Publications

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F Foundations
P Perception
E Education
CI Causal Induction
CD Cognitive Development
PR Probabilistic Reasoning
RPM Rational Process Models
S&C Similarity and Categorization
SML Statistical Models of Language
NBM Nonparametric Bayesian Models
CEIL Cultural Evolution and Iterated Learning
DMRL Decision Making and Reinforcement Learning

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By Zhu, J.
DMRL
Zhu, J. Q., Peterson, J. C., Enke, B., & Griffiths, T. L. (2024) Capturing the Complexity of Human Strategic Decision-Making with Machine Learning. (preprint)
PR
SML
Zhu, J.-Q., & Griffiths, T. L. (2024). Incoherent Probability Judgments in Large Language Models. 46th Annual Meeting of the Cognitive Science Society. (pdf)
PR
S&C
Zhu, J. Q., Yan, H., & Griffiths, T. (2024). Recovering Mental Representations from Large Language Models with Markov Chain Monte Carlo. 46th Annual Meeting of the Cognitive Science Society. (pdf)
F
Griffiths, T. L., Zhu, J. Q., Grant, E., & McCoy, R. T. (2023). Bayes in the age of intelligent machines. (preprint)
DMRL
Xia, F., Zhu, J., & Griffiths, T. (2023). Comparing human predictions from expert advice to on-line optimization algorithms. 45th Annual Meeting of the Cognitive Science Society. (pdf)
RPM
Zhu, J. Q., Sanborn, A., Chater, N., & Griffiths, T. (2023). Computation-Limited Bayesian updating. 45th Annual Meeting of the Cognitive Science Society. (pdf)

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