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Integrated information theory (IIT) 4.0: Formulating the properties of phenomenal existence in physical terms.

Authors :
Larissa Albantakis
Leonardo Barbosa
Graham Findlay
Matteo Grasso
Andrew M Haun
William Marshall
William G P Mayner
Alireza Zaeemzadeh
Melanie Boly
Bjørn E Juel
Shuntaro Sasai
Keiko Fujii
Isaac David
Jeremiah Hendren
Jonathan P Lang
Giulio Tononi
Source :
PLoS Computational Biology, Vol 19, Iss 10, p e1011465 (2023)
Publication Year :
2023
Publisher :
Public Library of Science (PLoS), 2023.

Abstract

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.

Subjects

Subjects :
Biology (General)
QH301-705.5

Details

Language :
English
ISSN :
1553734X and 15537358
Volume :
19
Issue :
10
Database :
Directory of Open Access Journals
Journal :
PLoS Computational Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.70066a606554addbfaabd07967b8c0a
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pcbi.1011465&type=printable