Emotional valence and the free-energy principle.

The free-energy principle has recently been proposed as a unified Bayesian account of perception, learning and action. Despite the inextricable link between emotion and cognition, emotion has not yet been formulated under this framework. A core concept that permeates many perspectives on emotion is...

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Main Authors: Mateus Joffily, Giorgio Coricelli
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS Computational Biology
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23785269/?tool=EBI
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spelling doaj-67154516ea01405dbbb371d7f6c452fe2021-04-21T15:09:23ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582013-01-0196e100309410.1371/journal.pcbi.1003094Emotional valence and the free-energy principle.Mateus JoffilyGiorgio CoricelliThe free-energy principle has recently been proposed as a unified Bayesian account of perception, learning and action. Despite the inextricable link between emotion and cognition, emotion has not yet been formulated under this framework. A core concept that permeates many perspectives on emotion is valence, which broadly refers to the positive and negative character of emotion or some of its aspects. In the present paper, we propose a definition of emotional valence in terms of the negative rate of change of free-energy over time. If the second time-derivative of free-energy is taken into account, the dynamics of basic forms of emotion such as happiness, unhappiness, hope, fear, disappointment and relief can be explained. In this formulation, an important function of emotional valence turns out to regulate the learning rate of the causes of sensory inputs. When sensations increasingly violate the agent's expectations, valence is negative and increases the learning rate. Conversely, when sensations increasingly fulfil the agent's expectations, valence is positive and decreases the learning rate. This dynamic interaction between emotional valence and learning rate highlights the crucial role played by emotions in biological agents' adaptation to unexpected changes in their world.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23785269/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author Mateus Joffily
Giorgio Coricelli
spellingShingle Mateus Joffily
Giorgio Coricelli
Emotional valence and the free-energy principle.
PLoS Computational Biology
author_facet Mateus Joffily
Giorgio Coricelli
author_sort Mateus Joffily
title Emotional valence and the free-energy principle.
title_short Emotional valence and the free-energy principle.
title_full Emotional valence and the free-energy principle.
title_fullStr Emotional valence and the free-energy principle.
title_full_unstemmed Emotional valence and the free-energy principle.
title_sort emotional valence and the free-energy principle.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2013-01-01
description The free-energy principle has recently been proposed as a unified Bayesian account of perception, learning and action. Despite the inextricable link between emotion and cognition, emotion has not yet been formulated under this framework. A core concept that permeates many perspectives on emotion is valence, which broadly refers to the positive and negative character of emotion or some of its aspects. In the present paper, we propose a definition of emotional valence in terms of the negative rate of change of free-energy over time. If the second time-derivative of free-energy is taken into account, the dynamics of basic forms of emotion such as happiness, unhappiness, hope, fear, disappointment and relief can be explained. In this formulation, an important function of emotional valence turns out to regulate the learning rate of the causes of sensory inputs. When sensations increasingly violate the agent's expectations, valence is negative and increases the learning rate. Conversely, when sensations increasingly fulfil the agent's expectations, valence is positive and decreases the learning rate. This dynamic interaction between emotional valence and learning rate highlights the crucial role played by emotions in biological agents' adaptation to unexpected changes in their world.
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23785269/?tool=EBI
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