C.E.R Edmunds
Memory for exemplars in category learning
Edmunds, C.E.R; Wills, A.J; Milton, F.N
Authors
A.J Wills
F.N Milton
Abstract
Some argue that category learning is mediated by two competing learning systems: one explicit, one implicit (Ashby et al., 1998). These systems are hypothesised to be responsible for learning rule-based and information-integration category structures respectively. However, little experimental work has directly investigated whether people are conscious of category knowledge supposedly learned by the implicit system. Here we report one experiment that directly compared explicit recognition memory for exemplars between these two category structures. Contrary to the predictions of the dual-systems approach, we found preliminary evidence of superior exemplar memory after information-integration category learning compared to rule-based learning. This result is consistent with the hypothesis that participants learn information-integration category structures by using complex rules.
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | Annual Meeting of the Cognitive Science Society |
Publication Date | 2016 |
Deposit Date | Feb 20, 2025 |
Journal | Proceedings of the Annual Meeting of the Cognitive Science Society |
Peer Reviewed | Peer Reviewed |
Volume | 38 |
Pages | 2243-2248 |
Book Title | Proceedings of the Annual Meeting of the Cognitive Science Society |
Keywords | category learning, memory, dual-systems, recognition |
Public URL | https://uwe-repository.worktribe.com/output/13780861 |
Publisher URL | https://escholarship.org/uc/item/4fs1p8tq |
You might also like
Modelling category learning using a dual-system approach: A simulation of Shepard, Hovland and Jenkins (1961) by COVIS
(2016)
Presentation / Conference Contribution
Due process in dual process: A model-recovery analysis of Smith et al. (2014)
(2017)
Presentation / Conference Contribution
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search