讲座:Robust Social Learning from Unordered Actions 发布时间:2026-09-10

题    目:Robust Social Learning from Unordered Actions

嘉    宾:Kevin He  Assistant Professor , University of Pennsylvania

主持人:闵炜程 助理教授, 上海交通大学安泰经济与管理学院

时    间:2026年9月16日(周三)下午14:00-15:30

地    点:  上海交通大学徐汇校区安泰经济与管理学院A503

内容简介:People often learn from others’ actions without observing the chronology of who influenced whom. We study a sequential social-learning model where agents observe predecessors’ actions as an unordered set and minimize worst-case expected loss across move orders. The unique equilibrium with this robust decision criterion is DeGroot aggregation: each agent equally averages their private signal and all previous actions. Robust actions are disproportionately influenced by early signals and converge to a random consensus centered around the true state. By contrast, Bayesian agents in the same environment learn the state, as does a Bayesian observer who sees the unordered actions of robust agents.

演讲人简介:Kevin He is an Assistant Professor of Economics in University of Pennsylvania. He studies microeconomic theory and behavioral economics. Before joining Penn, He received his Ph.D. from Harvard University and was a postdoctoral fellow at Caltech.

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