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Emotion and decision-making: affect-driven belief systems in anxiety and depression

Paulus, Martin P. ; Yu, Angela J. (2012)
Emotion and decision-making: affect-driven belief systems in anxiety and depression.
In: Trends in Cognitive Sciences, 16 (9)
doi: 10.1016/j.tics.2012.07.009
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

Emotion processing and decision-making are integral aspects of daily life. However, our understanding of the interaction between these constructs is limited. In this review, we summarize theoretical approaches that link emotion and decision-making, and focus on research with anxious or depressed individuals to show how emotions can interfere with decision-making. We integrate the emotional framework based on valence and arousal with a Bayesian approach to decision-making in terms of probability and value processing. We discuss how studies of individuals with emotional dysfunctions provide evidence that alterations of decision-making can be viewed in terms of altered probability and value computation. We argue that the probabilistic representation of belief states in the context of partially observable Markov decision processes provides a useful approach to examine alterations in probability and value representation in individuals with anxiety and depression, and outline the broader implications of this approach.

Typ des Eintrags: Artikel
Erschienen: 2012
Autor(en): Paulus, Martin P. ; Yu, Angela J.
Art des Eintrags: Bibliographie
Titel: Emotion and decision-making: affect-driven belief systems in anxiety and depression
Sprache: Englisch
Publikationsjahr: September 2012
Ort: Amsterdam
Verlag: Elsevier
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Trends in Cognitive Sciences
Jahrgang/Volume einer Zeitschrift: 16
(Heft-)Nummer: 9
DOI: 10.1016/j.tics.2012.07.009
URL / URN: https://www.sciencedirect.com/science/article/pii/S136466131...
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Kurzbeschreibung (Abstract):

Emotion processing and decision-making are integral aspects of daily life. However, our understanding of the interaction between these constructs is limited. In this review, we summarize theoretical approaches that link emotion and decision-making, and focus on research with anxious or depressed individuals to show how emotions can interfere with decision-making. We integrate the emotional framework based on valence and arousal with a Bayesian approach to decision-making in terms of probability and value processing. We discuss how studies of individuals with emotional dysfunctions provide evidence that alterations of decision-making can be viewed in terms of altered probability and value computation. We argue that the probabilistic representation of belief states in the context of partially observable Markov decision processes provides a useful approach to examine alterations in probability and value representation in individuals with anxiety and depression, and outline the broader implications of this approach.

Freie Schlagworte: Affect, Anxiety Disorders, Arousal, Bayes Theorem, Decision Making, Depressive Disorder, Emotions, Humans
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155 citations (Crossref) 2023-10-13

Fachbereich(e)/-gebiet(e): 03 Fachbereich Humanwissenschaften
03 Fachbereich Humanwissenschaften > Institut für Psychologie
Hinterlegungsdatum: 01 Nov 2023 12:34
Letzte Änderung: 02 Nov 2023 07:36
PPN: 512827389
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