Cognitive Habitat, Strategy Ecosystem: A Predictive Model of Emergence for Cognitive and Computer Science

Cognitive 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...

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Autores principales:	Dominicus Tornqvist, Lian Wen, Jennifer Tichon
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Adaptation biodiversity cognition cognitive load complexity emergence Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/7a1bab87d6164e1faadef4da936eb812
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id	oai:doaj.org-article:7a1bab87d6164e1faadef4da936eb812
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spelling	oai:doaj.org-article:7a1bab87d6164e1faadef4da936eb8122021-11-24T00:01:53ZCognitive Habitat, Strategy Ecosystem: A Predictive Model of Emergence for Cognitive and Computer Science2169-353610.1109/ACCESS.2021.3127154https://doaj.org/article/7a1bab87d6164e1faadef4da936eb8122021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9611294/https://doaj.org/toc/2169-3536Cognitive 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.Dominicus TornqvistLian WenJennifer TichonIEEEarticleAdaptationbiodiversitycognitioncognitive loadcomplexityemergenceElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 154022-154043 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Adaptation biodiversity cognition cognitive load complexity emergence Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Adaptation biodiversity cognition cognitive load complexity emergence Electrical engineering. Electronics. Nuclear engineering TK1-9971 Dominicus Tornqvist Lian Wen Jennifer Tichon Cognitive Habitat, Strategy Ecosystem: A Predictive Model of Emergence for Cognitive and Computer Science
description	Cognitive 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.
format	article
author	Dominicus Tornqvist Lian Wen Jennifer Tichon
author_facet	Dominicus Tornqvist Lian Wen Jennifer Tichon
author_sort	Dominicus Tornqvist
title	Cognitive Habitat, Strategy Ecosystem: A Predictive Model of Emergence for Cognitive and Computer Science
title_short	Cognitive Habitat, Strategy Ecosystem: A Predictive Model of Emergence for Cognitive and Computer Science
title_full	Cognitive Habitat, Strategy Ecosystem: A Predictive Model of Emergence for Cognitive and Computer Science
title_fullStr	Cognitive Habitat, Strategy Ecosystem: A Predictive Model of Emergence for Cognitive and Computer Science
title_full_unstemmed	Cognitive Habitat, Strategy Ecosystem: A Predictive Model of Emergence for Cognitive and Computer Science
title_sort	cognitive habitat, strategy ecosystem: a predictive model of emergence for cognitive and computer science
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/7a1bab87d6164e1faadef4da936eb812
work_keys_str_mv	AT dominicustornqvist cognitivehabitatstrategyecosystemapredictivemodelofemergenceforcognitiveandcomputerscience AT lianwen cognitivehabitatstrategyecosystemapredictivemodelofemergenceforcognitiveandcomputerscience AT jennifertichon cognitivehabitatstrategyecosystemapredictivemodelofemergenceforcognitiveandcomputerscience
_version_	1718416100896538624

Cognitive Habitat, Strategy Ecosystem: A Predictive Model of Emergence for Cognitive and Computer Science

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