负面影响驱动的冲动性作为基于层次模型的过度概括
Aysenur Okan1, Michael N Hallquist1
1Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, NC, USA.
Trends in cognitive sciences
|February 7, 2025
概括
过去的经历可能会导致过度概括,特别是在冲动行为中. 这项研究表明,情绪反应可能会导致个人从表面的相似性中过度概括,阻碍从微妙的线索中学习.
科学领域:
- 认知心理学 认知心理学
- 神经科学是一个神经科学.
- 行为经济学是一种行为经济学.
背景情况:
- 一般化对于学习至关重要,它允许根据过去的经验适应新情况.
- 传统观点将行为分类为基于模型 (MB) 或无模型 (MF),反应性行为通常被认为是MF.
- 过度概括,特别是在情绪充满的情况下,可能会导致不理想的决策.
研究的目的:
- 通过概括模型的镜头重新检查反应和刚性行为.
- 提出一种新的概念,将情绪冲动与过度概括联系起来.
- 调查基于模型 (MB) 的过程如何为传统上被认为是无模型 (MF) 的行为做出贡献.
主要方法:
- 在认知科学中分析概括模型.
- 概念框架,将情感影响纳入决策过程.
- 检查表面层面的相似性与微妙的线索对行为概括的影响.
主要成果:
- 以前被认为是无模型 (MF) 的反应性和刚性行为,可以从基于模型 (MB) 的概括过程中产生.
- 情绪驱动的冲动行为与基于表面相似之处的过度概括的倾向有关.
- 过度概括阻碍了在决策中整合更具信息性,更具歧视性的线索.
结论:
- 一般化模型为反应性行为提供了新的视角,揭示了基于模型 (MB) 的潜在机制.
- 情绪状态可以促进过度概括,导致刚性和低于最佳的行为反应.
- 了解微妙线索的作用对于克服不适应的概括模式至关重要.
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