José HALLOY ....... Since Sept. 2011 Professor at Université Diderot Paris VII
Professeur Universite Diderot Paris 7 ; Chercheur Qualifié (ULB)

thèmes de recherche

European projects

CASCADAS project

ECagents  project

LEURRE  project

From individual capabilities to collective behaviors in natural an artificial systems

We study the transition from individual capabilities to collective behaviors at different level of living and artificial systems as population of molecules, cells, organisms or robots. We aim at understanding the dynamical properties of such populations that can produce emergent or self-organized properties at the collective level.
The dynamical properties of this type of systems are characterized mainly by the stochastic behavior of the agents, the non-linear response to stimuli intensity and a network of regulatory feedbacks. In our studies, we combine quantitative experiments and mathematical modeling.
We also try to study as many systems as possible, according to experimental availability or national and international collaboration, in order to test what is generic or what is specific for all systems.

Our modeling approach is based on complex systems and dynamical systems theory. We describe systems as networks of regulatory feedbacks represented by a directed graph endowed with signs corresponding to activations or inhibitions. Dynamical systems (e.g. represented by differentiable applications) correspond to these graphs. Various biological or artificial systems can be described in this framework and their global dynamical properties predicted. We try to understand what are the intrinsic constraints to each system and what are the generic features implied by the existence of similar regulatory graphs for very different systems like cells, organisms, robots. Are there families of small regulatory graph modules corresponding to collective patterns, irrespective of the type of systems but specific to the type of collective pattern (e.g. synchronization, aggregation, differentiation)?

Case studies: Collective choices in insects (cockroaches, ants); mixed societies of animals and robots (cockroaches-robots and chicken-robots); artificial systems (computer networks and collective robotic).

Keywords: self-organization, emergent behavior, non-linear dynamical systems in biology, dissipative structure, biological complex systems, collective intelligence in artificial systems.

Intelligence collective/Collective intelligence

Interactions animal/machine incluant le niveau collectif/New forms of animal/machine interactions including the collective level

publications

patent

selected papers

2007

Halloy J. , Sempo G., Caprari G., Rivault C., Asadpour M., Tâche F., Saïd I., Durier V., Canonge S., Amé J-M., Detrain C., Correll N., Martinoli A., Mondada F., Siegwart R., Deneubourg J-L. Social Integration of Robots into Groups of Cockroaches to Control Self-Organized Choices. Science 16 November 2007,Vol. 318. no. 5853, pp. 1155 - 1158.
NEWS OF THE WEEK: Robot Cockroach Tests Insect Decision-Making Behavior. Elizabeth Pennisi (16 November 2007). Science 318 (5853), 1055. Listen also to the Science Podcast of 16 November 2007 (cliquez ici/click here)

Halloy J, Sonnino G & Coullet P. Pattern formation in forced reaction diffusion systems with nearly degenerate bifurcations. Chaos. 2007 Sep;17(3):037107.

2006

Millor J., Amé J-M., Halloy J. & Deneubourg J.-L. Individual Discrimination Capabilities and Collective Decision Making. Journal of Theoretical Biology, 239.

Ame J-M., Millor J., Halloy J., Sempo G., Deneubourg J-L.. Collective decision-making based on individual discrimination capability in pre-social insects. Lecture Notes In Computer Science, vol. 4095, p. 713.

Millor J., Halloy J., Ame J-M., Deneubourg J.-L. Individual discrimination capability and collective choice in social insects. Ant Colony Optimization and Swarm Intelligence, Lecture Notes in Computer Science, 4150: 167-178.

Correll N., Sempo G., Lopez de Meneses Y., Halloy J., Deneubourg J.-L., Martinoli A.. SwisTrack: A Tracking Tool for Multi-Unit Robotic and Biological Systems. Intelligent Robots and Systems, IEEE/RSJ.

Halloy J., Amé J-M., Rivault C., Detrain C. & Deneubourg J.-L. Collegial decision making based on social amplification leads to optimal group formation. Proc Natl Acad Sci U S A. (PNAS).

Ame J-M., Millor J., Halloy J., Sempo G., Deneubourg J.-L. Collective decision-making based on individual discrimination capability in pre-social insects. Lecture Notes In Computer Science, vol. 4095, p 713.

Sempo G., Depickere S., Ame J-M., Detrain C., Halloy J., Deneubourg J.-L. Integration of an autonomous artificial agent in an insect society: Experimental validation. Lecture Notes In Computer Science, vol. 4095, p. 703.

Saffre F., Halloy J., Shackelton M. and Deneubourg J.-L.. Self-organized Service Orchestration through Collective Differentiation. IEEE Systems, Man and Cybernetics A. 36 (6): 1237-1246.

2005

Saffre F., Halloy J. and Deneubourg J.-L.. The Ecology of the Grid. Second International Conference on Autonomic Computing (ICAC'05) pp. 378-379.

Millor J., Amé J.-M., Halloy J.& Deneubourg J.-L.. Individual Discrimination Capabilities and Collective Decision Making. Journal of Theoretical Biology.

Caprari G., Colot A., Siegwart R., Halloy J. and Deneubourg, J.-L..Animal and Robot Mixed Societies- Building Cooperation Between Microrobots and Cockroaches.  IEEE Robotics & Automation Magazine. Vol.12, No 2, June, pp 58-65.

