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突显驱动的价值整合解释了决策偏差和偏好反转。

Salience driven value integration explains decision biases and preference reversal.

机构信息

Department of Cognitive, Perceptual, and Brain Sciences, University College London, London WC1H 0AP, United Kingdom.

出版信息

Proc Natl Acad Sci U S A. 2012 Jun 12;109(24):9659-64. doi: 10.1073/pnas.1119569109. Epub 2012 May 25.

Abstract

Human choice behavior exhibits many paradoxical and challenging patterns. Traditional explanations focus on how values are represented, but little is known about how values are integrated. Here we outline a psychophysical task for value integration that can be used as a window on high-level, multiattribute decisions. Participants choose between alternative rapidly presented streams of numerical values. By controlling the temporal distribution of the values, we demonstrate that this process underlies many puzzling choice paradoxes, such as temporal, risk, and framing biases, as well as preference reversals. These phenomena can be explained by a simple mechanism based on the integration of values, weighted by their salience. The salience of a sampled value depends on its temporal order and momentary rank in the decision context, whereas the direction of the weighting is determined by the task framing. We show that many known choice anomalies may arise from the microstructure of the value integration process.

摘要

人类的选择行为表现出许多矛盾和具有挑战性的模式。传统的解释侧重于价值是如何被表示的,但对于价值是如何被整合的却知之甚少。在这里,我们概述了一个用于价值整合的心理物理学任务,它可以作为一个了解高层次、多属性决策的窗口。参与者在替代的快速呈现的数值流之间进行选择。通过控制价值的时间分布,我们证明这个过程是许多令人困惑的选择悖论的基础,例如时间、风险和框架偏见,以及偏好反转。这些现象可以用一种简单的机制来解释,这种机制基于价值的整合,并根据其显著性进行加权。抽样价值的显著性取决于其在决策环境中的时间顺序和当前排名,而加权的方向则由任务框架决定。我们表明,许多已知的选择异常可能是由价值整合过程的微观结构引起的。

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