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Games 2012, 3(1), 30-40; doi:10.3390/g3010030

Coordination, Differentiation and Fairness in a Population of Cooperating Agents

1,* , 2
1 Max Planck Institute for the Physics of Complex Systems, Nöthnitzer Str. 38, Dresden 01187, Germany 2 Department of Engineering Mathematics, University of Bristol, Merchant Venturers Building, Bristol BS8 1TR, UK
* Author to whom correspondence should be addressed.
Received: 2 February 2012 / Revised: 27 February 2012 / Accepted: 29 February 2012 / Published: 5 March 2012
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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.
Keywords: self-organization; coordination; snowdrift game; adaptive network self-organization; coordination; snowdrift game; adaptive network
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Do, A.-L.; Rudolf, L.; Gross, T. Coordination, Differentiation and Fairness in a Population of Cooperating Agents. Games 2012, 3, 30-40.

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