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Coordination, Differentiation and Fairness in a Population of Cooperating Agents

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Author Info

  • Anne-Ly Do

    ()
    (Max Planck Institute for the Physics of Complex Systems, Nöthnitzer Str. 38, Dresden 01187, Germany)

  • Lars Rudolf

    ()
    (Department of Engineering Mathematics, University of Bristol, Merchant Venturers Building, Bristol BS8 1TR, UK)

  • Thilo Gross

    ()
    (Department of Engineering Mathematics, University of Bristol, Merchant Venturers Building, Bristol BS8 1TR, UK)

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    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.

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    File URL: http://www.mdpi.com/2073-4336/3/1/30/pdf
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    Bibliographic Info

    Article provided by MDPI, Open Access Journal in its journal Games.

    Volume (Year): 3 (2012)
    Issue (Month): 1 (March)
    Pages: 30-40

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    Handle: RePEc:gam:jgames:v:3:y:2012:i:1:p:30-40:d:16484

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    Related research

    Keywords: self-organization; coordination; snowdrift game; adaptive network;

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