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

Heit, Evan and Briggs, Janet and 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. (The full text of this publication is not available from this repository)

The full text of this publication is not available from this repository. (Contact us about this Publication)
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
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Divisions: Faculties > Social Sciences > School of Psychology
Depositing User: Ros Beeching
Date Deposited: 24 Sep 2008 11:14
Last Modified: 29 Apr 2014 11:20
Resource URI: http://kar.kent.ac.uk/id/eprint/4330 (The current URI for this page, for reference purposes)
  • Depositors only (login required):