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When at rest: “Event-free” active inference may give rise to implicit self-models of coping potential

Published online by Cambridge University Press:  02 September 2015

Ryan J. Murray
Affiliation:
Laboratory for the Study of Emotion Elicitation and Expression, Department of Psychology, University of Geneva, 1205 Geneva, Switzerland ryan.murray@unige.ch http://cms.unige.ch/fapse/EmotionLab/Members/ryan-murray/ http://cms.unige.ch/fapse/EmotionLab/Members/david-sander/ Swiss Center for Affective Sciences, University of Geneva, 1211 Geneva, Switzerland
Philip Gerrans
Affiliation:
Swiss Center for Affective Sciences, University of Geneva, 1211 Geneva, Switzerland Department of Philosophy, University of Adelaide, Adelaide SA 5005, Australia philip.gerrans@adelaide.edu.au https://adelaide.academia.edu/PhilipGerrans
Tobias Brosch
Affiliation:
Swiss Center for Affective Sciences, University of Geneva, 1211 Geneva, Switzerland Consumer Decision and Sustainable Behavior Lab, Department of Psychology, University of Geneva, 1205 Geneva, Switzerland. tobias.brosch@unige.ch david.sander@unige.ch https://www.unige.ch/fapse/decisionlab/people/tobias-brosch/
David Sander
Affiliation:
Laboratory for the Study of Emotion Elicitation and Expression, Department of Psychology, University of Geneva, 1205 Geneva, Switzerland ryan.murray@unige.ch http://cms.unige.ch/fapse/EmotionLab/Members/ryan-murray/ http://cms.unige.ch/fapse/EmotionLab/Members/david-sander/ Swiss Center for Affective Sciences, University of Geneva, 1211 Geneva, Switzerland

Abstract

Kalisch and colleagues highlight coping potential (CP) as a principle resilience mechanism during event engagement. We complement this discussion by exploring generative implicit CP self-models, arguably emerging during “resting-state,” subsequent and prior to events. Resting-state affords a propitious environment for Bayesian learning, wherein appraisals/reappraisals may update active inferential CP self-models, which then mediate appraisal style organization and resilience factor valuation.

Information

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2015 

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