S'authentifier

3rd Workshop on MAS in Biology at meso or macroscopic scales

16–18 juin 2010
LaBRI - Laboratoire Bordelais de Recherche en Informatique
Fuseau horaire Europe/Paris

Support

Liste des Contributions

26 sur 26 affichés
Exporter en PDF
  1. 0. Introductory talk: Biological programming
    Prof. Jeremy J. Ramsden (University of Basel)
    16/06/2010 14:30
  2. 1. The Origin of Individuals
    Dr Jean-Jacques Kupiec (Centre Cavaillès, Ecole normale supérieure, Paris)
    16/06/2010 15:00
    L’évolution des espèces (phylogenèse) et le développement des organismes individuels (ontogenèse) sont considérés comme deux phénomènes distincts. La biologie repose sur cette séparation qui pose l’espèce et l’individu comme principes premiers, réels et coextensifs, l’espèce étant une collection d’individus identiques. Dans sa version moderne cette ontologie s’appuie sur la théorie du...
    Aller à la page de la contribution
  3. 2. A Reactive Multiagent Program using Stream Processing to Simulate Multicellular Systems.
    Prof. Pascal Ballet (Université de Bretagne Occidentale)
    16/06/2010 16:15
    Programming multiagent systems for biological systems close to cellular scales require significant computational capabilities for different reasons: the studied systems include many interacting entities (usually more than 10^5), they have very different sizes (from 10^-8 for the macromolecules to 10^-4 for small organisms) and their behaviors are frequently complex. For example a cell...
    Aller à la page de la contribution
  4. 25. Collective discussion on MAS simulation frameworks
    16/06/2010 16:55
  5. 6. Stochasticity in gene expression, evolution and evolvability
    Dr Jean-Pascal Capp (LISBP - INSA de Toulouse)
    17/06/2010 09:00
  6. 3. Development of the Cabbage Root fly in agricultural landscape : seeing agroecosystems from a fly point of view.
    Dr Nicolas Parisey (INRA, Rennes)
    17/06/2010 09:45
  7. 8. A Stochastic Model of cellular differentiation
    M. Bertrand Laforge (LPNHE)
    17/06/2010 10:45
  8. 7. A multi-scale agent-based model for the simulation of avascular tumor growth
    Prof. Guillaume Hutzler (Evry-Val d'Essonne University)
    17/06/2010 11:25
  9. 11. Exploring Hierarchical Evolution with an Artificial Protocell
    Prof. Barry McMullin (Rince Research Institute, Dublin City University)
    17/06/2010 14:00
  10. 10. Hydrodynamic simulation of ventral mesoderm invagination during Drosophila Melanogaster gastrulation
    Dr Philippe-Alexandre Pouille (Instituto de Biología Molecular de Barcelona)
    17/06/2010 14:40
    The mechanical aspects of embryonic morphogenesis have been in most cases simulated using finite element models, which describe the tissue as a continuous medium. Here we develop a simulation of Drosophila embryo invagination of its ventral mesoderm during gastrulation, that allows access to both cellular and multicellular mechanical behaviours of the embryo. This model can be viewed as...
    Aller à la page de la contribution
  11. 13. A new 'hierarchical dynamic networks' approach to multi-scale structure-function modeling of the kidney
    Dr Randy Thomas (IBISC, FRE 2873 CNRS/Université d'Evry)
    17/06/2010 15:50
  12. 15. Estimation of model parameters: application to the complex I of the respiratory chain
    Prof. Christine Nazaret (IMB, Universite Bordeaux 1)
    17/06/2010 16:30
    Developing dynamic models of metabolic pathways of the whole mitochondria could help in predictive or preventive medecine. But theses pathways are necessarily large and complex with lots of variables that can not be measured directly in vivo currently. Besides the different existing rates that describe the kinetic behavior of enzymes in this network are mostly non linear (in terms of...
    Aller à la page de la contribution
  13. 18. Biological simulations : focus on 3D environment with multi-agent systems
    Prof. Marie Beurton-Aimar (LaBRI, Université Bordeaux)
    18/06/2010 09:30
  14. 24. Multi-agent System based on social agents: a GPU application
    M. Richard Moussa (LaBRI, Université Bordeaux)
    18/06/2010 09:50
  15. 19. Unsupervised learning to assist modeling of multilevel complex systems
    Dr Javier Gil-Quijano (Laboratoire d'Informatique,Paris VI)
    18/06/2010 10:10
    The modelling by simulation of complex systems is a cyclic process: the modeller incorporates his/her knowledge into the model, runs simulations, discovers bugs or unwanted effects, corrects the model and eventually his/her knowledge, and the cycle restarts. The process ends when it is not possible to further improve the model because of technical or knowledge limitations. That cyclic process...
    Aller à la page de la contribution
  16. 20. Towards a Multi-Level Modeling Language to Represent and Specify Emergent Structures in Agent-Based Model
    M. VO Duc An (UPMC Univ Paris 6)
    18/06/2010 11:10
  17. 21. Mobile Agents for Large Distributed Computing Systems
    Prof. Mohamed Mosbah (LaBRI, Université Bordeaux)
    18/06/2010 11:30
    The concept of mobile agents has been introduced recently as a novel and powerful paradigm to facilitate the design and programming of distributed applications. However, while their popularity continues to grow, a uniform theory of mobile agent systems is not yet sufficiently elaborated, in comparison with classical models of distributed computation. In this talk, I present a model based on...
    Aller à la page de la contribution
  18. 4. Com2 : to be chosen
  19. 5. Com3 : to be chosen
  20. 9. Com4 : to be chosen
  21. 12. Com5 : to be chosen
  22. 16. Com6 : to be chosen
  23. 17. Com7 : to be chosen
  24. 23. Invited Talk
  25. 22. Invited talk To be announced (INRETS)
  26. 14. Modeling high-frequency serial valvometry data of oysters: a kernel regression based-approach
    Prof. Gilles Durrieu (Universite Bordeaux 1)
    The high-frequency measurements of valve activity in bivalves (e.g. valvometry) over a long period of time and in various environmental conditions allows a very accurate study of the animal’s behaviors as well as a global analysis of possible perturbations due to the environment. Valvometry uses the bivalve’s ability to close its shell when exposed to a contaminant or other abnormal...
    Aller à la page de la contribution