ATLAS: Active Theory Learning for Automated Science

No\'emi \'Eltet\H{o}, Nathaniel D. Daw, Kimberly L. Stachenfeld, Kevin J. Miller

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arXiv:2606.12386v1 Announce Type: cross Abstract: Advancing scientific understanding through mechanistic modeling requires posing the right experimental questions to yield maximally informative data. To automate this pursuit within cognitive science, we introduce ATLAS (Active Theory Learning for Automated Science), an active learning framework...

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