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Queuing Approaches to Principal-Agent Communication Under Information Overload

机译:信息超载下的委托-代理通信排队方法

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In the information overload regime, human communication tasks such as responding to email are well-modeled as priority queues, where priority is determined by a mix of intrinsic motivation and extrinsic motivation corresponding to the task’s importance to the sender. We view priority queuing from a principal-agent perspective, and characterize the effect of priority-misalignment and information asymmetry between task senders and task receivers in both single-agent and multi-agent settings. In the single-agent setting, we find that discipline can override misalignment. Although variation in human interests leads to performance loss in the single-agent setting, the same variability is useful to the principal with optimal routing of tasks, if the principal has suitable information about agents’ priorities. Our approach starts to quantitatively address the effect of human dynamics in routine communication tasks.
机译:在信息过载的情况下,将诸如回复电子邮件之类的人际交流任务精心设计为优先级队列,其中优先级是由内在动机和外在动机的混合确定的,这些动机与任务对发件人的重要性相对应。我们从委托人代理的角度查看优先级排队,并描述了在单代理和多代理设置中,任务发送者和任务接收者之间优先级未对准和信息不对称的影响。在单一代理设置中,我们发现纪律可以取代错位。尽管人的利益差异会导致单代理设置中的性能下降,但如果委托人具有有关代理优先级的适当信息,则相同的可变性对于优化任务分配的委托人很有用。我们的方法开始定量地解决人类动态在常规交流任务中的影响。

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