Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/100523
Type: Conference paper
Title: Re-learning labeled categories reveals structured representations
Author: Hendrickson, A.
Kachergis, G.
Fausey, C.
Goldstone, R.
Citation: Proceedings of the 34th Annual Conference of the Cognitive Science Society, 2012 / pp.1668-1673
Publisher: Cognitive Science Society
Issue Date: 2012
ISBN: 9780976831884
Conference Name: 34th Annual Conference of the Cognitive Science Society (01 Aug 2012 - 04 Aug 2012 : Sapporo, Japan)
Statement of
Responsibility: 
Andrew T. Hendrickson; George Kachergis; Caitlin M. Fausey; Robert L. Goldstone
Abstract: How do people learn to group and re-group objects into labeled categories? In this paper, we examine mechanisms that guide how people re-represent categories. In two experiments, we examine what is easy and what is hard to relearn as people update their knowledge about labeled groups of objects. In Study 1, we test how people learn and re-learn to group objects that share no perceptual features. Data suggest that people easily learn to re-label objects when the category structure remains the same. In Study 2, we test whether more general types of labeling conventions — words that do or do not correspond with object similarities — influence learning and re-learning. Data suggest that people are able to learn either kind of convention and may have trouble switching between them when re-structuring their knowledge. Implications for category learning, second language acquisition and updating representations are discussed.
Keywords: categories; labels; learning and transfer; knowledge change
Rights: Copyright status unknown
RMID: 0030051859
Published version: https://mindmodeling.org/cogsci2012/papers/0294/index.html
Appears in Collections:Psychology publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.