David D Bourgin
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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
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
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
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
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
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
The Structure of Goal Systems Predicts Human Performance.
D Bourgin, F Lieder, D Reichman, N Talmon, T Griffiths
CogSci-The Annual meeting of the Cognitive Science Society, 2017
Representational efficiency outweighs action efficiency in human program induction
S Sanborn, DD Bourgin, M Chang, TL Griffiths
arXiv preprint arXiv:1807.07134, 2018
Human priors in hierarchical program induction
MK Ho, S Sanborn, F Callaway, D Bourgin, T Griffiths
Computational Cognitive Neuroscience (CCN) 1, 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
PsyArXiv, 2018
Testing Models of Cognition at Scale
DD Bourgin
UC Berkeley, 2018
Recommendation as Generalization: Evaluating Cognitive Models In the Wild.
D Bourgin, JT Abbott, T Griffiths
CogSci, 2018
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
Exploring inductive bias of visual scenes.
JB Hamrick, D Bourgin, T Langlois, T Griffiths
CogSci, 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
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