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<h3 class="showhide_heading" id="Participants">Participants</h3>
<div>Nicolas Bredèche, Philippe Caillou, Alexandre Devert, Cyril Furtlehner, Jana Hlavacikova, Miguel Nicolau, Helène Paugam-Moisy, <a rel="external" href="http://www.lri.fr/%7Emarc/" target="_blank" class="wiki external">Marc SCHOENAUER</a>, Michèle Sebag, <a rel="external" href="http://www.lri.fr/%7Exlzhang" target="_blank" class="wiki external">Xiangliang ZHANG</a></div>
<h3 class="showhide_heading"> </h3>
<h3 class="showhide_heading" id="Th_mes">Thèmes</h3>
<div><span style="color: rgb(0, 0, 255);">Artificial Evolution/Development</span> (Nicolas Bredèche, Alexandre Devert, Jana Hlavacikova, Marc Schoenauer): </div>
<div><span style="color: rgb(0, 0, 255);">Simulation of Social systems with Multi-Agent Systems</span> (Philippe Caillou, CYril Furtlehner, Michèle Sebag)</div>
<div><span style="color: rgb(0, 0, 255);">Message passing algorithms and Statistical Physics</span> (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.</div>
<div><span style="color: rgb(0, 0, 255);">Biological Complex Systems and Neural Networks</span> (Miguel Nicolau, Helène Paugam-Moisy, Marc Schoenauer, Michèle Sebag) (see also the
Reservoir Computing SIG.</div>
<div> </div>
<h3 class="showhide_heading" id="Related_Projects">Related Projects</h3>
<p><strong>GENNETEC</strong>:<a href="http://gennetec.csregistry.org/">GENetic NETworks: Emergence and Complexity</a> a European STREP in FP6 where biologists, Statistical Physicists and Applied Mathematicians and Computer Scientists study Genetic Regulatory Networks</p>
<p><strong>Symbrion</strong>: <a href="http://symbrion.org"> Symbiotic Evolutionary Robot Organisms</a> a European STREP in FP7 program aiming toward an open-ended evolution of swarms of self-assembling robots.</p>
<div><strong>Travesti </strong>(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).</div>