Error-driven Global Transition in a Competitive Population on a Network
Disordered Systems and Neural Networks
2007-05-23 v1
Abstract
We show, both analytically and numerically, that erroneous data transmission generates a global transition within a competitive population playing the Minority Game on a network. This transition, which resembles a phase transition, is driven by a `temporal symmetry breaking' in the global outcome series. The phase boundary, which is a function of the network connectivity and the error probability , is described quantitatively by the Crowd-Anticrowd theory.
Cite
@article{arxiv.cond-mat/0405037,
title = {Error-driven Global Transition in a Competitive Population on a Network},
author = {Sehyo Charley Choe and Neil F. Johnson and Pak Ming Hui},
journal= {arXiv preprint arXiv:cond-mat/0405037},
year = {2007}
}
Comments
4 pages, 3 figures