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The Assumption of Class-Conditional Independence in Category Learning

Jarecki, Jana and Meder, Björn and Nelson, Jonathan D.. (2013) The Assumption of Class-Conditional Independence in Category Learning. In: Proceedings of the 35th Annual Conference of the Cognitive Science Society. Austin, TX, pp. 2650-2655.

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Official URL: http://edoc.unibas.ch/57436/

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Abstract

This paper investigates the role of the assumption of class- conditional independence of object features in human classi- fication learning. This assumption holds that object feature values are statistically independent of each other, given knowl- edge of the object`s true category. Treating features as class- conditionally independent can in many situations substantially facilitate learning and categorization even if the assumption is not perfectly true. Using optimal experimental design princi- ples, we designed a task to test whether people have this de- fault assumption when learning to categorize. Results provide some supporting evidence, although the data are mixed. What is clear is that classification behavior adapts to the structure of the environment: a category structure that is unlearnable under the assumption of class-conditional independence is learned by all participants.
Faculties and Departments:07 Faculty of Psychology > Departement Psychologie > Forschungsbereich Sozial-, Wirtschafts- und Entscheidungspsychologie > Economic Psychology (Rieskamp)
UniBasel Contributors:Jarecki, Jana
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Publisher:Cognitive Science Society
ISBN:978-1-62993-081-7
Note:Publication type according to Uni Basel Research Database: Conference paper
Last Modified:15 Jan 2019 10:35
Deposited On:15 Jan 2019 10:35

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