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Informational Structures and Informational Fields as a Prototype for the Description of Postulates of the Integrated Information Theory
Informational Structures (IS) and Informational Fields (IF) have been recently introduced to deal with a continuous dynamical systems-based approach to Integrated Information Theory (IIT). IS and IF contain all the geometrical and topological constraints in the phase space. This allows one to charac...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514983/ https://www.ncbi.nlm.nih.gov/pubmed/33267207 http://dx.doi.org/10.3390/e21050493 |
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author | Kalita, Piotr Langa, José A. Soler-Toscano, Fernando |
author_facet | Kalita, Piotr Langa, José A. Soler-Toscano, Fernando |
author_sort | Kalita, Piotr |
collection | PubMed |
description | Informational Structures (IS) and Informational Fields (IF) have been recently introduced to deal with a continuous dynamical systems-based approach to Integrated Information Theory (IIT). IS and IF contain all the geometrical and topological constraints in the phase space. This allows one to characterize all the past and future dynamical scenarios for a system in any particular state. In this paper, we develop further steps in this direction, describing a proper continuous framework for an abstract formulation, which could serve as a prototype of the IIT postulates. |
format | Online Article Text |
id | pubmed-7514983 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75149832020-11-09 Informational Structures and Informational Fields as a Prototype for the Description of Postulates of the Integrated Information Theory Kalita, Piotr Langa, José A. Soler-Toscano, Fernando Entropy (Basel) Article Informational Structures (IS) and Informational Fields (IF) have been recently introduced to deal with a continuous dynamical systems-based approach to Integrated Information Theory (IIT). IS and IF contain all the geometrical and topological constraints in the phase space. This allows one to characterize all the past and future dynamical scenarios for a system in any particular state. In this paper, we develop further steps in this direction, describing a proper continuous framework for an abstract formulation, which could serve as a prototype of the IIT postulates. MDPI 2019-05-14 /pmc/articles/PMC7514983/ /pubmed/33267207 http://dx.doi.org/10.3390/e21050493 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kalita, Piotr Langa, José A. Soler-Toscano, Fernando Informational Structures and Informational Fields as a Prototype for the Description of Postulates of the Integrated Information Theory |
title | Informational Structures and Informational Fields as a Prototype for the Description of Postulates of the Integrated Information Theory |
title_full | Informational Structures and Informational Fields as a Prototype for the Description of Postulates of the Integrated Information Theory |
title_fullStr | Informational Structures and Informational Fields as a Prototype for the Description of Postulates of the Integrated Information Theory |
title_full_unstemmed | Informational Structures and Informational Fields as a Prototype for the Description of Postulates of the Integrated Information Theory |
title_short | Informational Structures and Informational Fields as a Prototype for the Description of Postulates of the Integrated Information Theory |
title_sort | informational structures and informational fields as a prototype for the description of postulates of the integrated information theory |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514983/ https://www.ncbi.nlm.nih.gov/pubmed/33267207 http://dx.doi.org/10.3390/e21050493 |
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