logo.gif (4669 octets)

Moduleco
2 - Concepts of the multi-agent's dynamics
2.3. Collective Learning : collective intelligence and intelligence of the collective phenomenon (b)

precedent.gif (270 octets)overview.gif (284 octets)Page suivante

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
N
eural 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