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Historique: Complex Systems

Aperçu de cette version: 34 (courant)

Participants


Nicolas BREDECHE, Philippe CAILLOU, Alexandre DEVERT, Cyril FURTLEHNER, Jana Hlavacikova, Ouri Maler, Miguel NICOLAU, Hélène Paugam-Moisy, Marc SCHOENAUER, Michèle Sebag, Xiangliang ZHANG

Thèmes


Artificial Evolution/Development (Nicolas Bredèche, Alexandre Devert, Jana Hlavacikova, Marc Schoenauer): When what you optimize is the process leading to the result (embryogenesis).

Simulation of Social systems with Multi-Agent Systems (Philippe Caillou, Cyril Furtlehner, Michèle Sebag): How decentralized modelisation and simulation allows you to study complex social systems.

Message passing algorithms and Statistical Physics (Cyril Furtlehner, Marc Schoenauer, Michèle Sebag): We focus mainly on properties of message-passing algorithms (belief-propagation, survey-propagation, affinity propagation) with GRID jobs clustering and traffic reconstruction and prediction as target applications.

Biological Complex Systems and Neural Networks (Miguel Nicolau, Helène Paugam-Moisy, Marc Schoenauer, Michèle Sebag) (see also the Reservoir Computing SIG.



GENNETEC:GENetic NETworks: Emergence and Complexity a European STREP in FP6 where biologists, Statistical Physicists and Applied Mathematicians and Computer Scientists study Genetic Regulatory Networks


Symbrion: Symbiotic Evolutionary Robot Organisms a European STREP in FP7 program aiming toward an open-ended evolution of swarms of self-assembling robots.


Travesti (Traffic volume estimation by spatio-temporal inference), ANR project starting in 2009, to address the problem of modelling large scale complex (traffic) systems to provide description and predictions of their macroscopic behavior. Joint project with LET (CNRS), CAOR (Armines) and Imara (Inria Rocquencourt).

 


Historique

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