Moduleco
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Stochastic or deterministic learning with local self-reinforcement (sometimes involves SELECTION, sometimes the EMERGENCE of a collective structure or "order"). Possibility of polymorphism based upon "frozen zones".
* Learning on a network with a fixed
interaction structure and local externality
such as
Markov random fields (Kindermann
& Snell [1980], [1982]) and
Gibbs fields (Dalle [1997],
Durlauf [1997] : Links possible with the Fokker Plank approximation)
Spatial evolutionary games (Nowak,
May [1992],[1993], Kirchkamp [1995], [1996]...)
* Learning on a network with an
evolving interaction structure
Neural networks, stochastic structure of
communication (Kirman
[1983], Kirman, Oddou, Weber [1986]),
Critical learning (Plouraboué, Steyer Zimmermann [1998], Steyer
Zimmermann [2000], Deroïan [1999], [2000])
* "Artificial life" models (i.e. Lane [1993a&b], Marengo, Tordjman [1996] et Tordjman[1997] ; Swarm-compatible models : Luna, Stefansson [2000], Arthur, Holland, LeBaron, Palmer, Taylor [1996], [1997]....)
The Statistical physics approach of markets
Denis.Phan@enst-bretagne.fr ; Antoine Beugnard@enst-bretagne.fr