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All Topics 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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DMRL F Plonsky, O. , Apel, R. , Ert, E. , Tennenholtz, M. , Bourgin, D. , Peterson, J. C. , Reichman, D. , Griffiths, T. L. , Russell, S. J. , Carter, E. C. , Cavanagh, J. F. , & Erev, I. (2025). Predicting human decisions with behavioural theories and machine learning. Nature Human Behaviour, 9(11), 2271–2284. (pdf)
DMRL RPM Reichman, D. , Lieder, F. , Bourgin, D. D. , Talmon, N. , & Griffiths, T. L. (2023). The computational challenges of means selection problems: Network structure of Goal Systems predicts human performance. Cognitive Science, 47 (8), e13330. (pdf)
DMRL Peterson, J. C. , Bourgin, D. , Agrawal, M. , Reichman, D. , & Griffiths, T. (2021). Using large-scale experiments and machine learning to discover theories of human decision-making. Science, 372 (6547), 1209-1214. (pdf)
S&C Bourgin, D. , Abbott, J. T. , & Griffiths, T. L. (2021). Recommendation as generalization: Using big data to evaluate cognitive models. Journal of Experimental Psychology: General, 150, 1398–1409. (pdf)
E Jupyter, P. , Blank, D. , Bourgin, D. , Brown, A. , Bussonnier, M. , Frederic, J. , Granger, B. , Griffiths, T. L. , Hamrick, J. , Kelley, K. , Pacer, M. , Page, L. , Perez, F. , Ragan-Kelley, B. , Suchow, J. W. , & Willing, C. (2019). nbgrader: A tool for creating and grading assignments in the Jupyter notebook. Journal of Open Source Education, 2 (11), 32. (pdf)
DMRL Bourgin, D. , Peterson, J. C. , Reichman, D. , Russell, S. , & Griffiths, T. L. (2019). Cognitive model priors for predicting human decisions. Proceedings of the 36th International Conference on Machine Learning (ICML) . (pdf)
DMRL RPM Reichman, D. , Lieder, F. , Bourgin, D. D. , Talmon, N. , & Griffiths, T. L. (2018). The computational challenges of pursuing multiple goals: Network structure of goal systems predicts human performance. (preprint)
S&C Bourgin, D. D. , Abbott, J. T. , & Griffiths, T. L. (2018). Recommendation as generalization: Evaluating cognitive models in the wild. Proceedings of the 40th Annual Conference of the Cognitive Science Society. (pdf)
DMRL Sanborn, S. , Bourgin, D. D. , Chang, M. , & Griffiths, T. L. (2018). Representational efficiency outweighs action efficiency in human program induction. Proceedings of the 40th Annual Conference of the Cognitive Science Society. (pdf)
CEIL F Suchow, J. W. , Bourgin, D. D. , & Griffiths, T. L. (2017). Evolution in mind: Evolutionary dynamics, cognitive processes, and Bayesian inference. Trends in Cognitive Sciences, 21(7), 522-530. (pdf)
RPM Bourgin, D. D. , Lieder, F. , Reichman, D. , Talmon, N. , & Griffiths, T. L. (2017). The structure of goal systems predicts human performance. Proceedings of the 39th Annual Conference of the Cognitive Science Society. (pdf)
RPM SML Bourgin, D. D. , Abbott, J. T. , Griffiths, T. L. , Smith, K. A. , & Vul, E. (2014). Empirical evidence for Markov chain Monte Carlo in memory search. Proceedings of the 36th Annual Conference of the Cognitive Science Society . (pdf)