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The Fundamental Nature of Motives

Decision-making is described as a natural process, one among others, consuming free energy in the least time. The thermodynamic tenet explains why data associated with decisions display the same patterns as any other data: skewed distributions, sigmoidal cumulative curves, oscillations, and even cha...

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Detalles Bibliográficos
Autor principal: Annila, Arto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832875/
https://www.ncbi.nlm.nih.gov/pubmed/35153668
http://dx.doi.org/10.3389/fnins.2022.806160
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author Annila, Arto
author_facet Annila, Arto
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description Decision-making is described as a natural process, one among others, consuming free energy in the least time. The thermodynamic tenet explains why data associated with decisions display the same patterns as any other data: skewed distributions, sigmoidal cumulative curves, oscillations, and even chaos. Moreover, it is shown that decision-making is intrinsically an intractable process because everything depends on everything else. However, no decision is arbitrary but bounded by free energy, such as resources and propellants, and restricted by mechanisms like molecular, neural, and social networks. The least-time maximation of entropy, equivalent to the minimization of free energy, parallels the optimization of subjective expected utility. As the system attains a state of balance, all driving forces vanish. Then there is no need or use to make further decisions. In general, the thermodynamic theory regards those decisions well-motivated that take into account forces, i.e., causes comprehensively in projecting motions, i.e., consequences.
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spelling pubmed-88328752022-02-12 The Fundamental Nature of Motives Annila, Arto Front Neurosci Neuroscience Decision-making is described as a natural process, one among others, consuming free energy in the least time. The thermodynamic tenet explains why data associated with decisions display the same patterns as any other data: skewed distributions, sigmoidal cumulative curves, oscillations, and even chaos. Moreover, it is shown that decision-making is intrinsically an intractable process because everything depends on everything else. However, no decision is arbitrary but bounded by free energy, such as resources and propellants, and restricted by mechanisms like molecular, neural, and social networks. The least-time maximation of entropy, equivalent to the minimization of free energy, parallels the optimization of subjective expected utility. As the system attains a state of balance, all driving forces vanish. Then there is no need or use to make further decisions. In general, the thermodynamic theory regards those decisions well-motivated that take into account forces, i.e., causes comprehensively in projecting motions, i.e., consequences. Frontiers Media S.A. 2022-01-28 /pmc/articles/PMC8832875/ /pubmed/35153668 http://dx.doi.org/10.3389/fnins.2022.806160 Text en Copyright © 2022 Annila. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Annila, Arto
The Fundamental Nature of Motives
title The Fundamental Nature of Motives
title_full The Fundamental Nature of Motives
title_fullStr The Fundamental Nature of Motives
title_full_unstemmed The Fundamental Nature of Motives
title_short The Fundamental Nature of Motives
title_sort fundamental nature of motives
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832875/
https://www.ncbi.nlm.nih.gov/pubmed/35153668
http://dx.doi.org/10.3389/fnins.2022.806160
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