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A Formal Model for Adaptive Free Choice in Complex Systems
In this article, I develop a formal model of free will for complex systems based on emergent properties and adaptive selection. The model is based on a process ontology in which a free choice is a singular process that takes a system from one macrostate to another. I quantify the model by introducin...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517091/ https://www.ncbi.nlm.nih.gov/pubmed/33286340 http://dx.doi.org/10.3390/e22050568 |
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author | Durham, Ian |
author_facet | Durham, Ian |
author_sort | Durham, Ian |
collection | PubMed |
description | In this article, I develop a formal model of free will for complex systems based on emergent properties and adaptive selection. The model is based on a process ontology in which a free choice is a singular process that takes a system from one macrostate to another. I quantify the model by introducing a formal measure of the ‘freedom’ of a singular choice. The ‘free will’ of a system, then, is emergent from the aggregate freedom of the choice processes carried out by the system. The focus in this model is on the actual choices themselves viewed in the context of processes. That is, the nature of the system making the choices is not considered. Nevertheless, my model does not necessarily conflict with models that are based on internal properties of the system. Rather it takes a behavioral approach by focusing on the externalities of the choice process. |
format | Online Article Text |
id | pubmed-7517091 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75170912020-11-09 A Formal Model for Adaptive Free Choice in Complex Systems Durham, Ian Entropy (Basel) Article In this article, I develop a formal model of free will for complex systems based on emergent properties and adaptive selection. The model is based on a process ontology in which a free choice is a singular process that takes a system from one macrostate to another. I quantify the model by introducing a formal measure of the ‘freedom’ of a singular choice. The ‘free will’ of a system, then, is emergent from the aggregate freedom of the choice processes carried out by the system. The focus in this model is on the actual choices themselves viewed in the context of processes. That is, the nature of the system making the choices is not considered. Nevertheless, my model does not necessarily conflict with models that are based on internal properties of the system. Rather it takes a behavioral approach by focusing on the externalities of the choice process. MDPI 2020-05-19 /pmc/articles/PMC7517091/ /pubmed/33286340 http://dx.doi.org/10.3390/e22050568 Text en © 2020 by the author. 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 Durham, Ian A Formal Model for Adaptive Free Choice in Complex Systems |
title | A Formal Model for Adaptive Free Choice in Complex Systems |
title_full | A Formal Model for Adaptive Free Choice in Complex Systems |
title_fullStr | A Formal Model for Adaptive Free Choice in Complex Systems |
title_full_unstemmed | A Formal Model for Adaptive Free Choice in Complex Systems |
title_short | A Formal Model for Adaptive Free Choice in Complex Systems |
title_sort | formal model for adaptive free choice in complex systems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517091/ https://www.ncbi.nlm.nih.gov/pubmed/33286340 http://dx.doi.org/10.3390/e22050568 |
work_keys_str_mv | AT durhamian aformalmodelforadaptivefreechoiceincomplexsystems AT durhamian formalmodelforadaptivefreechoiceincomplexsystems |