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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.
Afiliação
  • Albantakis L; Department of Psychiatry, University of Wisconsin, Madison, Wisconsin, United States of America.
  • Barbosa L; Department of Psychiatry, University of Wisconsin, Madison, Wisconsin, United States of America.
  • Findlay G; Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, Virginia, United States of America.
  • Grasso M; Department of Psychiatry, University of Wisconsin, Madison, Wisconsin, United States of America.
  • Haun AM; Neuroscience Training Program, University of Wisconsin, Madison, Wisconsin, United States of America.
  • Marshall W; Department of Psychiatry, University of Wisconsin, Madison, Wisconsin, United States of America.
  • Mayner WGP; Department of Psychiatry, University of Wisconsin, Madison, Wisconsin, United States of America.
  • Zaeemzadeh A; Department of Psychiatry, University of Wisconsin, Madison, Wisconsin, United States of America.
  • Boly M; Department of Mathematics and Statistics, Brock University, St. Catharines, Ontario, Canada.
  • Juel BE; Department of Psychiatry, University of Wisconsin, Madison, Wisconsin, United States of America.
  • Sasai S; Neuroscience Training Program, University of Wisconsin, Madison, Wisconsin, United States of America.
  • Fujii K; Department of Psychiatry, University of Wisconsin, Madison, Wisconsin, United States of America.
  • David I; Department of Psychiatry, University of Wisconsin, Madison, Wisconsin, United States of America.
  • Hendren J; Department of Neurology, University of Wisconsin, Madison, Wisconsin, United States of America.
  • Lang JP; Department of Psychiatry, University of Wisconsin, Madison, Wisconsin, United States of America.
  • Tononi G; Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
PLoS Comput Biol ; 19(10): e1011465, 2023 10.
Article em En | MEDLINE | ID: mdl-37847724
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Teoria da Informação Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Teoria da Informação Idioma: En Ano de publicação: 2023 Tipo de documento: Article