Anatomy of extreme events in a complex adaptive system
Disordered Systems and Neural Networks
2009-11-07 v3
Abstract
We provide an analytic, microscopic analysis of extreme events in an adaptive population comprising competing agents (e.g. species, cells, traders, data-packets). Such large changes tend to dictate the long-term dynamical behaviour of many real-world systems in both the natural and social sciences. Our results reveal a taxonomy of extreme events, and provide a microscopic understanding as to their build-up and likely duration.
Cite
@article{arxiv.cond-mat/0201540,
title = {Anatomy of extreme events in a complex adaptive system},
author = {Paul Jefferies and David Lamper and Neil F. Johnson},
journal= {arXiv preprint arXiv:cond-mat/0201540},
year = {2009}
}
Comments
8 pages, 4 figures. Now with Postscript figures