2004

Gonze D, Halloy J, and Goldbeter A. Stochastic models for circadian oscillations : Emergence of a biological rhythm. Int J Quantum Chem 98, 228-238. (pdf 184 Ko)

Millor Tienente J., Halloy J. and Kestemont E. Mesure de l’utilisation réelle des didactitiels et supports pédagogiques disponibles sur la toile dans un environment de formation universitaire. Res Academica.

Caprari, G., Colot, A., Siegwart, R., Halloy, J. & Deneubourg, J.-L.
Building Mixed Societies of Animals and Robots. IEEE Robotics & Automation Magazine. Vol.12, No 2, June, pp 58-65.

Gonze D, Halloy J, and Goldbeter A. Emergence of coherent oscillations in stochastic models for circadian rhythms. Physica A: Statistical Mechanics and its Applications 342, 221-233. (pdf 1047 Ko)

2003

Gonze D, Halloy J, and Goldbeter A. Deterministic and stochastic models for circadian rhythms. Pathol Biol (Paris) 51, 227-230.

Gonze D, Halloy J, Leloup J-C, and Goldbeter A. Stochastic models for circadian rhythms: Effect of molecular noise on periodic and chaotic behaviour. C R Biologies 326, 189-203. (pdf 416 Ko)

2002

Gonze D, Halloy J, and Goldbeter A. Stochastic versus deterministic models for circadian rhythms. J Biol Phys 28, 637-653. (pdf 3309 Ko)

Gonze D, Halloy J, and Goldbeter A. Robustness of circadian rhythms with respect to molecular noise. Proc Natl Acad Sci USA 99, 673-678. (pdf 263 Ko)

Gonze D, Halloy J, and Gaspard P. Biochemical clocks and molecular noise: Theoretical study of robustness factors. J Chem Phys 116, 10997-11010.

Halloy J, Bernard BA, Loussouarn G, and Goldbeter A. The follicular automaton model: effect of stochasticity and of synchronization of hair cycles. J Theor Biol 214, 469-479.

2001

Goldbeter A, Gonze D, Houart G, Leloup J-C, Halloy J, and Dupont G. From simple to complex oscillatory behavior in metabolic and genetic control network. Chaos 11, 247-260. (pdf 526 Ko)

2000

Goldbeter A, Dupont G, and Halloy J.The frequency encoding of pulsatility. Novartis Found Symp 227, 19-45.

Halloy J, Bernard BA, Loussouarn G, and Goldbeter A. Modeling the dynamics of human hair cycles by a follicular automaton. Proc Natl Acad Sci USA 97, 8328-8333.

1998

Halloy J, Lauzeral J, and Goldbeter A. Modeling oscillations and waves of cAMP in Dictyostelium discoideum cells. Biophys Chem 72, 9-19. (pdf 1633 Ko)

Perez-Iratxeta C, Halloy J, Moran F, Martiel JL, and Goldbeter A. Coexistence of multiple propagating wave fronts in a regulated enzyme reaction model: Link with birhythmicity and multi-threshold excitability. Biophys Chem 74, 197-207. (pdf 1510 Ko)

1997

Lauzeral J, Halloy J, and Goldbeter A. Desynchronization of cells on the developmental path triggers the formation of spiral waves of cAMP during Dictyostelium aggregation. Proc Natl Acad Sci USA 94, 9153-9158. (pdf 649 Ko)

1995

Guidi GM, Halloy J, and Goldbeter A. Chaos suppresion by periodic forcing: Insights from Dictyostelium cells, from a multiply regulated biochemical system, and from the Lorenz model. In: Proceedings of the conference Chaos and Complexity (blois, 1993). Trân Thanh Vân et al. (Eds), Editions Frontières, Paris, pp. 135-146.

1992

Li YX, Halloy J, Martiel JL, and Goldbeter A. Suppression of chaos and other dynamical transitions induced by intercellular coupling in a model for cAMP oscillations in Dictyostelium cells. Chaos 2, 501-512.

Li YX, Halloy J, Martiel JL, Wurster B, and Goldbeter A. Suppression of chaos by periodic oscillations in a model for cyclic AMP signalling in Dictyostelium cells. Experientia 48, 603-606.

1990

Halloy J, Li XY, martiel JL, Wurster B, and Goldbeter A. Coupling chaotic and periodic cells results in a period-doubling route to chaos in a model for cAMP oscillations in Dictyostelium suspension. Phys Lett A 151, 33-36.

Patent

1999/2001

L'Oréal. System and process for the analysis and predictive simulation of the temporal evolution of a hair region, and more particularly of the human scalp. Inventors: G. Loussouarn, B. Bernard, A. Goldbeter, J. Halloy. US 2001/0006555 A1.

L'Oréal. Système et procédé d'analyse et de simulation prévisionelle de l'évolution temporelle d'une zone pileuse, et plus particulièrement du cuir chevelu humain. Institut National de la Propriété Industrielle. Paris. N°Pub 2 802 678 N° Enrg. 99 16170.

formation / education

PhD, Université Libre de Bruxelles, 1996
DES Gestion (Finance), Solvay Business School, (SBS, ULB), 1993
Licence en Chimie, Université Libre de Bruxelles, 1989