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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 Dayan, P.RPM DMRL Jain, Y. R. , Callaway, F. , Griffiths, T. L. , Dayan, P. , He, R. , Krueger, P. M. , & Lieder, F. (2023). A computational process-tracing method for measuring people’s planning strategies and how they change over time. Behavior Research Methods, 55 , 2037–2079. (pdf)
F DMRL Dubey, R. , Griffiths, T. L. , & Dayan, P. (2022). The pursuit of happiness: A reinforcement learning perspective on habituation and comparisons. PLoS Computational Biology, 18(8) , e1010316. (pdf)
CI RPM Bramley, N. R. , Dayan, P. , Griffiths, T. L. , & Lagnado, D. A. (2017). Formalizing Neuraths Ship: Approximate algorithms for online causal learning. Psychological Review, 124(3), 301-338. (pdf)