Using large-scale experiments and machine learning to discover theories of human decision-making JC Peterson, DD Bourgin, M Agrawal, D Reichman, TL Griffiths Science 372 (6547), 1209-1214, 2021 | 190 | 2021 |
Cognitive model priors for predicting human decisions DD Bourgin, JC Peterson, D Reichman, SJ Russell, TL Griffiths International conference on machine learning, 5133-5141, 2019 | 105 | 2019 |
Predicting human decisions with behavioral theories and machine learning O Plonsky, R Apel, E Ert, M Tennenholtz, D Bourgin, JC Peterson, ... arXiv preprint arXiv:1904.06866, 2019 | 75 | 2019 |
nbgrader: A tool for creating and grading assignments in the Jupyter Notebook DS Blank, D Bourgin, A Brown, M Bussonnier, J Frederic, B Granger, ... The Journal of Open Source Education 2 (11), 2019 | 44 | 2019 |
Evolution in mind: Evolutionary dynamics, cognitive processes, and bayesian inference JW Suchow, DD Bourgin, TL Griffiths Trends in cognitive sciences 21 (7), 522-530, 2017 | 41 | 2017 |
Empirical evidence for markov chain monte carlo in memory search D Bourgin, J Abbott, T Griffiths, K Smith, E Vul Proceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 2014 | 34 | 2014 |
The structure of goal systems predicts human performance DD Bourgin, F Lieder, D Reichman, N Talmon, TL Griffiths 39th Annual Meeting of the Cognitive Science Society: Computational …, 2017 | 11 | 2017 |
Representational efficiency outweighs action efficiency in human program induction S Sanborn, DD Bourgin, M Chang, TL Griffiths arXiv preprint arXiv:1807.07134, 2018 | 9 | 2018 |
Human priors in hierarchical program induction MK Ho, S Sanborn, F Callaway, D Bourgin, T Griffiths 2018 Conference on Cognitive Computational Neuroscience, 2018 | 6 | 2018 |
The computational challenges of pursuing multiple goals: Network structure of goal systems predicts human performance D Reichman, F Lieder, D Bourgin, N Talmon, TL Griffiths OSF, 2018 | 2 | 2018 |
Recommendation as generalization: Evaluating cognitive models in the wild DD Bourgin, JT Abbott, TL Griffiths 40th Annual Meeting of the Cognitive Science Society: Changing Minds, CogSci …, 2018 | 2 | 2018 |
Testing Models of Cognition at Scale DD Bourgin UC Berkeley, 2018 | 2 | 2018 |
The Computational Challenges of Means Selection Problems: Network Structure of Goal Systems Predicts Human Performance D Reichman, F Lieder, DD Bourgin, N Talmon, TL Griffiths Cognitive science 47 (8), e13330, 2023 | | 2023 |
Recommendation as generalization: Using big data to evaluate cognitive models. DD Bourgin, JT Abbott, TL Griffiths Journal of Experimental Psychology: General 150 (7), 1398, 2021 | | 2021 |
Exploring inductive bias of visual scenes. JB Hamrick, D Bourgin, T Langlois, T Griffiths CogSci, 2017 | | 2017 |
Goal Pursuit for Computationally Bounded Agents: The Network Structure of Goal Systems Predicts Human Performance D Reichman, F Lieder, DD Bourgin, N Talmon, TL Griffiths | | |