Computational Cognitive Science Lab

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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 Hardy, M.
P DMRL	Dubey, R., Hardy, M., Griffiths, T., & Bhui, R. (in press). AI-generated visuals of car-free American cities help increase support for sustainable transport policies. Nature Sustainability. (preprint)
RPM DMRL	Callaway, F., Hardy, M., & Griffiths, T. L. (2023). Optimal nudging for cognitively bounded agents: A framework for modeling, predicting, and controlling the effects of choice architectures. Psychological Review. (preprint)
CEIL DMRL	Hardy, M. D., Thompson, B., Krafft, P. M., & Griffiths, T. L. (2023). Resampling reduces bias amplification in experimental social networks. Nature Human Behavior, 7, 2084-2098. (pdf)
PR SML	McCoy, R. T., Yao, S., Friedman, D., Hardy, M., & Griffiths, T. L. (2023). Embers of autoregression: Understanding large language models through the problem they are trained to solve. (preprint)
CEIL	Vélez, N., Christian, B., Hardy, M., Thompson, B. D., & Griffiths, T. L. (2023). How do humans overcome individual computational limitations by working together? Cognitive Science, 47(1), e13232. (pdf)
RPM CEIL	Hardy, M. D., Krafft, P. M., Thompson, B., & Griffiths, T. L. (2022). Overcoming Individual Limitations Through Distributed Computation: Rational Information Accumulation in Multigenerational Populations. Topics in Cognitive Science, 14(3), 550–573. (pdf)
RPM DMRL	Callaway, F., Hardy, M., & Griffiths, T. L. (2020). Optimal nudging. Proceedings of the 42nd Annual Conference of the Cognitive Science Society. (pdf)
PR DMRL	Hardy, M., & Griffiths, T. L. (2019). Demonstrating the impact of prior knowledge in risky choice. (preprint)