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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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9611294/ |
| _version_ | 1818435642426654720 |
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| author | Dominicus Tornqvist Lian Wen Jennifer Tichon |
| author_facet | Dominicus Tornqvist Lian Wen Jennifer Tichon |
| author_sort | Dominicus Tornqvist |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-14T16:56:08Z |
| format | Article |
| id | doaj.art-7a1bab87d6164e1faadef4da936eb812 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T16:56:08Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-7a1bab87d6164e1faadef4da936eb8122022-12-21T22:53:57ZengIEEEIEEE Access2169-35362021-01-01915402215404310.1109/ACCESS.2021.31271549611294Cognitive Habitat, Strategy Ecosystem: A Predictive Model of Emergence for Cognitive and Computer ScienceDominicus Tornqvist0https://orcid.org/0000-0001-6408-3149Lian Wen1https://orcid.org/0000-0002-2840-6884Jennifer Tichon2School of Information and Communication Technology, Griffith University, Nathan, QLD, AustraliaSchool of Information and Communication Technology, Griffith University, Nathan, QLD, AustraliaBurgess-Limerick & Associates Human Factors & Ergonomics Consultants, Brisbane, QLD, AustraliaCognitive 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.https://ieeexplore.ieee.org/document/9611294/Adaptationbiodiversitycognitioncognitive loadcomplexityemergence |
| spellingShingle | Dominicus Tornqvist Lian Wen Jennifer Tichon Cognitive Habitat, Strategy Ecosystem: A Predictive Model of Emergence for Cognitive and Computer Science IEEE Access Adaptation biodiversity cognition cognitive load complexity emergence |
| title | 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_short | 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 |
| topic | Adaptation biodiversity cognition cognitive load complexity emergence |
| url | https://ieeexplore.ieee.org/document/9611294/ |
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