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From: | Steve Railsback |
Subject: | Re: [Swarm-Modelling] Genetic mechanisms for evolving agents? |
Date: | Mon, 04 Apr 2005 09:34:59 -0700 |
User-agent: | Mozilla Thunderbird 1.0 (Windows/20041206) |
address@hidden wrote:
We have used some genetic techniques for evolving agents, particularly for the purposes of tuning their behavior. I'm trying to get a broader review of what work has been done in this area. I would expect that there is some other research on using genetic methods for tuning, but there is probably even more on using genetic algorithms for evolving agents in populations used in ecological or sociological models. I would appreciate pointers to any researchers and papers that you are aware of in this area.
Economists love building models with genetically evolving agents (see http://www.econ.iastate.edu/tesfatsi/ace.htm ), but using genetic techniques to "tune" agent behavior is probably less common.
The examples in ecology I'm familiar with were done on ocean fish movement and migration, at the University of Bergen. (We reviewed these and other ways to model behavior in our book on individual-based modeling which is, sadly, not available until July.)
Citations are:Huse, G., and J. Giske. 1998. Ecology in Mare Pentium: an individual based model for fish with adapted behavior. Fisheries Research 37:163-178.
Huse, G., E. Strand, and J. Giske. 1999. Implementing behavior in individual-based models using artificial neural networks and genetic algorithms. Evolutionary Ecology 13:469-483.
Strand, E., G. Huse, and J. Giske. 2002. Artificial evolution of life history and behavior. American Naturalist 159:624-644.
Giske, J., M. Mangel, P. Jakobsen, G. Huse, C. Wilcox, and E. Strand. 2003. Explicit trade-off rules in proximate adaptive agents. Evolutionary Ecology Research 5:835-865.
Steve Railsback -- Lang Railsback & Assoc. 250 California Ave. Arcata, California 95521 707 822 0453
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