Year: 2007
Type: article
Abstract: The majority of experimental research on human concept learning has relied on the supervised classification task. Recently it has been argued that a complete understanding of concept learning requires expanding laboratory techniques to account for other uses of categories. Yamauchi and Markman (1998) examined the relationship between the use of categories and their representation by contrasting traditional supervised classification learning and inference learning. Participants learned about a 4-dimensional family resemblance category structure by either classifying items into 2 categories or by making inferences about missing features with the items’ category label present. The learning phase continued until participants reached an accuracy criterion. In a subsequent test phase all participants made inferences
Authors: Bob Colner, Aaron B. Hoffman, Bob Rehder
Language: English
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2586825948