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Permanent link to this item: http://hdl.handle.net/2440/46288

Type: Conference paper
Title: Representational shifts during category learning
Author: Vanpaemel, Wolf
Navarro, Daniel Joseph
Citation: Proceedings from CogSci 2007: The 29th Annual Conference of the Cognitive Science Society, Nashville, Tennessee, USA August 1-4, 2007, pp.1599-1604
Publisher: Psychology Press
Issue Date: 2007
ISSN: 0364-0213
Conference Name: Annual Conference of the Cognitive Science Society (29th : 2007 : Nashville Tennessee)
School/Discipline: School of Psychology
Statement of
Responsibility: 
Wolf Vanpaemel ; Daniel J. Navarro
Abstract: Prototype and exemplar models form two extremes in a class of mixture model accounts of human category learning. This class of models allows flexible representations that can interpolate from simple prototypes to highly differentiated exemplar accounts. We apply one such framework to data that afford an insight into the nature of representational changes during category learning. While generally supporting the notion of a prototype-to-exemplar shift during learning, the detailed analysis suggests that the nature of the changes is considerably more complex than previous work suggests.
RMID: 0020077670
Published version: http://www.cogsci.rpi.edu/CSJarchive/Proceedings/2007/docs/p1599.pdf
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