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Journal of Experimental Psychology. General|March 24, 2025
Can children and adults balance majority size with information quality in learning from preferences?Rebekah A Gelpí, Amy Whalen, Thomas L Griffiths, et al.
Psychological Review|April 18, 2024
Identifying resource-rational heuristics for risky choicePaul M Krueger, Frederick Callaway, Sayan Gul, et al.
Cognition|December 6, 2022
Show or tell? Exploring when (and why) teaching with language outperforms demonstrationTheodore R Sumers, Mark K Ho, Robert D Hawkins, et al.
Cognitive Science|January 19, 2023
How do Humans Overcome Individual Computational Limitations by Working Together?Natalia Vélez, Brian Christian, Mathew Hardy, et al.
Plos One|July 20, 2016
The Sapir-Whorf Hypothesis and Probabilistic Inference: Evidence from the Domain of ColorEmily Cibelli, Yang Xu, Joseph L Austerweil, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|June 4, 2023
DreamCoder: growing generalizable, interpretable knowledge with wake-sleep Bayesian program learningKevin Ellis, Lionel Wong, Maxwell Nye, et al.
Open Mind : Discoveries in Cognitive Science|April 8, 2026
A Resource-Rational Account of Human Eye Movements During Immersive Visual SearchAngela Radulescu, Bas van Opheusden, Frederick Callaway, et al.
Plos Computational Biology|August 25, 2023
Disentangling Abstraction from Statistical Pattern Matching in Human and Machine LearningSreejan Kumar, Ishita Dasgupta, Nathaniel D Daw, et al.
Science (New York, N.Y.)|June 11, 2021
Using large-scale experiments and machine learning to discover theories of human decision-makingJoshua C Peterson, David D Bourgin, Mayank Agrawal, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 4, 2024
Embers of autoregression show how large language models are shaped by the problem they are trained to solveR Thomas McCoy, Shunyu Yao, Dan Friedman, et al.
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