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Integrating exemplars in category learning: Better late than never, but better early than late

Published online by Cambridge University Press:  30 August 2019

J. Eric Ivancich
Affiliation:
Department of Electrical Engineering and Computer Science, The University of Michigan, Ann Arbor, MI 48109 ivancich@eecs.umich.edu
David A. Schwartz
Affiliation:
Department of Psychology, The University of Michigan, Ann Arbor, MI 48109 {david.a.schwartz; skap}@umich.edu
Stephen Kaplan
Affiliation:
Department of Electrical Engineering and Computer Science, The University of Michigan, Ann Arbor, MI 48109 ivancich@eecs.umich.edu Department of Psychology, The University of Michigan, Ann Arbor, MI 48109 {david.a.schwartz; skap}@umich.edu

Abstract

Page's target article makes a good case for the strength of localist models. This can be characterized as an issue of where new information is integrated with respect to existing knowledge structures. We extend the analysis by discussing the dimension of when this integration takes place, the implications, and how they guide us in the creation of cognitive models.

Type
Brief Report
Copyright
2000 Cambridge University Press

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