English

Plateaux formation, abrupt transitions, and fractional states in a competitive population with limited resources

Disordered Systems and Neural Networks 2007-05-23 v1

Abstract

We study, both numerically and analytically, a Binary-Agent-Resource (B-A-R) model consisting of N agents who compete for a limited resource 1/2<L/N <1, where L is the maximum available resource per turn for all N agents. As L increases, the system exhibits well-defined plateaux regions in the success rate which are separated from each other by abrupt transitions. Both the maximum and the mean success rates over each plateau are 'quantized' -- for example, the maximum success rate forms a well-defined sequence of simple fractions as L increases. We present an analytic theory which explains these surprising phenomena both qualitatively and quantitatively. The underlying cause of this complex behavior is an interesting self-organized phenomenon in which the system, in response to the global resource level, effectively avoids particular patterns of historical outcomes.

Keywords

Cite

@article{arxiv.cond-mat/0408557,
  title  = {Plateaux formation, abrupt transitions, and fractional states in a competitive population with limited resources},
  author = {H. Y. Chan and T. S. Lo and P. M. Hui and N. F. Johnson},
  journal= {arXiv preprint arXiv:cond-mat/0408557},
  year   = {2007}
}