Abstract
SummaryDecision making is often considered to arise out of contributions from a model-free habitual system and a model-based goal-directed system. Here, we investigated the effect of a dopamine manipulation on the degree to which either system contributes to instrumental behavior in a two-stage Markov decision task, which has been shown to discriminate model-free from model-based control. We found increased dopamine levels promote model-based over model-free choice.
Highlights
An overarching view of adaptive behavior is that humans and animals act to maximize reward and minimize punishment as a consequence of their choices
Model-free reinforcement learning (RL) learns the course of action leading to maximum long-run reward through a temporal difference (TD) prediction error teaching signal (Montague et al, 1996)
An unresolved question is whether neuromodulatory systems implicated in value-based decision making, dopamine, impact on the degree to which one or the other controller is dominant in choice behavior
Summary
Decision making is often considered to arise out of contributions from a model-free habitual system and a model-based goal-directed system. We investigated the effect of a dopamine manipulation on the degree to which either system contributes to instrumental behavior in a two-stage Markov decision task, which has been shown to discriminate model-free from model-based control. We found increased dopamine levels promote model-based over model-free choice
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