Literature DB >> 28838467

A Formal Valuation Framework for Emotions and Their Control.

Quentin J M Huys1, Daniel Renz2.   

Abstract

Computational psychiatry aims to apply mathematical and computational techniques to help improve psychiatric care. To achieve this, the phenomena under scrutiny should be within the scope of formal methods. As emotions play an important role across many psychiatric disorders, such computational methods must encompass emotions. Here, we consider formal valuation accounts of emotions. We focus on the fact that the flexibility of emotional responses and the nature of appraisals suggest the need for a model-based valuation framework for emotions. However, resource limitations make plain model-based valuation impossible and require metareasoning strategies to apportion cognitive resources adaptively. We argue that emotions may implement such metareasoning approximations by restricting the range of behaviors and states considered. We consider the processes that guide the deployment of the approximations, discerning between innate, model-free, heuristic, and model-based controllers. A formal valuation and metareasoning framework may thus provide a principled approach to examining emotions.
Copyright © 2017 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Computational psychiatry; Decision making; Emotion regulation; Emotions; Model based; Reinforcement learning

Mesh:

Year:  2017        PMID: 28838467     DOI: 10.1016/j.biopsych.2017.07.003

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN: 0006-3223            Impact factor:   13.382


  6 in total

1.  The posited effect of positive affect in anorexia nervosa: Advocating for a forgotten piece of a puzzling disease.

Authors:  Kathryn A Coniglio; Kara A Christensen; Ann F Haynos; Renee D Rienecke; Edward A Selby
Journal:  Int J Eat Disord       Date:  2019-07-30       Impact factor: 4.861

2.  A Computational View on the Nature of Reward and Value in Anhedonia.

Authors:  Quentin J M Huys; Michael Browning
Journal:  Curr Top Behav Neurosci       Date:  2022

Review 3.  Interpersonal dysfunction in borderline personality: a decision neuroscience perspective.

Authors:  Michael N Hallquist; Nathan T Hall; Alison M Schreiber; Alexandre Y Dombrovski
Journal:  Curr Opin Psychol       Date:  2017-09-23

Review 4.  Search for solutions, learning, simulation, and choice processes in suicidal behavior.

Authors:  Alexandre Y Dombrovski; Michael N Hallquist
Journal:  Wiley Interdiscip Rev Cogn Sci       Date:  2021-05-18

5.  A Pavlovian account for paradoxical effects of motivation on controlling response vigour.

Authors:  Delphine Oudiette; Fabien Vinckier; Emmanuelle Bioud; Mathias Pessiglione
Journal:  Sci Rep       Date:  2019-05-20       Impact factor: 4.379

6.  Model-based learning retrospectively updates model-free values.

Authors:  Max Doody; Maaike M H Van Swieten; Sanjay G Manohar
Journal:  Sci Rep       Date:  2022-02-11       Impact factor: 4.996

  6 in total

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