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Why does higher working memory capacity help you learn?
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Lloyd, Kevin, Sanborn, Adam N., Leslie, David and Lewandowsky, Stephan (2017) Why does higher working memory capacity help you learn? In: CogSci 2017, London, 26-29 Jul 2017. Published in: CogSci 2017 Proceedings of the 39th Annual Meeting of the Cognitive Science Society London, UK, 26-29 July 2017 pp. 767-772. ISBN 9780991196760 .
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Official URL: https://mindmodeling.org/cogsci2017/cogsci17_proce...
Abstract
Algorithms for approximate Bayesian inference, such as
Monte Carlo methods, provide one source of models of how
people may deal with uncertainty in spite of limited cognitive
resources. Here, we model learning as a process of sequential
sampling, or ‘particle filtering’, and suggest that an individual’s
working memory capacity (WMC) may be usefully modelled
in terms of the number of samples, or ‘particles’, that are
available for inference. The model qualitatively captures two
distinct effects reported recently, namely that individuals with
higher WMC are better able to (i) learn novel categories, and
(ii) flexibly switch between different categorization strategies
| Item Type: | Conference Item (Paper) | ||||
|---|---|---|---|---|---|
| Subjects: | B Philosophy. Psychology. Religion > BF Psychology | ||||
| Divisions: | Faculty of Science > Psychology | ||||
| Library of Congress Subject Headings (LCSH): | Short-term memory, Bayesian statistical decision theory | ||||
| Journal or Publication Title: | CogSci 2017 Proceedings of the 39th Annual Meeting of the Cognitive Science Society London, UK, 26-29 July 2017 | ||||
| Publisher: | London Computational Foundations of Cognition | ||||
| ISBN: | 9780991196760 | ||||
| Official Date: | 11 April 2017 | ||||
| Dates: |
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| Page Range: | pp. 767-772 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Open Access | ||||
| Funder: | Gatsby Charitable Foundation (GCF), Engineering and Physical Sciences Research Council (EPSRC) | ||||
| Grant number: | EP/I032622/1 | ||||
| Conference Paper Type: | Paper | ||||
| Title of Event: | CogSci 2017 | ||||
| Type of Event: | Conference | ||||
| Location of Event: | London | ||||
| Date(s) of Event: | 26-29 Jul 2017 | ||||
| Related URLs: |
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