Altering object representations through category learning
Altering object representations through category learning
复制标题
DOI：
10.1016/s0010-0277(00)00099-8
复制
发表时间：
2001-01-01
期刊：
影响因子：
3.4
通讯作者：
Shiffrin, RM
中科院分区：
文献类型：
--
作者：
Goldstone, RL;Lippa, Y;Shiffrin, RM
先前的研究表明，通过相似性评级和心理物理学歧视来衡量，归入同一类别的对象变得更加相似，归入不同类别的对象变得越来越不相似。这些发现与概念学习对相似性影响的两种理论是一致的。通过战略判断偏差的解释，与对象相关的类别被明确地用作确定相似性的线索，并且分类在一起的对象被判断为更相似，因为相似性不仅是对象本身的函数，而且是对象的类别标签的函数。通过更改对象描述帐户，类别学习改变了对象本身的描述，强调与分类相关的属性。引入了一种区分这些帐户的新方法，该方法测量分类对象与中性对象的相似度评级之间的差异。结果表明基于类别标签的策略偏差和真正的表征变化，其中策略偏差主要影响属于不同类别的对象，而表征变化主要影响属于同一类别的对象，(C) 2001 Elsevier Science B.V. 保留所有权利。
Previous research has shown that objects that are grouped together in the same category become more similar to each other and that objects that are grouped in different categories become increasingly dissimilar, as measured by similarity ratings and psychophysical discriminations. These findings are consistent with two theories of the influence of concept learning on similarity. By a Strategic Judgment Bias account, the categories associated with objects are explicitly used as cues for determining similarity, and objects that are categorized together are judged to be more similar because similarity is not only a function of the objects themselves, but also the objects' category labels. By a Changed Object Description account, category learning alters the description of the objects themselves, emphasizing properties that are relevant for categorization. A new method for distinguishing between these accounts is introduced which measures the difference between the similarity ratings of categorized objects to a neutral object. The results indicate both strategic biases based on category labels and genuine representational change, with the strategic bias affecting mostly objects belonging to different categories and the representational change affecting mostly objects belonging to the same category, (C) 2001 Elsevier Science B.V. All rights reserved.