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诡辩推理:适应极端不确定性。

Eristic reasoning: Adaptation to extreme uncertainty.

作者信息

Kurdoglu Rasim Serdar, Jekel Marc, Ateş Nüfer Yasin

机构信息

Faculty of Business Administration, Bilkent University, Ankara, Turkey.

Faculty of Human Sciences, University of Cologne, Cologne, Germany.

出版信息

Front Psychol. 2023 Feb 9;14:1004031. doi: 10.3389/fpsyg.2023.1004031. eCollection 2023.

DOI:10.3389/fpsyg.2023.1004031
PMID:36844329
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9947153/
Abstract

Heuristics (shortcut solution rules) can help adaptation to uncertainty by leading to sufficiently accurate decisions with little information. However, heuristics would fail under extreme uncertainty where information is so scarce that any heuristic would be highly misleading for accuracy-seeking. Thus, under very high levels of uncertainty, decision-makers rely on heuristics to no avail. We posit that eristic reasoning (i.e., self-serving inferences for hedonic pursuits), rather than heuristic reasoning, is adaptive when uncertainty is extreme, as eristic reasoning produces instant hedonic gratifications helpful for coping. Eristic reasoning aims at hedonic gains (e.g., relief from the anxiety of uncertainty) that can be pursued by self-serving inferences. As such, eristic reasoning does not require any information about the environment as it instead gets cues introspectively from bodily signals informing what the organism hedonically needs as shaped by individual differences. We explain how decision-makers can benefit from heuristic vs. eristic reasoning under different levels of uncertainty. As a result, by integrating the outputs of formerly published empirical research and our conceptual discussions pertaining to eristic reasoning, we conceptually criticize the fast-and-frugal heuristics approach, which implies that heuristics are the only means of adapting to uncertainty.

摘要

启发式方法(捷径解决方案规则)可以通过利用少量信息做出足够准确的决策来帮助适应不确定性。然而,在极端不确定性下,启发式方法会失效,因为此时信息非常稀缺,任何启发式方法对于追求准确性而言都会极具误导性。因此,在高度不确定性的情况下,决策者依赖启发式方法是徒劳的。我们认为,在不确定性极端的情况下,诡辩推理(即为享乐追求进行的自利推断)而非启发式推理具有适应性,因为诡辩推理能产生即时的享乐满足感,有助于应对。诡辩推理旨在通过自利推断追求享乐收益(例如,减轻不确定性带来的焦虑)。因此,诡辩推理不需要任何关于环境的信息,而是从身体信号中内省地获取线索,这些信号告知个体差异所塑造的生物体享乐需求。我们解释了决策者如何在不同程度的不确定性下从启发式推理与诡辩推理中受益。结果,通过整合先前发表的实证研究结果以及我们关于诡辩推理的概念性讨论,我们从概念上批判了快速节俭启发式方法,该方法暗示启发式方法是适应不确定性的唯一手段。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a61d/9947153/a07b7fedadb6/fpsyg-14-1004031-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a61d/9947153/a07b7fedadb6/fpsyg-14-1004031-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a61d/9947153/a07b7fedadb6/fpsyg-14-1004031-g001.jpg

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本文引用的文献

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