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Modeling the effects of prior knowledge on learning incongruent features of category members.

Heit, Evan, Briggs, Janet, Bott, Lewis (2004) Modeling the effects of prior knowledge on learning incongruent features of category members. Journal of Experimental Psychology: Learning, Memory, and Cognition, 30 (5). pp. 1065-1081. ISSN 0278-7393. (doi:10.1037/0278-7393.30.5.1065) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:4330)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1037/0278-7393.30.5.1065

Abstract

The authors conducted 3 experiments addressing the issue of how observations and multiple sources of prior knowledge are put together in category learning. In Experiments 1 and 2, learning was faster for critical features, which were predictable on the basis of prior knowledge, than for filler features, and this advantage increased as more observations were made. In addition, learning was fastest for incongruent features that could only be predicted using knowledge from other domains. In Experiment 3, presenting contradictory features that violated prior knowledge led to rote learning rather than use of prior knowledge. The results were simulated with the Baywatch model, which addresses how observations of category members lead to recruitment and selection of sources of prior knowledge.

Item Type: Article
DOI/Identification number: 10.1037/0278-7393.30.5.1065
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Divisions: Divisions > Division of Human and Social Sciences > School of Psychology
Depositing User: Rosalind Beeching
Date Deposited: 24 Sep 2008 11:14 UTC
Last Modified: 16 Nov 2021 09:42 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/4330 (The current URI for this page, for reference purposes)

University of Kent Author Information

Briggs, Janet.

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