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Re: [Swarm-Modelling] Re: [Swarm-Support] Re: Agent communication and gr


From: Jason Alexander
Subject: Re: [Swarm-Modelling] Re: [Swarm-Support] Re: Agent communication and grid models
Date: Tue, 27 May 2003 08:45:10 +0100

On Tuesday, May 27, 2003, at 07:16 Europe/London, Kanagaraj Krishna wrote:

Can i know in detail what is meant by a "soup" model.

I don't think this is a term of art; if it is, I wish it would be renamed.

In economics, one common type of model used by evolutionary game theorists is called a "local interaction model" (for a dated reference, see Ellison, "Learning, Local Interaction, and Coordination", _Econometrica_, 1993). In this type of model, interactions among agents can only occur along the lines of a predefined network. This is also the kind of model Watts had in mind in _Small Worlds_ when he talked about games played on graphs. I think this is what Darren meant when he was talking about a "topological" solution (although the restrictions on interactions conveyed by the underlying network need not correspond to any natural topology).

A second model for evolutionary games is a random mixing model - the kind of model which underlies the replicator dynamics. In this kind of model, no constraints on possible interactions exist, so everyone can interact with everyone else. One often uses randomization to select a subset of individuals from a population to interact with, or just has everyone interact with everyone else in a round-robin kind of tournament.

Then there are the means between these endpoints which aren't easily classified. Like the model of social network formation by Skyrms and Pemantle (Proceedings of the National Academy of Science, August 1, 2000, vol. 97, no. 16), for example.

Cheers,

Jason
--
J. McKenzie Alexander
Department of Philosophy, Logic and Scientific Method
London School of Economics and Political Science
Houghton Street, London WC2A 2AE




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