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dc.contributor.authorBartlett, Laura
dc.contributor.authorPirrone, Angelo
dc.contributor.authorJaved, Noman
dc.contributor.authorLane, Peter
dc.contributor.authorGobet, Fernand
dc.date.accessioned2023-11-20T16:45:02Z
dc.date.available2023-11-20T16:45:02Z
dc.date.issued2023-07-29
dc.identifier.citationBartlett , L , Pirrone , A , Javed , N , Lane , P & Gobet , F 2023 , Genetic Programming for Developing Simple Cognitive Models . in Proceedings of the 45th Annual Conference of the Cognitive Science Society . Proceedings of the Annual Meeting of the Cognitive Science Society , vol. 45 , Cognitive Science Society , Sydney, Australia , pp. 2833-2839 , 45th Annual Meeting of the Cognitive Science Society , Sidney , Australia , 26/07/23 . < https://escholarship.org/uc/item/08x8m02w >
dc.identifier.citationconference
dc.identifier.issn1069-7977
dc.identifier.urihttp://hdl.handle.net/2299/27181
dc.description©2023 The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY), https://creativecommons.org/licenses/by/4.0/
dc.description.abstractFrequently in psychology, simple tasks that are designed to tap a particular feature of cognition are used without considering the other mechanisms that might be at play. For example, the delayed-match-to-sample (DMTS) task is often used to examine short-term memory; however, a number of cognitive mechanisms interact to produce the observed behaviour, such as decision-making and attention processes. As these simple tasks form the basis of more complex psychological experiments and theories, it is critical to understand what strategies might be producing the recorded behaviour. The current paper uses the GEMS methodology, a system that generates models of cognition using genetic programming, and applies it to differing DMTS experimental conditions. We investigate the strategies that participants might be using, while looking at similarities and differences in strategy depending on task variations; in this case, changes to the interval between study and recall affected the strategies used by the generated models.en
dc.format.extent7
dc.format.extent404427
dc.language.isoeng
dc.publisherCognitive Science Society
dc.relation.ispartofProceedings of the 45th Annual Conference of the Cognitive Science Society
dc.relation.ispartofseriesProceedings of the Annual Meeting of the Cognitive Science Society
dc.titleGenetic Programming for Developing Simple Cognitive Modelsen
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionDepartment of Computer Science
dc.identifier.urlhttps://escholarship.org/uc/item/08x8m02w
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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