在一组抽象概念中的分类学结构
Andrew S Persichetti1, Jiayu Shao1, Joseph M Denning2
1Section on Cognitive Neuropsychology, Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, ML, United States.
Frontiers in psychology
|January 19, 2024
概括
这项研究揭示了像"爱"这样的抽象概念是如何使用隐性判断来分类的,而不仅仅是明确的判断. 它揭示了抽象知识的结构,超越了具体的概念.
科学领域:
- 认知心理学 认知心理学
- 神经心理学 神经心理学
- 语言学的语言学.
背景情况:
- 抽象概念缺乏可感知的属性,导致它们在心理学研究中的历史不分化.
- 以前研究抽象概念分类的方法依赖于实验者定义的维度和明确的参与者判断.
- 这些传统方法在准确地反映抽象概念的心理表现方面存在局限性.
研究的目的:
- 用隐性判断来确定抽象概念的表示空间.
- 识别和验证抽象概念的类别,而不依赖先验维度或明确的评级.
- 证明抽象概念可以独立于具体概念来表征.
主要方法:
- 收集了大量关于50个抽象名词之间的相似性的非语言和隐含判断.
- 采用聚类程序来识别在两个独立数据集中复制的类别.
- 使用自动语义启动来验证已识别的类别.
主要成果:
- 在抽象概念的表征空间内确定了不同的类别.
- 证明这些隐式衍生类别是强大的和可复制的.
- 表明新类别的表现优于根据预先确定的维度的明确评级得出的类别.
结论:
- 抽象概念具有可定义的分类结构,可以通过隐性测量来发现.
- 这项研究为探索抽象概念表示提供了一种新的方法,绕过了对实验者定义维度的需求.
- 这些发现挑战了抽象概念本质上比具体概念结构较弱的观念.
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