How causal knowledge affects classification: A generative theory of categorization

How causal knowledge affects classification: A generative theory of categorization (2006)

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by Bob Rehder , Shinwoo Kim

Venue:	Journal of Experimental Psychology: Learning, Memory, and Cognition
Citations:	9 - 4 self

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Datum	Value	Source
TITLE	How causal knowledge affects classification: A generative theory of categorization	INFERENCE
AUTHOR NAME	Bob Rehder	SVM HeaderParse 0.2
AUTHOR AFFIL	Correspondence concerning this article should be addressed to Bob	SVM HeaderParse 0.2
AUTHOR ADDR	Rehder, Department of Psychology, 6 Washington Place, New York, NY	SVM HeaderParse 0.2
AUTHOR NAME	Shinwoo Kim	SVM HeaderParse 0.2
AUTHOR AFFIL	Correspondence concerning this article should be addressed to Bob	SVM HeaderParse 0.2
AUTHOR ADDR	Rehder, Department of Psychology, 6 Washington Place, New York, NY	SVM HeaderParse 0.2
ABSTRACT	Several theories have been proposed regarding how causal relations among features of objects affect how those objects are classified. The assumptions of these theories were tested in 3 experiments that manipulated the causal knowledge associated with novel categories. There were 3 results. The 1st was a multiple cause effect in which a feature’s importance increases with its number of causes. The 2nd was a coherence effect in which good category members are those whose features jointly corroborate the category’s causal knowledge. These 2 effects can be accounted for by assuming that good category members are those likely to be generated by a category’s causal laws. The 3rd result was a primary cause effect, in which primary causes are more important to category membership. This effect can also be explained by a generative account with an additional assumption: that categories often are perceived to have hidden generative causes.	SVM HeaderParse 0.2
YEAR	2006	INFERENCE
VENUE	Journal of Experimental Psychology: Learning, Memory, and Cognition	INFERENCE
VENUE TYPE	JOURNAL	INFERENCE
PAGES	659--683	INFERENCE
CITATIONS	37 found	ParsCit 1.0