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This paper outlines the emerging framework for using AI to automate scientific discovery in psychology, specifically addressing challenges like representing experiments and synthesizing models to derive psychological theories. By focusing on generating synthetic behavior and closing the loop between data and theory, the work positions AI as a central tool for advancing cognitive science rather than just an incidental feature.
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Toward an automated science of the mind

arXiv1 min read

arXiv:2603.20988v2 Announce Type: replace Abstract: Artificial Intelligence is starting to automate scientific discovery, raising the prospect of an automated science of the mind. We chart this field around four challenges: representing experiments, generating synthetic behavior, synthesizing models, and closing the loop to discover psychological theories.

Abstract:Artificial Intelligence is starting to automate scientific discovery, raising the prospect of an automated science of the mind. We chart this field around four challenges: representing experiments, generating synthetic behavior, synthesizing models, and closing the loop to discover psychological theories.

Artificial Intelligence (cs.AI); Neurons and Cognition (q-bio.NC)

arXiv:2603.20988 [cs.AI]

(or arXiv:2603.20988v2 [cs.AI] for this version)

https://doi.org/10.48550/arXiv.2603.20988 Focus to learn more arXiv-issued DOI via DataCite

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Full text under the publisher's open licence · 136 words

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