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dc.contributor.authorTornqvist, Dominicus
dc.contributor.authorWen, Lian
dc.contributor.authorTichon, Jennifer
dc.date.accessioned2021-11-22T03:49:05Z
dc.date.available2021-11-22T03:49:05Z
dc.date.issued2021
dc.identifier.issn2169-3536
dc.identifier.doi10.1109/access.2021.3127154
dc.identifier.urihttp://hdl.handle.net/10072/410290
dc.description.abstractCognitive research has found people are sometimes adept and sometimes inept at handling complexity. Complexity is a key concept in much of cognitive science, yet the field has scarcely incorporated any of the work in complexity theory. Complexity theory may generally be too abstract to easily apply to human cognition studies. Here, the problem is addressed by considering complexity through constructing a model of epistemic emergence, Cognitive-Habitat Strategy-Ecosystem, (CHSE) to act as an overarching framework into which different conceptions of complexity and cognition can be integrated, describing how they will interact to affect cognition in complex systems. This model provides value both at the micro level, by generating specific predictions, and at the macro level, through hypothesizing interactions between other cognitive theories such as cognitive load and adaptation from failure. We detail the model’s assumptions, functionality, and possible ways to measure variables.
dc.description.peerreviewedYes
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofjournalIEEE Access
dc.subject.fieldofresearchCognitive and computational psychology
dc.subject.fieldofresearchcode5204
dc.titleCognitive Habitat, Strategy Ecosystem: A Predictive Model of Emergence for Cognitive and Computer Science
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationTornqvist, D; Wen, L; Tichon, J, Cognitive Habitat, Strategy Ecosystem: A Predictive Model of Emergence for Cognitive and Computer Science, IEEE Access, 2021
dcterms.licensehttps://creativecommons.org/licenses/by/4.0/
dc.date.updated2021-11-17T06:40:34Z
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© The Author(s) 2021. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
gro.hasfulltextFull Text
gro.griffith.authorWen, Larry
gro.griffith.authorTornqvist, Dominicus P.


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