Incentives to Cooperate in Network Formation
AbstractWe 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.
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Bibliographic InfoPaper provided by Society for Computational Economics in its series Computing in Economics and Finance 2005 with number 181.
Date of creation: 11 Nov 2005
Date of revision:
Prisoners' Dilemma; Adaptive Network; Taxes-subsidies Scheme;
Other versions of this item:
- H2 - Public Economics - - Taxation, Subsidies, and Revenue
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
- D6 - Microeconomics - - Welfare Economics
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- Nicolaas J. Vriend, 2005.
"ACE Models of Endogenous Interactions,"
542, Queen Mary, University of London, School of Economics and Finance.
- 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.
- 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.
- Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, EconWPA, revised 15 Aug 2002.
- 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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