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亲社会风险行为与认知计算的双系统协作模型:综述

Dual-System Collaborative Model of Prosocial Risky Behavior and Cognitive Computation: A Review.

作者信息

Liu Changlin, Zhao Boqiang, Zhan Youlong, Hu Ping, Mai Xiaoqin

机构信息

Department of Psychology, Renmin University of China, Beijing, China.

Department of Psychology, Hunan University of Science and Technology, Xiangtan, China.

出版信息

Psych J. 2025 Apr;14(2):159-171. doi: 10.1002/pchj.822. Epub 2024 Dec 26.

DOI:10.1002/pchj.822
PMID:39726147
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11961247/
Abstract

Prosocial risky behavior (PRB) refers to actions taken at personal risk for the benefit of others or societal welfare, combining risk-taking with prosocial intent, and involving the integrated processing of individual risk and social preferences. Building upon the review and evaluation of the definitions of PRB, existing research tools, theoretical models, and neural mechanisms, this paper elucidates the synergistic interaction and mechanisms of the emotional drive and cognitive reasoning systems in PRB. It constructs a dual-system collaborative model for PRB. Furthermore, to address the shortcomings of existing PRB research tools, such as limited cross-domain applicability and low reliability, this paper designs a PRB research paradigm within the economic decision-making domain. Combined with the dual-system collaborative model of PRB, this paper proposes a cognitive computational modeling concept for PRB and preliminarily verifies its reliability. Future research should conduct cross-cultural studies, utilizing cognitive neuroscientific technologies, to explore the cultural differences in the mechanisms underlying PRB, thereby enhancing the cross-cultural interpretive power of the constructed dual-system collaborative model of PRB. This broadens the theoretical explanatory pathways and research dimensions of PRB.

摘要

亲社会冒险行为(PRB)是指为了他人利益或社会福祉而甘愿个人冒险的行为,它将冒险与亲社会意图相结合,涉及个体风险和社会偏好的综合处理。本文在对亲社会冒险行为的定义、现有研究工具、理论模型和神经机制进行综述和评估的基础上,阐明了亲社会冒险行为中情感驱动系统和认知推理系统的协同交互作用及机制。构建了亲社会冒险行为的双系统协同模型。此外,针对现有亲社会冒险行为研究工具存在的跨领域适用性有限、可靠性较低等不足,本文设计了经济决策领域内的亲社会冒险行为研究范式。结合亲社会冒险行为的双系统协同模型,本文提出了亲社会冒险行为的认知计算建模概念,并初步验证了其可靠性。未来研究应利用认知神经科学技术开展跨文化研究,探索亲社会冒险行为背后机制的文化差异,从而增强所构建的亲社会冒险行为双系统协同模型的跨文化解释力。这拓宽了亲社会冒险行为的理论解释路径和研究维度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2678/11961247/080aabfe8921/PCHJ-14-159-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2678/11961247/aff31a4b3fa1/PCHJ-14-159-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2678/11961247/080aabfe8921/PCHJ-14-159-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2678/11961247/aff31a4b3fa1/PCHJ-14-159-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2678/11961247/080aabfe8921/PCHJ-14-159-g002.jpg

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本文引用的文献

1
Are you more risk-seeking when helping others? Effects of situational urgency and peer presence on prosocial risky behavior.在帮助他人时你会更爱冒险吗?情境紧迫性和同伴在场对亲社会冒险行为的影响。
Front Psychol. 2023 Feb 27;14:1036624. doi: 10.3389/fpsyg.2023.1036624. eCollection 2023.
2
Neural and Cognitive Signatures of Guilt Predict Hypocritical Blame.内疚的神经和认知特征预测虚伪的指责。
Psychol Sci. 2022 Nov;33(11):1909-1927. doi: 10.1177/09567976221122765. Epub 2022 Oct 6.
3
Prosocial correlates of transformative experiences at secular multi-day mass gatherings.
世俗的多天集会中的变革性体验的亲社会相关性。
Nat Commun. 2022 May 27;13(1):2600. doi: 10.1038/s41467-022-29600-1.
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Computational and Motivational Mechanisms of Human Social Decision Making Involving Close Others.涉及亲密他人的人类社会决策的计算与动机机制
J Exp Soc Psychol. 2021 Mar;93. doi: 10.1016/j.jesp.2020.104086. Epub 2021 Jan 7.
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Spurious normativity enhances learning of compliance and enforcement behavior in artificial agents.虚假规范性增强了对人工代理中合规和执行行为的学习。
Proc Natl Acad Sci U S A. 2022 Jan 18;119(3). doi: 10.1073/pnas.2106028118.
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Neurocomputational mechanisms engaged in moral choices and moral learning.参与道德选择和道德学习的神经计算机制。
Neurosci Biobehav Rev. 2022 Jan;132:50-60. doi: 10.1016/j.neubiorev.2021.11.023. Epub 2021 Nov 23.
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When Helping Is Risky: The Behavioral and Neurobiological Trade-off of Social and Risk Preferences.当助人有风险:社会偏好和风险偏好的行为和神经生物学权衡。
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