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道德判断的(不)合理性

(Ir)rationality of Moral Judgment.

作者信息

Regenwetter Michel, Currie Brittney, Huang Yu, Smeulders Bart, Carlson Anna K

机构信息

Department of Psychology, University of Illinois at Urbana-Champaign.

Department of Political Science, University of Illinois at Urbana-Champaign.

出版信息

Perspect Psychol Sci. 2025 May;20(3):555-571. doi: 10.1177/17456916241260611. Epub 2025 Mar 4.

Abstract

Chaotic responses to COVID-19, political polarization, and pervasive misinformation raise the question of whether some or many individuals exercise irrational moral judgment. We provide the first mathematically correct test for transitivity of moral preferences. Transitivity is the most prominent rationality criterion of the behavioral, biological, and economic sciences. However, transitivity is conceptually, mathematically, and statistically difficult to evaluate empirically. We tested three parsimonious, order-constrained, probabilistic characterizations: First, the weak utility model treats an individual's choices as noisy reflections of a single, deterministic, underlying transitive preference; second, a variant severely limits the allowable response noise; and third, by the general random utility hypothesis, individuals' choices reveal uncertain, but transitive, moral preferences. Among 28 individuals, everyone's data were consistent with the weak utility model and general random utility model, thus supporting both operationalizations. Tightening the bounds on error rates in noisy responses yielded a poorly performing model, thus rejecting the model according to which choices are highly consistent with a single transitive preference. Bayesian model selection favored probabilistic transitive preferences and hence the equivalent random utility hypothesis. This suggests that there is some order underlying the apparent chaos: Rather than presume widespread disregard for moral principles, policymakers may build on navigating and reconciling extreme heterogeneity compounded with individual uncertainty.

摘要

对新冠疫情的混乱应对、政治两极分化以及普遍存在的错误信息,引发了一个问题,即是否有一些或许多人做出了非理性的道德判断。我们提供了首个关于道德偏好可传递性的数学上正确的检验。可传递性是行为科学、生物学和经济学中最突出的理性标准。然而,可传递性在概念、数学和统计上都很难通过实证进行评估。我们测试了三种简洁的、有序约束的概率表征:第一,弱效用模型将个体的选择视为单一、确定性的潜在可传递偏好的有噪声反映;第二,一个变体严格限制了允许的反应噪声;第三,根据一般随机效用假设,个体的选择揭示了不确定但可传递的道德偏好。在28名个体中,每个人的数据都与弱效用模型和一般随机效用模型一致,从而支持了这两种操作化方法。收紧有噪声反应中错误率的界限会产生一个表现不佳的模型,因此拒绝了那种认为选择与单一可传递偏好高度一致的模型。贝叶斯模型选择支持概率性可传递偏好,因此也支持等效的随机效用假设。这表明在明显的混乱之下存在某种秩序:政策制定者与其假定人们普遍无视道德原则,不如基于应对和协调极端异质性与个体不确定性来开展工作。

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