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Integrated information theory (IIT) 4.0: Formulating the properties of phenomenal existence in physical terms
This paper presents Integrated Information Theory (IIT) 4.0. IIT aims to account for the properties of experience in physical (operational) terms. It identifies the essential properties of experience (axioms), infers the necessary and sufficient properties that its substrate must satisfy (postulates...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10581496/ https://www.ncbi.nlm.nih.gov/pubmed/37847724 http://dx.doi.org/10.1371/journal.pcbi.1011465 |
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author | Albantakis, Larissa Barbosa, Leonardo Findlay, Graham Grasso, Matteo Haun, Andrew M. Marshall, William Mayner, William G. P. Zaeemzadeh, Alireza Boly, Melanie Juel, Bjørn E. Sasai, Shuntaro Fujii, Keiko David, Isaac Hendren, Jeremiah Lang, Jonathan P. Tononi, Giulio |
author_facet | Albantakis, Larissa Barbosa, Leonardo Findlay, Graham Grasso, Matteo Haun, Andrew M. Marshall, William Mayner, William G. P. Zaeemzadeh, Alireza Boly, Melanie Juel, Bjørn E. Sasai, Shuntaro Fujii, Keiko David, Isaac Hendren, Jeremiah Lang, Jonathan P. Tononi, Giulio |
author_sort | Albantakis, Larissa |
collection | PubMed |
description | This paper presents Integrated Information Theory (IIT) 4.0. IIT aims to account for the properties of experience in physical (operational) terms. It identifies the essential properties of experience (axioms), infers the necessary and sufficient properties that its substrate must satisfy (postulates), and expresses them in mathematical terms. In principle, the postulates can be applied to any system of units in a state to determine whether it is conscious, to what degree, and in what way. IIT offers a parsimonious explanation of empirical evidence, makes testable predictions concerning both the presence and the quality of experience, and permits inferences and extrapolations. IIT 4.0 incorporates several developments of the past ten years, including a more accurate formulation of the axioms as postulates and mathematical expressions, the introduction of a unique measure of intrinsic information that is consistent with the postulates, and an explicit assessment of causal relations. By fully unfolding a system’s irreducible cause–effect power, the distinctions and relations specified by a substrate can account for the quality of experience. |
format | Online Article Text |
id | pubmed-10581496 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-105814962023-10-18 Integrated information theory (IIT) 4.0: Formulating the properties of phenomenal existence in physical terms Albantakis, Larissa Barbosa, Leonardo Findlay, Graham Grasso, Matteo Haun, Andrew M. Marshall, William Mayner, William G. P. Zaeemzadeh, Alireza Boly, Melanie Juel, Bjørn E. Sasai, Shuntaro Fujii, Keiko David, Isaac Hendren, Jeremiah Lang, Jonathan P. Tononi, Giulio PLoS Comput Biol Research Article This paper presents Integrated Information Theory (IIT) 4.0. IIT aims to account for the properties of experience in physical (operational) terms. It identifies the essential properties of experience (axioms), infers the necessary and sufficient properties that its substrate must satisfy (postulates), and expresses them in mathematical terms. In principle, the postulates can be applied to any system of units in a state to determine whether it is conscious, to what degree, and in what way. IIT offers a parsimonious explanation of empirical evidence, makes testable predictions concerning both the presence and the quality of experience, and permits inferences and extrapolations. IIT 4.0 incorporates several developments of the past ten years, including a more accurate formulation of the axioms as postulates and mathematical expressions, the introduction of a unique measure of intrinsic information that is consistent with the postulates, and an explicit assessment of causal relations. By fully unfolding a system’s irreducible cause–effect power, the distinctions and relations specified by a substrate can account for the quality of experience. Public Library of Science 2023-10-17 /pmc/articles/PMC10581496/ /pubmed/37847724 http://dx.doi.org/10.1371/journal.pcbi.1011465 Text en © 2023 Albantakis et al 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 use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Albantakis, Larissa Barbosa, Leonardo Findlay, Graham Grasso, Matteo Haun, Andrew M. Marshall, William Mayner, William G. P. Zaeemzadeh, Alireza Boly, Melanie Juel, Bjørn E. Sasai, Shuntaro Fujii, Keiko David, Isaac Hendren, Jeremiah Lang, Jonathan P. Tononi, Giulio Integrated information theory (IIT) 4.0: Formulating the properties of phenomenal existence in physical terms |
title | Integrated information theory (IIT) 4.0: Formulating the properties of phenomenal existence in physical terms |
title_full | Integrated information theory (IIT) 4.0: Formulating the properties of phenomenal existence in physical terms |
title_fullStr | Integrated information theory (IIT) 4.0: Formulating the properties of phenomenal existence in physical terms |
title_full_unstemmed | Integrated information theory (IIT) 4.0: Formulating the properties of phenomenal existence in physical terms |
title_short | Integrated information theory (IIT) 4.0: Formulating the properties of phenomenal existence in physical terms |
title_sort | integrated information theory (iit) 4.0: formulating the properties of phenomenal existence in physical terms |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10581496/ https://www.ncbi.nlm.nih.gov/pubmed/37847724 http://dx.doi.org/10.1371/journal.pcbi.1011465 |
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