Humans primarily use model-based inference in the two-stage task

Carolina Feher da Silva () and Todd A. Hare ()
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Carolina Feher da Silva: University of Zurich
Todd A. Hare: University of Zurich

Nature Human Behaviour, 2020, vol. 4, issue 10, 1053-1066

Abstract: Abstract Distinct model-free and model-based learning processes are thought to drive both typical and dysfunctional behaviours. Data from two-stage decision tasks have seemingly shown that human behaviour is driven by both processes operating in parallel. However, in this study, we show that more detailed task instructions lead participants to make primarily model-based choices that have little, if any, simple model-free influence. We also demonstrate that behaviour in the two-stage task may falsely appear to be driven by a combination of simple model-free and model-based learning if purely model-based agents form inaccurate models of the task because of misconceptions. Furthermore, we report evidence that many participants do misconceive the task in important ways. Overall, we argue that humans formulate a wide variety of learning models. Consequently, the simple dichotomy of model-free versus model-based learning is inadequate to explain behaviour in the two-stage task and connections between reward learning, habit formation and compulsivity.

Date: 2020
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DOI: 10.1038/s41562-020-0905-y

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