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When parameters collide: a warning about categorization models.

When parameters collide: a warning about categorization models. Research Abstract Details 

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  • When parameters collide: a warning about categorization models. Abstract Text:

    j david smithJ David Smith,j david smithJ David Smith,

    Similarity-choice (S-C) models of categorization contain two principal mathematical transformations: an exponential-decay similarity function and a choice rule. However, there is a tension between the psychological processes that models emulate and the mathematics they use to do so. To illustrate this, I show that in these models an unappreciated interaction occurs between the mathematical transformations so that the stages of the model essentially cancel each other out. The result is that the model's output reflects its input linearly. This cancellation phenomenon has potentially serious implications regarding the interpretation and use of S-C models. The phenomenon also raises questions about the simplification and psychological grounding of categorization models. Modelers broadly might benefit from an internal analysis of their models, such as that described here.

    When parameters collide: a warning about categorization models. Publishing Authors By Initials

    jd smithJD Smith,jd smithJD Smith,

    For similar psychological phenomena and processes: psychological theory research abstracts see: psychological phenomena and processes: psychological theory research

    PUBMED ID PMID:

    MEDLINE DATE:

    When parameters collide: a warning about categorization models. Journal Published:

    PUBLICATION TYPE: Research Support, N.I.H., Extr

    Journal: Psychonomic bulletin & review

    VOLUME: 13

    Page Numbers: 743-51

    Journal Abbreviation:

    ISSN: 1069-9384

    DAY: 3

    MONTH: Oct

    YEAR: 2006

    When parameters collide: a warning about categorization models. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 9502924

    When parameters collide: a warning about categorization models. Keywords Mesh Terms:

    KEYWORDS: Psychological Theory

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    Grant and Affiliation Information for When parameters collide: a warning about categorization models.

    AFFILIATION: Department of Psychology, State University of New York, Buffalo, New York 14260, USA. psysmith@buffalo.edu

    Country: United States

    United States Research PublicationUnited States Research Publication

    AGENCY: United States NICHD

    GRANT: HD-38051

    ACRONYM: HD

    MEDLINETA: Psychon Bull Rev

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    Number Hits: 0

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