通过环境统计来协调分类和记忆
Arjun Devraj1, Thomas L Griffiths1,2, Qiong Zhang3
1Computer Science Department, Princeton University, 35 Olden St, Princeton, NJ, 08540, USA.
Psychonomic bulletin & review
|February 17, 2024
概括
人类的分类适应环境统计. 虽然典型的实验显示越来越依赖于特定的例子随着时间的推移,现实的环境减少这种依赖,有利于一般的原型.
科学领域:
- 认知心理学 认知心理学
- 人类的认知人类的认知.
- 分类 分类 分类 分类 分类.
背景情况:
- 随着时间的推移,人类的分类从原型转向以示例为基础的表示.
- 记忆文献表明,随着时间的推移,一般知识比特定知识更容易获得.
- 现有的分类研究结果似乎与关于长期表示的记忆文献不一致.
研究的目的:
- 为了调和分类和记忆研究结果之间的明显冲突.
- 研究环境统计如何影响从原型转向以示例为基础的分类.
- 为了确定人类的分类是否适应环境的统计规律性.
主要方法:
- 模拟现实的环境统计数据,其中对象遇到的概率随着时间的推移而下降.
- 根据统一和现实的环境统计数据进行了分类实验.
- 多种类型结构来评估人类分类中的敏感性.
主要成果:
- 复制了以前的发现:在统一的统计数据下,以示例为基础的分类优势随着时间的推移而增加.
- 根据现实的环境统计数据,在以示例为基础的分类方面表现出较小的优势.
- 确认人类对呈现的类别结构的分类敏感性.
结论:
- 人类分类策略动态地适应环境统计.
- 以前的发现可能是统一的,非现实的实验环境的工件.
- 分类是一种灵活的认知过程,对生态有效性敏感.
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