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Analogical transfer in perceptual categorization
Authors:Michael?B.?Casale  author-information"  >  author-information__contact u-icon-before"  >  mailto:mbcasale@gmail.com"   title="  mbcasale@gmail.com"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author,Jessica?L.?Roeder,F.?Gregory?Ashby
Affiliation:(1) Department of Psychology, University of California, 9500 Gilman Drive #0109, La Jolla, San Diego, CA 92093-0109, USA;(2) University of California, Santa Barbara, CA, USA
Abstract:Analogical transfer is the ability to transfer knowledge despite significant changes in the surface features of a problem. In categorization, analogical transfer occurs if a classification strategy learned with one set of stimuli can be transferred to a set of novel, perceptually distinct stimuli. Three experiments investigated analogical transfer in rule-based and information-integration categorization tasks. In rule-based tasks, the optimal strategy is easy to describe verbally, whereas in information-integration tasks, accuracy is maximized only if information from two or more stimulus dimensions is integrated in a way that is difficult or impossible to describe verbally. In all three experiments, analogical transfer was nearly perfect in the rule-based conditions, but no evidence for analogical transfer was found in the information-integration conditions. These results were predicted a priori by the COVIS theory of categorization.
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