THE REPRESENTATION OF SEMANTIC CATEGORIES

理解语义类别（即，人们如何代表 自然语言所表达的类别的意义）是许多 认知心理学中的问题，如语言，记忆，解决问题， 和决策。在这个研究项目中，我们正在开发一个模型， 语义类别表示，扩展和增强了“经典” 通过包含基于抽象特征的 表示，这也解释了以前认为是 不符合这样的模式。为了做到这一点，我们检查人们的 自然语言类别的表示，以及 这些代表。在过去的一年里，该模型已扩展到 解释类别包含判断中的类别间差异， 类别成员和典型性的跨文化差异，以及 人们对语义关系的表征。

An understanding of semantic categories (i.e., how people represent the meanings of categories expressed by natural language) is central to many issues in cognitive psychology, such is language, memory, problem-solving, and decision making. In this research project, we are developing a model of semantic category representation that extends and enhances the "classical" approach to category representation by including abstract feature-based representations, and that also accounts for data previously thought to be inconsistent with such a model. To do so, we examine people's representations of natural language categories, and the implications of these representations. In the last year, the model has been extended to explain inter-category differences in class inclusion judgments, cross-cultural differences in category membership and typicality, and people's representations of semantic relations.