Rationality for Engineers Part II- Heuristics and Biases

S. Yasseri
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引用次数: 1

Abstract

Article History: Received: 13 Apr. 2021 Accepted: 23 Aug. 2021 Two major research programs on the use of heuristics in decision-making exist, and each has its own set of followers. The first program was initiated by Kahneman and Tversky in the 70s. They primarily concentrated on the errors caused by using heuristics. This has now grown into many heuristics named after their associated biases. The second program was initiated by Gigerenzer and colleagues in Germany. Gigerenzer argues that although simple heuristics sometimes leads to “biased” decisions, they can deliver better answers in some situations. This is particularly true for uncertain or complex environments, where there is only a small data sample or there is no time to formally seek an optimized decision. Gigerenzer and colleagues have generated a substantial body of evidence that humans use simple heuristics, often with great results. Like Kahneman and Tversky, Gigerenzer’s work has attracted researchers exploring the power of “Fast and Frugal” Heuristics, and how they are used by humans. This part, of the four-part paper, discusses Kahneman and Gigerenzer's findings concerning engineering decision making. Avoiding errors when using simple heuristics is discussed in Part IV.
工程师的合理性第二部分-启发式和偏差
文章历史:收稿日期:2021年4月13日接受日期:2021年8月23日关于启发式在决策中的应用有两个主要的研究项目,每个项目都有自己的追随者。第一个项目是由卡尼曼和特沃斯基在70年代发起的。他们主要集中在使用启发式引起的错误。现在已经发展成许多以其相关偏见命名的启发式方法。第二个项目是由Gigerenzer和他在德国的同事发起的。Gigerenzer认为,尽管简单的启发式有时会导致“有偏见”的决定,但在某些情况下,它们可以提供更好的答案。对于不确定或复杂的环境尤其如此,因为只有很少的数据样本或没有时间正式寻求优化决策。Gigerenzer和他的同事们已经找到了大量的证据,证明人类使用简单的启发式方法,通常效果很好。像卡尼曼和特沃斯基一样,吉格伦泽的工作吸引了研究人员探索“快速和节俭”启发式的力量,以及它们如何被人类使用。这一部分是四部分论文的一部分,讨论了Kahneman和Gigerenzer关于工程决策的发现。第四部分将讨论在使用简单的启发式方法时避免错误。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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