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Incentives to Cooperate in Network Formation

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  • Haydée Lugo

    ()

  • Raúl Jiménez

Abstract

We propose a mechanism based on taxes and subsidies that enhances high cooperation in evolutionary networks. The interactions among agents are based on a Prisoners' Dilemma game in which each agent plays the same strategy with its local neighbors, collects an aggregate payoff and imitates the strategy of its best neighbor. The network can be adaptive if agents are able to change their local neighborhood according to their satisfaction level and the strategy played. The condition, in order to obtain highly cooperative non-taxed networks in the long-run time, is that the initial fraction of cooperators has to be sufficiently high. Focussing on this restriction, the implementation of our mechanism produces successful results, a highly cooperative network is reached. Additionally, we observe that the mechanism slightly affects the macrostructure of networks once they have reached a sufficiently high fraction of cooperative agents, this suggests that the mechanism could be implemented only for a short finite period of time.

(This abstract was borrowed from another version of this item.)

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File URL: http://hdl.handle.net/10.1007/s10614-006-9033-7
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Bibliographic Info

Article provided by Society for Computational Economics in its journal Computational Economics.

Volume (Year): 28 (2006)
Issue (Month): 1 (August)
Pages: 15-27

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Handle: RePEc:kap:compec:v:28:y:2006:i:1:p:15-27

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Web page: http://www.springerlink.com/link.asp?id=100248
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Related research

Keywords: Spatial Prisoner's Dilemma; tax-subsidy mechanism; emergence of cooperation;

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  1. Nicolaas J. Vriend, 2005. "ACE Models of Endogenous Interactions," Working Papers 542, Queen Mary, University of London, School of Economics and Finance.
  2. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, EconWPA, revised 15 Aug 2002.
  3. Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers 10368, Iowa State University, Department of Economics.
  4. Nobuyuki Hanaki & Alexander Peterhansl & Peter S. Dodds & Duncan J. Watts, 2007. "Cooperation in Evolving Social Networks," Management Science, INFORMS, vol. 53(7), pages 1036-1050, July.
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Cited by:
  1. Haydée Lugo, 2013. "Heterogeneity in the resistance to learning," Journal of Economic Interaction and Coordination, Springer, vol. 8(2), pages 267-276, October.

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