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Date: Thu, 12 Sep 1996 20:48:21 +0200
To: socgrad@csf.colorado.edu
From: Czerlinski@mpipf-muenchen.mpg.de (Jean Czerlinski)
Subject: more non-linear social dynamics


Here are two more sites I forgot about:


http://www.cogs.susx.ac.uk/lab/adapt/index.html
Evolutionary and Adaptive Systems at
COGS 
Since the mid-1980's, there has been rapidly growing interest in research studying the behavioural and
evolutionary foundations of cognition and intelligence. Studies of computation as an emergent phenomena,
cognition as adaptive behaviour, coordinated perception and action, and evolutionary learning techniques
(such as genetic algorithms) can all be broadly classified as work in Artificial Life. The study of systems
which exhibit adaptive behaviour has received growing attention from workers in fields as diverse as
ethology, robotics, neuroscience, and cognitive science. 


http://www.iiasa.ac.at/
International Institute for Applied Systems Analysis

their dynamics group is at:
http://www.iiasa.ac.at/Research/DYN/docs/DYN_Description.html

The project studies, primarily at the conceptual level, the nature of changes in largescale
       economic and environmental systems of concern to the IIASA applied projects, and
       develops formal tools for the analysis of the corresponding mathematical models. Economic
       and biological macro-systems characterized by repeated interactions between their members
       form the first class of objects under consideration. The analysis takes, for the most part, a
       game-theoretical approach, which allows one to operate directly with the (to a considerable
       extent contradicting) driving forces of the processes, and thus provides a basis for finding
       realistic behavioral compromises. Identification and forecasting problems for dynamical
       models of some environmental systems studied at IIASA is the second focus in the
       project's research; here the tools of the theories of control and observation are utilized. In
       addition, in 1996 the Adaptive Dynamics Network will start: an evolutionary approach to
       biological and non-biological adaptive systems. Its aim is to foster the development of new
       mathematical and conceptual techniques for understanding the evolution of complex
       adaptational structures.


and one I just stumbled on via searching the net:

http://pscs.physics.lsa.umich.edu//RESEARCH/pscs-rig.html

The Political Economy Interest Group

We bring together faculty, graduate students, and undergraduate students who are interested in research in
political economy using techniques from game theory, complexity, adaptive modelling, and rational choice.
Our group has an on-going seminar where students present research in progress and where outside speakers
are occasionally invited to present. The group has two co-leaders, Yan Chen (Economics) and Ken Kollman
(Political Science). For more information, contact Ken Kollman: kkollman@umich.edu .