Theory of Collective Dynamics in Multi-Agent Complex Systems
Statistical Mechanics
2007-05-23 v1
Abstract
We discuss a crowd-based theory for describing the collective behavior in Complex Systems comprising multi-agent populations competing for a limited resource. These systems -- whose binary versions we refer to as B-A-R (Binary Agent Resource) systems -- have a dynamical evolution which is determined by the aggregate action of the heterogeneous, adaptive agent population. Accounting for the strong correlations between agents' strategies, yields an accurate analytic description of the system's dynamics.
Cite
@article{arxiv.cond-mat/0403158,
title = {Theory of Collective Dynamics in Multi-Agent Complex Systems},
author = {Neil F. Johnson and Sehyo C. Choe and Sean Gourley and Timothy Jarrett and Pak Ming Hui},
journal= {arXiv preprint arXiv:cond-mat/0403158},
year = {2007}
}
Comments
Contribution to DPG Spring Meeting 2004 in Regensburg, Germany