Naive Learning with Uninformed Agents
收藏NBER2019-02-01 更新2025-01-04 收录
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https://www.nber.org/papers/w25497
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The DeGroot model has emerged as a credible alternative to the standard Bayesian model for studying learning on networks, offering a natural way to model naive learning in a complex setting. One unattractive aspect of this model is the assumption that the process starts with every node in the
提供机构:
美国国家经济研究局
创建时间:
2019-02-01



