论文标题
长期学习和仓促停止：歧义的瓦尔德问题
Prolonged Learning and Hasty Stopping: the Wald Problem with Ambiguity
论文作者
论文摘要
本文研究了歧义性决策者（DM）的顺序信息获取，后者决定在采取不可逆转的行动之前收集信息多长时间。代理人优化了先验的最坏情况信念和更新。我们表明，对歧义的考虑引起了丰富的动态：与贝叶斯DM相比，当面对适度的不确定性时，DM往往会过度实验，并且在面对高不确定性时可能会停止过早实验。在后一种情况下，DM的停止规则在信念和随机停止方面是非单调的。
This paper studies sequential information acquisition by an ambiguity-averse decision maker (DM), who decides how long to collect information before taking an irreversible action. The agent optimizes against the worst-case belief and updates prior by prior. We show that the consideration of ambiguity gives rise to rich dynamics: compared to the Bayesian DM, the DM here tends to experiment excessively when facing modest uncertainty and, to counteract it, may stop experimenting prematurely when facing high uncertainty. In the latter case, the DM's stopping rule is non-monotonic in beliefs and features randomized stopping.
