Empirical and Computational Support for Context-Dependent Representations of Serial Order: Reply to Bowers, Damian, and Davis (2009)

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Bibliographic Details
Title: Empirical and Computational Support for Context-Dependent Representations of Serial Order: Reply to Bowers, Damian, and Davis (2009)
Language: English
Authors: Botvinick, Matthew M., Plaut, David C.
Source: Psychological Review. Oct 2009 116(4):998-1001.
Availability: American Psychological Association. Journals Department, 750 First Street NE, Washington, DC 20002-4242. Tel: 800-374-2721; Tel: 202-336-5510; Fax: 202-336-5502; e-mail: order@apa.org; Web site: http://www.apa.org/publications
Peer Reviewed: Y
Physical Description: PDF
Page Count: 4
Publication Date: 2009
Document Type: Journal Articles
Opinion Papers
Descriptors: Serial Ordering, Short Term Memory, Computation, Models, Context Effect
DOI: 10.1037/a0017113
ISSN: 0033-295X
Abstract: J. S. Bowers, M. F. Damian, and C. J. Davis (2009) critiqued the computational model of serial order memory put forth in M. Botvinick and D. C. Plaut (2006), purporting to show that the model does not generalize in a way that people do. They attributed this supposed failure to the model's dependence on context-dependent representations, translating this argument into a general critique of all parallel distributed processing models. The authors reply here, addressing both Bowers et al.'s criticisms of the Botvinick and Plaut model and the former's assessment of parallel distributed processing models in general. (Contains 2 footnotes and 1 figure.)
Abstractor: As Provided
Number of References: 17
Entry Date: 2009
Accession Number: EJ859941
Database: ERIC
Description
Abstract:J. S. Bowers, M. F. Damian, and C. J. Davis (2009) critiqued the computational model of serial order memory put forth in M. Botvinick and D. C. Plaut (2006), purporting to show that the model does not generalize in a way that people do. They attributed this supposed failure to the model's dependence on context-dependent representations, translating this argument into a general critique of all parallel distributed processing models. The authors reply here, addressing both Bowers et al.'s criticisms of the Botvinick and Plaut model and the former's assessment of parallel distributed processing models in general. (Contains 2 footnotes and 1 figure.)
ISSN:0033-295X
DOI:10.1037/a0017113