因果认知中的反事实模拟

IF 16.7 1区 心理学 Q1 BEHAVIORAL SCIENCES
Trends in Cognitive Sciences Pub Date : 2024-10-01 Epub Date: 2024-05-21 DOI:10.1016/j.tics.2024.04.012
Tobias Gerstenberg
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引用次数: 0

摘要

人们如何做出因果判断并分配责任?在这篇评论文章中,我认为反事实模拟是关键。要模拟反事实,我们需要三个要素:世界的生成性心智模型、对该模型进行干预的能力以及模拟这些干预后果的能力。反事实模拟模型(CSM)利用这些要素来捕捉人们对物理和社会世界的直观理解。在物理领域,CSM 可以预测人们对动态碰撞事件、涉及多重原因的复杂情况、作为原因的遗漏以及维持物理稳定性的原因的因果判断。在社会领域,CSM 可预测帮助和阻碍情景中的责任判断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Counterfactual simulation in causal cognition.

How do people make causal judgments and assign responsibility? In this review article, I argue that counterfactual simulations are key. To simulate counterfactuals, we need three ingredients: a generative mental model of the world, the ability to perform interventions on that model, and the capacity to simulate the consequences of these interventions. The counterfactual simulation model (CSM) uses these ingredients to capture people's intuitive understanding of the physical and social world. In the physical domain, the CSM predicts people's causal judgments about dynamic collision events, complex situations that involve multiple causes, omissions as causes, and causes that sustain physical stability. In the social domain, the CSM predicts responsibility judgments in helping and hindering scenarios.

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来源期刊
Trends in Cognitive Sciences
Trends in Cognitive Sciences 医学-行为科学
CiteScore
27.90
自引率
1.50%
发文量
156
审稿时长
6-12 weeks
期刊介绍: Essential reading for those working directly in the cognitive sciences or in related specialist areas, Trends in Cognitive Sciences provides an instant overview of current thinking for scientists, students and teachers who want to keep up with the latest developments in the cognitive sciences. The journal brings together research in psychology, artificial intelligence, linguistics, philosophy, computer science and neuroscience. Trends in Cognitive Sciences provides a platform for the interaction of these disciplines and the evolution of cognitive science as an independent field of study.
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