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Logical Gaps in the Approximate Solutions of the Social Learning Game and an Exact Solution

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  • Wenjie Dai
  • Xin Wang
  • Zengru Di
  • Jinshan Wu

Abstract

After the social learning models were proposed, finding solutions to the games becomes a well-defined mathematical question. However, almost all papers on the games and their applications are based on solutions built either upon an ad-hoc argument or a twisted Bayesian analysis of the games. Here, we present logical gaps in those solutions and offer an exact solution of our own. We also introduce a minor extension to the original game so that not only logical differences but also differences in action outcomes among those solutions become visible.

Suggested Citation

  • Wenjie Dai & Xin Wang & Zengru Di & Jinshan Wu, 2014. "Logical Gaps in the Approximate Solutions of the Social Learning Game and an Exact Solution," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-18, December.
    • Handle: RePEc:plo:pone00:0115706
    DOI: 10.1371/journal.pone.0115706
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    References listed on IDEAS

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