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David D Bourgin
David D Bourgin
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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
2272021
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
1142019
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
802019
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
442019
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
432017
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
382014
Representational efficiency outweighs action efficiency in human program induction
S Sanborn, DD Bourgin, M Chang, TL Griffiths
arXiv preprint arXiv:1807.07134, 2018
112018
The structure of goal systems predicts human performance
DD Bourgin, F Lieder, D Reichman, N Talmon, TL Griffiths
Proceedings of the Annual Meeting of the Cognitive Science Society 39, 2017
112017
Human priors in hierarchical program induction
MK Ho, S Sanborn, F Callaway, D Bourgin, T Griffiths
2018 Conference on Cognitive Computational Neuroscience, 2018
62018
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
22018
Recommendation as generalization: Evaluating cognitive models in the wild
DD Bourgin, JT Abbot, TL Griffiths
Proceedings of the Annual Meeting of the Cognitive Science Society 40, 2018
22018
Testing Models of Cognition at Scale
DD Bourgin
UC Berkeley, 2018
22018
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
J Hamrick, D Bourgin, T Langlois, T Griffiths
Proceedings of the Annual Meeting of the Cognitive Science Society 39, 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
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Articles 1–16