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Neuroadaptive Bayesian optimisation can allow integrative design spaces at the individual level in the social and behavioural sciences… and beyond
Published online by Cambridge University Press: 05 February 2024
Abstract
Almaatouq et al. propose an integrative experiment design space combined with large samples for scientific advancement. We argue recent innovative designs combining closed-loop experiment designs and Bayesian optimisation allow for integrative experiments at an individual level during a single session, circumventing the necessity for large samples. This method can be applied across disciplines, including developmental and clinical research.
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- Open Peer Commentary
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- Copyright © The Author(s), 2024. Published by Cambridge University Press
References
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Target article
Beyond playing 20 questions with nature: Integrative experiment design in the social and behavioral sciences
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