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ERIC Number: EJ820980
Record Type: Journal
Publication Date: 2008-Dec
Pages: 19
Abstractor: As Provided
Reference Count: 32
ISSN: ISSN-0364-0213
Measuring Model Flexibility with Parameter Space Partitioning: An Introduction and Application Example
Pitt, Mark A.; Myung, Jay I.; Montenegro, Maximiliano; Pooley, James
Cognitive Science, v32 n8 p1285-1303 Dec 2008
A primary criterion on which models of cognition are evaluated is their ability to fit empirical data. To understand the reason why a model yields a good or poor fit, it is necessary to determine the data-fitting potential (i.e., flexibility) of the model. In the first part of this article, methods for comparing models and studying their flexibility are reviewed, with a focus on parameter space partitioning (PSP), a general-purpose method for analyzing and comparing all classes of cognitive models. PSP is then demonstrated in the second part of the article in which two connectionist models of speech perception (TRACE and ARTphone) are compared to learn how design differences affect model flexibility. (Contains 1 table, 4 figures and 2 notes.)
Psychology Press. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site:
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A