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  • 标题:Learning with whom to Interact: A Public Good Game on a Dynamic Network
  • 本地全文:下载
  • 作者:Matthias Greiff
  • 期刊名称:Etica e Politica/Ethics and Politics
  • 印刷版ISSN:1825-5167
  • 出版年度:2013
  • 卷号:XV
  • 期号:2
  • 出版社:University of Trieste, Department of Philosophy
  • 摘要:We use a public good game with rewards, played on a dynamic network, to illustrate how self-organizing communities can achieve the provision of a public good without a central authority or privatization. Given that rewards are given to contributors and that the choice of whom to reward depends on social distance, free-riders will be excluded from rewards and the (almost efficient) provision of a public good becomes possible. We review the related experimental economics literature and illustrate how the model can be tested in the laboratory
  • 关键词:Dynamic networks; evolutionary game theory; public goods; reinforcement learning; social;networks
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