Re: [Swarm-Modelling] Genetic mechanisms for evolving agents?

[Paul Johnson]

The Santa Fe Artificial Stock Market uses a genetic algorithm. The 
agents use the GA to tune their mental models of the world and invest in 
the market. My internet access is incredibly slow right now and I don't 
have access to all of the citations.  The ones I have handy from my 
syllabus are


    W.Brian Arthur, John H. Holland, Blake LeBaron, Richard Palmer, and 
Paul Tayler. Asset Pricing Under Endogenous Expectations in an 
Artificial Stock Market. SFI working paper.

    Paul E. Johnson, ``Agent-Based Modeling: What I Learned From the 
Artificial Stock Market,'' Social Science Computer Review, V 20(2) 
Summer 2002, p. 174-186.

I think if you look at Blake LeBaron's vita, you'll find a review paper 
about the ASM that was writte in 2002 or 2003.


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.
>
> Thanks  --  John Sauter, Altarum
>
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> address@hidden
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--
Paul E. Johnson                       email: address@hidden
Dept. of Political Science            http://lark.cc.ku.edu/~pauljohn
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