Dynamics & viability of an adaptive network,
and comparison between neural and social networks
Abstract
This report aims at studying the contribution of the
viability theory in the understanding of dynamics underlying
self-organization among connexionist networks. We introduce control
criteria ensuring the survival of the network taken as an adaptive
system, in a dynamic view and by focusing on the coordination of the
agents and on new behavior tending to emerge from their
collaboration.
The study reviews both neural and social networks. We first detail
the way a neural network can organize itself and structurally
evolve in order to satisfy sensori-motor constraints (reinforcement
learning, autonomous adaptation, coalitions of strongly connected
synchronous neurones). We then review how this formalism can apply
to social networks of economic or cultural production. In
particular, we try to understand evolution-guiding mechanisms that
make agents and cells work better together than individually
(collective intelligence) and how the integration is finally being
achieved by the network.
full text (in French): (dvi 
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Last modified: Sun Dec 18 13:14:02 CET 2005