " Multi-Scale Agent Based Network" in Modélisons la compléxité, 2011

A. Grignard, A. Appolini, M. Malaterre, E. Boix. "Cosmo Complex System Modeling Platform. Epidemiology Multi-level approach", Poster in ECCS 2010.

Thesis subject

This thesis is part of the framework, relatively new, of the usage of complex and multi-scale models for environmental decisions support. It will be validated on two mains applications on which UMI 206 UMMISCO is already working on. The first one deal with the fight against the invasions of brown grasshoppers in the delta Mekong, the second on the assistance on conception of planning of territory policies introduced by climate change. This work will be done in partnership with different Vietnamese partners, among which, the Vietnam National University of Hanoi and the University of Can Tho with the DREAM team associated to the IRD. It will provide an active user/model interaction with a high interactivity. The model is then a support for a prospective reflexion where the human intervention in time and space(choice of facilities,anti-insect fight) is taken in account like all other dynamics(ecological, biological, physical, etc.). The issue is not to do prediction which is illusionary given the variability and the complexity of models but to enable the user to explore a set of possible ramifications from a set of well defined scenarios. Some of those ramifications can be obtained classically by application of stochastic models, other can be the result of a user intervention while the simulation is in progress.