Knowledge partitioning in categorization: constraints on exemplar models

Journal of Experimental Psychology. Learning, Memory, and Cognition
Lee-Xieng Yang, Stephan Lewandowsky

Abstract

The authors present 2 experiments that establish the presence of knowledge partitioning in perceptual categorization. Many participants learned to rely on a context cue, which did not predict category membership but identified partial boundaries, to gate independent partial categorization strategies. When participants partitioned their knowledge, a strategy used in 1 context was unaffected by knowledge demonstrably present in other contexts. An exemplar model, attentional learning covering map, was shown to be unable to accommodate knowledge partitioning. Instead, a mixture-of-experts model, attention to rules and instances in a unified model (ATRIUM), could handle the results. The success of ATRIUM resulted from its assumption that people memorize not only exemplars but also the way in which they are to be classified.

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Citations

Oct 16, 2004·Psychological Review·Michael L KalishJohn K Kruschke
Dec 8, 2005·Journal of Experimental Psychology. Learning, Memory, and Cognition·Michael L KalishMelissa Davies
Oct 26, 2011·The Quarterly Journal of Experimental Psychology : QJEP·Stewart Craig, Stephan Lewandowsky
Aug 3, 2007·Memory & Cognition·Lewis Borr, Gregory Murphy
May 11, 2007·Memory & Cognition·Stephan LewandowskyLee-Xieng Yang
Nov 28, 2015·Topics in Cognitive Science·Andrew Shtulman, Kelsey Harrington
Mar 23, 2010·Neurobiology of Learning and Memory·F Gregory Ashby, Matthew J Crossley
Dec 3, 2014·Brain and Cognition·Matthew J CrossleyW Todd Maddox
Apr 9, 2014·Frontiers in Psychology·Daniel R LittleStewart Craig
Oct 18, 2014·Frontiers in Psychology·Lee-Xieng Yang, Yueh-Hsun Wu
Nov 5, 2010·Cognitive Psychology·David K Sewell, Stephan Lewandowsky
Oct 17, 2018·Proceedings of the National Academy of Sciences of the United States of America·Timo FleschChristopher Summerfield

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