论文标题
逆活动感应：建模和理解及时的决策
Inverse Active Sensing: Modeling and Understanding Timely Decision-Making
论文作者
论文摘要
基于循证的决策需要收集（昂贵）关于基本现象现象的观察，并随后根据积累的证据承诺（知情）决定。在这种情况下，主动感应是面向目标的问题，即有效地选择要进行哪些采购以及何时以及确定的决定。随着其补充，逆势感应旨在鉴于其可观察到的决策行为，试图发现代理商的偏好和策略。在本文中，我们为内源性，与上下文相关的时间压力下的一般基于循证决策的总体设置开发了一个表现力，统一的框架 - 这需要在准确性，快速和信息成本之间进行谈判（主观）折衷。使用这种语言，我们演示了它如何实现在决策策略（正向问题）中的惊喜，悬念和最优性的直观概念。最后，我们说明了这种公式如何通过量化观察到的决策策略中隐含的偏好（反问题）来理解决策行为。
Evidence-based decision-making entails collecting (costly) observations about an underlying phenomenon of interest, and subsequently committing to an (informed) decision on the basis of accumulated evidence. In this setting, active sensing is the goal-oriented problem of efficiently selecting which acquisitions to make, and when and what decision to settle on. As its complement, inverse active sensing seeks to uncover an agent's preferences and strategy given their observable decision-making behavior. In this paper, we develop an expressive, unified framework for the general setting of evidence-based decision-making under endogenous, context-dependent time pressure---which requires negotiating (subjective) tradeoffs between accuracy, speediness, and cost of information. Using this language, we demonstrate how it enables modeling intuitive notions of surprise, suspense, and optimality in decision strategies (the forward problem). Finally, we illustrate how this formulation enables understanding decision-making behavior by quantifying preferences implicit in observed decision strategies (the inverse problem).
