From Complexity to Precision-Charting Decision-Making Through Normative Modeling

Kumar, P; Dayan, P; Wolfers, T

doi:10.1001/jamapsychiatry.2023.4611

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From Complexity to Precision-Charting Decision-Making Through Normative Modeling

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Dayan, P
Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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https://jamanetwork.com/journals/jamapsychiatry/article-abstract/2813433
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Citation

Kumar, P., Dayan, P., & Wolfers, T. (2023). From Complexity to Precision-Charting Decision-Making Through Normative Modeling. JAMA Psychiatry, 81(2), 117-118. doi:10.1001/jamapsychiatry.2023.4611.

Cite as: https://hdl.handle.net/21.11116/0000-000E-1653-C

Abstract

Data-driven and theory-driven branches of computational psychiatry agree on the literal importance of normative modeling but differ in their interpretations of the term. In this Viewpoint, we offer analysis and synthesis of these 2 approaches to normativity and present a roadmap for achieving a refined categorization of mental disorders through modeling individual-level deviations from estimated population norms across theory-informed models of human decision-making.