Model-based decision making and model-free learning

Nicole Drummond; Yael Niv

doi:10.1016/j.cub.2020.06.051

Model-based decision making and model-free learning

Nicole Drummond, Yael Niv

Research output: Contribution to journal › Article › peer-review

20 Scopus citations

Abstract

Drummond and Niv explore the theoretical and computational basis for two decision-making systems: model-based and model-free. They explain ways in which the two systems work in tandem and how the brain arbitrates between the two according to uncertainty. They demonstrate that each system has an equally valuable approach to guiding action selection under varying contexts.

Original language	English (US)
Pages (from-to)	R860-R865
Journal	Current Biology
Volume	30
Issue number	15
DOIs	https://doi.org/10.1016/j.cub.2020.06.051
State	Published - Aug 3 2020

All Science Journal Classification (ASJC) codes

Neuroscience(all)
Biochemistry, Genetics and Molecular Biology(all)
Agricultural and Biological Sciences(all)

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10.1016/j.cub.2020.06.051

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abstract = "Drummond and Niv explore the theoretical and computational basis for two decision-making systems: model-based and model-free. They explain ways in which the two systems work in tandem and how the brain arbitrates between the two according to uncertainty. They demonstrate that each system has an equally valuable approach to guiding action selection under varying contexts.",

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Model-based decision making and model-free learning

Abstract

All Science Journal Classification (ASJC) codes

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