启发式
可能性
利比里亚元
启发式
价值(数学)
心理学
结果(博弈论)
事件(粒子物理)
精算学
计算机科学
计量经济学
社会心理学
经济
人工智能
数理经济学
机器学习
操作系统
物理
量子力学
逻辑回归
财务
作者
Amos Tversky,Daniel Kahneman
出处
期刊:Cambridge University Press eBooks
[Cambridge University Press]
日期:1982-04-30
卷期号:: 3-20
被引量:3648
标识
DOI:10.1017/cbo9780511809477.002
摘要
Many decisions are based on beliefs concerning the likelihood of uncertain events such as the outcome of an election, the guilt of a defendant, or the future value of the dollar. These beliefs are usually expressed in statements such as “I think that …,” “chances are …,” “it is unlikely that …,” and so forth. Occasionally, beliefs concerning uncertain events are expressed in numerical form as odds or subjective probabilities. What determines such beliefs? How do people assess the probability of an uncertain event or the value of an uncertain quantity? This article shows that people rely on a limited number of heuristic principles which reduce the complex tasks of assessing probabilities and predicting values to simpler judgmental operations. In general, these heuristics are quite useful, but sometimes they lead to severe and systematic errors.
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