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The K-armed bandit problem with multiple priors
Li, Jian
刊名JOURNAL OF MATHEMATICAL ECONOMICS
2019-01
卷号80页码:22-38
关键词Bandit problem Ambiguity Learning Search
ISSN号0304-4068
DOI10.1016/j.jmateco.2018.10.002
英文摘要This paper studies the impact of ambiguity in the classic K-armed bandit problem. I show that two classic results are robust to ambiguity in the multiple-priors model: (i) In the one-armed bandit, the optimal plan is a switching strategy characterized by a multiple-priors Gittins-Jones index. (ii) The seminal Gittins-Jones theorem is generalized to the multiple-priors K-armed bandit case. Introducing ambiguity has two implications. First, in the K-armed bandit case, the incentive to experiment with an arm decreases in its own perceived ambiguity and increases in other arms' ambiguity, differing from the comparative statics on risk. This suggests that ambiguity might explain the widely observed underexperimentation in new technologies and consumer products. Second, I characterize an upper bound for the multiple-priors Gittins-Jones index, as the lower envelope of the classic single-prior Gittins-Jones index for every prior lying in the multiple-priors set. I show with a counterexample that this upper bound can be strict, and I identify sufficient conditions under which this upper bound is exact. (C) 2018 Elsevier B.V. All rights reserved.
WOS研究方向Business & Economics ; Mathematics ; Mathematical Methods In Social Sciences
语种英语
出版者ELSEVIER SCIENCE SA
WOS记录号WOS:000458343700003
内容类型期刊论文
源URL[http://10.2.47.112/handle/2XS4QKH4/411]  
专题上海财经大学
通讯作者Li, Jian
作者单位Shanghai Univ Finance & Econ, Sch Econ, Shanghai, Peoples R China
推荐引用方式
GB/T 7714
Li, Jian. The K-armed bandit problem with multiple priors[J]. JOURNAL OF MATHEMATICAL ECONOMICS,2019,80:22-38.
APA Li, Jian.(2019).The K-armed bandit problem with multiple priors.JOURNAL OF MATHEMATICAL ECONOMICS,80,22-38.
MLA Li, Jian."The K-armed bandit problem with multiple priors".JOURNAL OF MATHEMATICAL ECONOMICS 80(2019):22-38.
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