Self-Organized Segregation within an Evolving Population
Condensed Matter
2009-10-31 v2 adap-org
Adaptation and Self-Organizing Systems
Populations and Evolution
Abstract
An evolving population, in which individual members (`agents') adapt their behaviour according to past experience, is of central importance to many disciplines. Because of their limited knowledge and capabilities, agents are forced to make decisions based on inductive, rather than deductive, thinking. We show that a population of competing agents with similar capabilities and knowledge will tend to self-segregate into opposing groups characterized by extreme behavior. Cautious agents perform poorly and tend to become rare.
Cite
@article{arxiv.cond-mat/9810142,
title = {Self-Organized Segregation within an Evolving Population},
author = {Neil F. Johnson and Pak Ming Hui and Rob Jonson and Ting Shek Lo},
journal= {arXiv preprint arXiv:cond-mat/9810142},
year = {2009}
}
Comments
9 pages text + 1 separate pdf figure. Revised version. To appear in Phys. Rev. Lett. (1999)