An Extension Of Combinatorial Contextuality For Cognitive Protocols
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Description
This article extends the combinatorial approach to support the determination of contextuality amidst causal influences. Contextuality is an active field of study in Quantum Cognition, in systems relating to mental phenomena, such as concepts in human memory. In the cognitive field of study, a contemporary challenge facing the determination of whether a phenomenon is contextual has been the identification and management of disturbances. Whether or not said disturbances are identified through the modeling approach, constitute causal influences, or are disregardableas as noise is important, as contextuality cannot be adequately determined in the presence of causal influences. To address this challenge, we first provide a formalization of necessary elements of the combinatorial approach within the language of canonical causal models. Through this formalization, we extend the combinatorial approach to support a measurement and treatment of disturbance, and offer techniques to separately distinguish noise and causal influences. Thereafter, we develop a protocol through which these elements may be represented within a cognitive experiment. As human cognition seems rife with causal influences, cognitive modelers may apply the extended combinatorial approach to practically determine the contextuality of cognitive phenomena.
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ID Code: | 233091 | ||||||||||
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Item Type: | Contribution to Journal (Journal Article) | ||||||||||
Refereed: | Yes | ||||||||||
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Additional Information: | Funding: This research has been partially funded by the Unitary Fund, and the Asian Office of Aerospace Research and Development (AOARD) Grant: FA2386-17-1-4016. | ||||||||||
Measurements or Duration: | 17 pages | ||||||||||
Keywords: | causality, cognition, combinatorics, contextuality, disturbance | ||||||||||
DOI: | 10.3389/fpsyg.2022.871028 | ||||||||||
ISSN: | 1664-1078 | ||||||||||
Pure ID: | 111984712 | ||||||||||
Divisions: | Current > Research Centres > Centre for the Environment Current > Research Centres > Digital Media Research Centre Current > QUT Faculties and Divisions > Faculty of Science Current > Schools > School of Information Systems Current > QUT Faculties and Divisions > Faculty of Creative Industries, Education & Social Justice Current > Schools > School of Communication |
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Funding Information: | This research has been partially funded by the Unitary Fund, and the Asian Office of Aerospace Research and Development (AOARD) Grant: FA2386-17-1-4016. | ||||||||||
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Copyright Owner: | 2022 The Authors | ||||||||||
Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||||||||||
Deposited On: | 29 Jun 2022 23:26 | ||||||||||
Last Modified: | 01 Mar 2024 01:43 |
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