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On the non-uniqueness problem in integrated information theory

Integrated Information Theory (IIT) 3.0 is among the leading theories of consciousness in contemporary neuroscience. The core of the theory relies on the calculation of a scalar mathematical measure of consciousness, Φ, which is inspired by the phenomenological axioms of the theory. Here, we show th...

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Detalles Bibliográficos
Autores principales: Hanson, Jake R, Walker, Sara I
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10408361/
https://www.ncbi.nlm.nih.gov/pubmed/37560334
http://dx.doi.org/10.1093/nc/niad014
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author Hanson, Jake R
Walker, Sara I
author_facet Hanson, Jake R
Walker, Sara I
author_sort Hanson, Jake R
collection PubMed
description Integrated Information Theory (IIT) 3.0 is among the leading theories of consciousness in contemporary neuroscience. The core of the theory relies on the calculation of a scalar mathematical measure of consciousness, Φ, which is inspired by the phenomenological axioms of the theory. Here, we show that despite its widespread application, Φ is not a well-defined mathematical concept in the sense that the value it specifies is non-unique. To demonstrate this, we introduce an algorithm that calculates all possible Φ values for a given system in strict accordance with the mathematical definition from the theory. We show that, to date, all published Φ values under consideration are selected arbitrarily from a multitude of equally valid alternatives. Crucially, both [Formula: see text] and [Formula: see text] are often predicted simultaneously, rendering any interpretation of these systems as conscious or not, non-decidable in the current formulation of IIT.
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spelling pubmed-104083612023-08-09 On the non-uniqueness problem in integrated information theory Hanson, Jake R Walker, Sara I Neurosci Conscious Research Article Integrated Information Theory (IIT) 3.0 is among the leading theories of consciousness in contemporary neuroscience. The core of the theory relies on the calculation of a scalar mathematical measure of consciousness, Φ, which is inspired by the phenomenological axioms of the theory. Here, we show that despite its widespread application, Φ is not a well-defined mathematical concept in the sense that the value it specifies is non-unique. To demonstrate this, we introduce an algorithm that calculates all possible Φ values for a given system in strict accordance with the mathematical definition from the theory. We show that, to date, all published Φ values under consideration are selected arbitrarily from a multitude of equally valid alternatives. Crucially, both [Formula: see text] and [Formula: see text] are often predicted simultaneously, rendering any interpretation of these systems as conscious or not, non-decidable in the current formulation of IIT. Oxford University Press 2023-06-24 /pmc/articles/PMC10408361/ /pubmed/37560334 http://dx.doi.org/10.1093/nc/niad014 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Hanson, Jake R
Walker, Sara I
On the non-uniqueness problem in integrated information theory
title On the non-uniqueness problem in integrated information theory
title_full On the non-uniqueness problem in integrated information theory
title_fullStr On the non-uniqueness problem in integrated information theory
title_full_unstemmed On the non-uniqueness problem in integrated information theory
title_short On the non-uniqueness problem in integrated information theory
title_sort on the non-uniqueness problem in integrated information theory
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10408361/
https://www.ncbi.nlm.nih.gov/pubmed/37560334
http://dx.doi.org/10.1093/nc/niad014
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