G2TT
来源类型Discussion paper
规范类型论文
来源IDDP16364
DP16364 On the Optimal Scheduling of Attention
Kfir Eliaz; Daniel Fershtman; Alexander Frug
发表日期2021-07-15
出版年2021
语种英语
摘要We consider a decision-maker sequentially choosing which task to attend to when payoffs depend on both the chosen and unchosen tasks. We show that when tasks are substitutes (complements) such that the flow payoffs are a sum (product) of the tasks’ outputs, the optimal policy is an index policy, generalizing the independence of irrelevant alternatives (IIA) property known in the classic multi-armed bandit problem. We illustrate the usefulness of our model through several applications, including repeated bargaining, dynamic occupational choice, on-the-job training, R\&D, and dynamic supervision.
主题Industrial Organization
关键词Allocation of attention Scheduling Time management Multitasking Task juggling Multi-armed bandits
URLhttps://cepr.org/publications/dp16364
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/545326
推荐引用方式
GB/T 7714
Kfir Eliaz,Daniel Fershtman,Alexander Frug. DP16364 On the Optimal Scheduling of Attention. 2021.
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