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Does temporal discounting explain unhealthy behavior? A systematic review and reinforcement learning perspective

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Story, Giles W., Vlaev, Ivo, Seymour, Ben, Darzi, Ara and Dolan, Raymond J. (2014) Does temporal discounting explain unhealthy behavior? A systematic review and reinforcement learning perspective. Frontiers in Behavioral Neuroscience, 8 . 76. doi:10.3389/fnbeh.2014.00076 ISSN 1662-5153.

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Official URL: http://dx.doi.org/10.3389/fnbeh.2014.00076

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Abstract

The tendency to make unhealthy choices is hypothesized to be related to an individual's temporal discount rate, the theoretical rate at which they devalue delayed rewards. Furthermore, a particular form of temporal discounting, hyperbolic discounting, has been proposed to explain why unhealthy behavior can occur despite healthy intentions. We examine these two hypotheses in turn. We first systematically review studies which investigate whether discount rates can predict unhealthy behavior. These studies reveal that high discount rates for money (and in some instances food or drug rewards) are associated with several unhealthy behaviors and markers of health status, establishing discounting as a promising predictive measure. We secondly examine whether intention-incongruent unhealthy actions are consistent with hyperbolic discounting. We conclude that intention-incongruent actions are often triggered by environmental cues or changes in motivational state, whose effects are not parameterized by hyperbolic discounting. We propose a framework for understanding these state-based effects in terms of the interplay of two distinct reinforcement learning mechanisms: a “model-based” (or goal-directed) system and a “model-free” (or habitual) system. Under this framework, while discounting of delayed health may contribute to the initiation of unhealthy behavior, with repetition, many unhealthy behaviors become habitual; if health goals then change, habitual behavior can still arise in response to environmental cues. We propose that the burgeoning development of computational models of these processes will permit further identification of health decision-making phenotypes.

Item Type: Journal Article
Divisions: Faculty of Social Sciences > Warwick Business School > Behavioural Science
Faculty of Social Sciences > Warwick Business School
Journal or Publication Title: Frontiers in Behavioral Neuroscience
Publisher: Frontiers Research Foundation
ISSN: 1662-5153
Official Date: 12 March 2014
Dates:
DateEvent
12 March 2014Published
21 February 2014Accepted
Volume: 8
Article Number: 76
DOI: 10.3389/fnbeh.2014.00076
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)

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