A toy model of faith-based systems evolution
Statistical Mechanics
2009-11-07 v2 Cellular Automata and Lattice Gases
Abstract
A simple agent-based model (ABM) of the evolution of faith-based systems (FBS) in human social networks is presented. In the model, each agent subscribes to a single FBS, and may be converted to share a different agent's FBS during social interactions. FBSs and agents each possess heritable quantitative traits that affect the probability of transmission of FBSs. The influence of social network conditions on the intermediate and final macroscopic states is examined.
Cite
@article{arxiv.cond-mat/0210292,
title = {A toy model of faith-based systems evolution},
author = {Suzanne Sadedin and Bartlomiej Dybiec and Gerard Briscoe},
journal= {arXiv preprint arXiv:cond-mat/0210292},
year = {2009}
}
Comments
6 pages, 6 figures typeset by REVTeX. This paper is an extendend version of a report from Complex Systems Summer School 2002, organised by Santa Fe Institute in Budapest