摘要
该文介绍了类别学习中的分类和推理两种任务,并从学习的条件、过程、结果和发展等方面的归纳了当前研究的最新进展。表明了类别的分类学习和推理学习有相同的形式,但学习的信息处理过程和学习的结果不同。分类学习关注类别间的区分性信息,更可能是样例学习结果;推理学习更为关注单个类别内部的共同性信息,更可能是原型学习结果。这方面的结论强化了基于解释的观点。
The paper introduces two means of category learning, classification and inference learning, in terms of the learning condition, information process and final memory. Classification is a kind of inductive inference and its learners are highly sensitivity to diagnostic features between categories and possibility to learn exemplar, whereas inference learning is a deductive process and its learners are focus on within-category information and possibility to learn prototype. Different types of category learning lead to different category representations. Research on two kinds of category learning is consistent with the interpretation-base view of categorization and these results are reviewed.
出处
《心理科学进展》
CSSCI
CSCD
北大核心
2004年第5期774-783,共10页
Advances in Psychological Science
基金
全国教育科学十五规划青年专项课题资助项目(EBA030412)。
关键词
类别学习
归类
分类
推理
category learning, categorization, classification, inference.
