Processing speed enhances model-based over model-free reinforcement learning in the presence of high working memory functioning
Schad, Daniel J.
Zimmermann, Ulrich S.
Smolka, Michael N.
Rapp, Michael A.
Huys, Quentin J.M.
- Journal Article
Rights / licenseCreative Commons Attribution 4.0 International
Theories of decision-making and its neural substrates have long assumed the existence of two distinct and competing valuation systems, variously described as goal-directed vs. habitual, or, more recently and based on statistical arguments, as model-free vs. model-based reinforcement-learning. Though both have been shown to control choices, the cognitive abilities associated with these systems are under ongoing investigation. Here we examine the link to cognitive abilities, and find that individual differences in processing speed covary with a shift from model-free to model-based choice control in the presence of above-average working memory function. This suggests shared cognitive and neural processes; provides a bridge between literatures on intelligence and valuation; and may guide the development of process models of different valuation components. Furthermore, it provides a rationale for individual differences in the tendency to deploy valuation systems, which may be important for understanding the manifold neuropsychiatric diseases associated with malfunctions of valuation Show more
Journal / seriesFrontiers in Psychology
SubjectDecision-making; Reward; Cognitive abilities; Model-based and model-free learning; Fluid intelligence; Habitual and goal-directed system
Organisational unit03955 - Stephan, Klaas E.
MoreShow all metadata