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

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By Zhao, B.
CEIL
SC
Ham, H., Zhao, B., Griffiths, T. L., & Velez, N. (2025). Teaching Recombinable Motifs Through Simple Example. Cognitive Science, 49(8). (pdf)
F
Sucholutsky, I., Zhao, B., Hwang, H., Chen, A., Russakovsky, O., Griffiths, T. L. (2025). Learning a doubly-exponential number of concepts from few examples. (preprint)
CEIL
DMRL
Zhao, B., Mieczkowski, E., Arumugam, D., Velez, N., & Griffiths, T. L. (2025). Discovering Hidden Laws in Innovation by Recombination. 47th Annual Meeting of the Cognitive Science Society. (pdf)
S&C
Sucholutsky, I., Zhao, B., & Griffiths, T. L. (2024). Using compositionality to learn many categories from few examples. 46th Annual Meeting of the Cognitive Science Society. (pdf)
DMRL
RPM
Zhao, B., Velez, N., & Griffiths, T. L. (2024). A rational model of innovation by recombination. 46th Annual Meeting of the Cognitive Science Society. (pdf)
CD
DMRL
Zhao, B., Vélez, N., & Griffiths, T. L. (2024). Comparing human behavior to an optimal policy for innovation. Proceedings of the AAAI Symposium Series, 3(1), 598-599. (pdf)

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