知名自然概念中新型刺激的分类：一项案例研究。

Categorization of novel stimuli in well-known natural concepts: a case study.

作者信息

Storms G, De Boeck P, Ruts W

机构信息

Psychology Department, University of Leuven, Belgium.

出版信息

Psychon Bull Rev. 2001 Jun;8(2):377-84. doi: 10.3758/bf03196176.

DOI:10.3758/bf03196176

PMID:11495129

Abstract

In this study, we investigated to what extent exemplar-based and prototype predictors can be applied to predicting categorization in natural language concepts. Participants categorized novel tropical foods into two well-known natural language concepts: fruits and vegetables. The results indicate that both the prototype predictors and the exemplar predictors contribute significantly in accounting for the categorization choices but that the contribution of the prototype predictor comes from just a limited number of features.

摘要

在本研究中，我们调查了基于范例和原型的预测器在多大程度上可用于预测自然语言概念中的分类。参与者将新颖的热带食物归类为两个广为人知的自然语言概念：水果和蔬菜。结果表明，原型预测器和范例预测器在解释分类选择方面都有显著贡献，但原型预测器的贡献仅来自有限数量的特征。