概率推理和判断偏差中的错误

D. Benjamin
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引用次数: 209

摘要

概率推理中的错误一直是许多心理学研究的焦点,也是现代行为经济学的原始主题之一。本章回顾了关于这一主题的理论和证据,目的是促进更系统地研究信念偏差及其与经济学的整合。本章讨论了关于随机过程的信念偏差、信念更新中的偏差、作为统一理论的代表性启发式,以及有偏差的信念更新与更新情境的其他特征之间的相互作用。在整个过程中,我的目标是传达每种假定的偏见有多少证据支持(和反对),我强调了不同的偏见何时以及如何相互关联。本章最后总结了人们更新太多或太少的一般经验教训,反思了建模挑战,指出了与偏差相关的经济学领域,并强调了未来工作的一些可能方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Errors in Probabilistic Reasoning and Judgment Biases
Errors in probabilistic reasoning have been the focus of much psychology research and are among the original topics of modern behavioral economics. This chapter reviews theory and evidence on this topic, with the goal of facilitating more systematic study of belief biases and their integration into economics. The chapter discusses biases in beliefs about random processes, biases in belief updating, the representativeness heuristic as a possible unifying theory, and interactions between biased belief updating and other features of the updating situation. Throughout, I aim to convey how much evidence there is for (and against) each putative bias, and I highlight when and how different biases may be related to each other. The chapter ends by drawing general lessons for when people update too much or too little, reflecting on modeling challenges, pointing to areas of economics to which the biases are relevant, and highlighting some possible directions for future work.
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