The Predictive Dynamics of Happiness and Well-Being

Miller, Mark; Rietveld, Erik; Kiverstein, Julian

Emotion Review, 2021, 14(1), 15-30

Permalink : https://hdl.handle.net/2115/83907

このアイテムのアクセス数:386件（2026-01-19 14:22 集計）

ファイル	フォーマット	サイズ	閲覧回数	説明
https://doi.org/10.1177/17540739211063851			2

アクセス権	metadata only access
URI	https://hdl.handle.net/2115/83907
タイトル	The Predictive Dynamics of Happiness and Well-Being
著者	Miller, Mark ; Rietveld, Erik ; Kiverstein, Julian
著者名 Miller, Mark
著者名 Rietveld, Erik
著者名 Kiverstein, Julian
言語	英語
キーワード	well-being
	error dynamics
	valence
	predictive processing
発行日	2021-12-29
出版者	SAGE Publications
収録物名	Emotion Review
巻(号)	14(1)
ページ	15-30
抄録	We offer an account of mental health and well-being using the predictive processing framework (PPF). According to this framework, the difference between mental health and psychopathology can be located in the goodness of the predictive model as a regulator of action. What is crucial for avoiding the rigid patterns of thinking, feeling and acting associated with psychopathology is the regulation of action based on the valence of affective states. In PPF, valence is modelled as error dynamics-the change in prediction errors over time. Our aim in this paper is to show how error dynamics can account for both momentary happiness and longer term well-being. What will emerge is a new neurocomputational framework for making sense of human flourishing.
資源タイプ	学術雑誌論文
出版タイプ	Version of Record
PISSN	1754-0739
関連情報 (isIdenticalTo)	出版社版DOI https://doi.org/10.1177/17540739211063851