Classification and Inference in Category Learning
类别学习中的分类和推理

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.