Self-organized Networks of Competing Boolean Agents
Statistical Mechanics
2009-10-31 v2 adap-org
Disordered Systems and Neural Networks
Adaptation and Self-Organizing Systems
Abstract
A model of Boolean agents competing in a market is presented where each agent bases his action on information obtained from a small group of other agents. The agents play a competitive game that rewards those in the minority. After a long time interval, the poorest player's strategy is changed randomly, and the process is repeated. Eventually the network evolves to a stationary but intermittent state where random mutation of the worst strategy can change the behavior of the entire network, often causing a switch in the dynamics between attractors of vastly different lengths.
Cite
@article{arxiv.cond-mat/9905082,
title = {Self-organized Networks of Competing Boolean Agents},
author = {Maya Paczuski and Kevin E. Bassler and Alvaro Corral},
journal= {arXiv preprint arXiv:cond-mat/9905082},
year = {2009}
}
Comments
4 pages, 3 included figures. Some text revision and one new figure added. To appear in PRL