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Coordination, Differentiation and Fairness in a Population of Cooperating Agents
Max Planck Institute for the Physics of Complex Systems, Nöthnitzer Str. 38, Dresden 01187, Germany
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; in revised form: 27 February 2012 / Accepted: 29 February 2012 / Published: 5 March 2012
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.
Keywords: self-organization; coordination; snowdrift game; adaptive network
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Cite This Article
MDPI and ACS Style
Do, A.-L.; Rudolf, L.; Gross, T. Coordination, Differentiation and Fairness in a Population of Cooperating Agents. Games 2012, 3, 30-40.
Do A-L, Rudolf L, Gross T. Coordination, Differentiation and Fairness in a Population of Cooperating Agents. Games. 2012; 3(1):30-40.
Do, Anne-Ly; Rudolf, Lars; Gross, Thilo. 2012. "Coordination, Differentiation and Fairness in a Population of Cooperating Agents." Games 3, no. 1: 30-40.