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Reinforcement Learning of Adaptive Control Strategies

Overview
Journal Commun Psychol
Publisher Nature Portfolio
Date 2024 Sep 6
PMID 39242891
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Abstract

Humans can up- or downregulate the degree to which they rely on task information for goal-directed behaviour, a process often referred to as cognitive control. Adjustments in cognitive control are traditionally studied in response to experienced or expected task-rule conflict. However, recent theories suggest that people can also learn to adapt control settings through reinforcement. Across three preregistered task switching experiments (n = 415), we selectively rewarded correct performance on trials with either more (incongruent) or less (congruent) task-rule conflict. Results confirmed the hypothesis that people rewarded more on incongruent trials showed smaller task-rule congruency effects, thus optimally adapting their control settings to the reward scheme. Using drift diffusion modelling, we further show that this reinforcement of cognitive control may occur through conflict-dependent within-trial adjustments of response thresholds after conflict detection. Together, our findings suggest that, while people remain more efficient at learning stimulus-response associations through reinforcement, they can similarly learn cognitive control strategies through reinforcement.

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References
1.
Diamond A . Executive functions. Annu Rev Psychol. 2012; 64:135-68. PMC: 4084861. DOI: 10.1146/annurev-psych-113011-143750. View

2.
Simen P, Cohen J, Holmes P . Rapid decision threshold modulation by reward rate in a neural network. Neural Netw. 2006; 19(8):1013-26. PMC: 1808344. DOI: 10.1016/j.neunet.2006.05.038. View

3.
Botvinick M, Braver T . Motivation and cognitive control: from behavior to neural mechanism. Annu Rev Psychol. 2014; 66:83-113. DOI: 10.1146/annurev-psych-010814-015044. View

4.
Tajima S, Drugowitsch J, Pouget A . Optimal policy for value-based decision-making. Nat Commun. 2016; 7:12400. PMC: 4992126. DOI: 10.1038/ncomms12400. View

5.
Doebel S . Rethinking Executive Function and Its Development. Perspect Psychol Sci. 2020; 15(4):942-956. DOI: 10.1177/1745691620904771. View