Coordination, Differentiation and Fairness in a population of cooperating agents
Physics and Society
2012-03-07 v2 Social and Information Networks
Abstract
In a recent paper, we analyzed the self-assembly of a complex cooperation network. The network was shown to approach a state where every agent invests the same amount of resources. Nevertheless, highly-connected agents arise that extract extraordinarily high payoffs while contributing comparably little to any of their cooperations. Here, we investigate a variant of the model, in which highly-connected agents have access to additional resources. We study analytically and numerically whether these resources are invested in existing collaborations, leading to a fairer load distribution, or in establishing new collaborations, leading to an even less fair distribution of loads and payoffs.
Cite
@article{arxiv.1201.4955,
title = {Coordination, Differentiation and Fairness in a population of cooperating agents},
author = {Anne-Ly Do and Lars Rudolf and Thilo Gross},
journal= {arXiv preprint arXiv:1201.4955},
year = {2012}
}
Comments
10 pages, 3 figures