Bas van Opheusden
Bas van Opheusden
Zweryfikowany adres z princeton.edu
Cytowane przez
Cytowane przez
Bayesian microsaccade detection
A Mihali, B van Opheusden, WJ Ma
Journal of vision 17 (1), 13-13, 2017
Learning cooperative personalized policies from gaze data
C Gebhardt, B Hecox, B van Opheusden, D Wigdor, J Hillis, O Hilliges, ...
Proceedings of the 32nd annual ACM symposium on user interface software and …, 2019
A computational model for decision tree search.
B Van Opheusden, G Galbiati, Z Bnaya, Y Li, WJ Ma
CogSci, 2017
Shear shocks in fragile networks
S Ulrich, N Upadhyaya, B Opheusden, V Vitelli
Proceedings of the National Academy of Sciences 110 (52), 20929-20934, 2013
Unbiased and efficient log-likelihood estimation with inverse binomial sampling
B van Opheusden, L Acerbi, WJ Ma
PLoS computational biology 16 (12), e1008483, 2020
Rational use of cognitive resources in human planning
F Callaway, B van Opheusden, S Gul, P Das, PM Krueger, TL Griffiths, ...
Nature Human Behaviour 6 (8), 1112-1125, 2022
Revealing the impact of expertise on human planning with a two-player board game
B van Opheusden, G Galbiati, I Kuperwajs, Z Bnaya, WJ Ma
PsyArXiv, 2021
Human planning as optimal information seeking
F Callaway, B van Opheusden, S Gul, P Das, P Krueger, F Lieder, ...
Manuscript in preparation, 2021
Tasks for aligning human and machine planning
B van Opheusden, WJ Ma
Current Opinion in Behavioral Sciences 29, 127-133, 2019
Do people think like computers?
B van Opheusden, Z Bnaya, G Galbiati, WJ Ma
Computers and Games: 9th International Conference, CG 2016, Leiden, The …, 2016
Complex cognitive algorithms preserved by selective social learning in experimental populations
B Thompson, B Van Opheusden, T Sumers, TL Griffiths
Science 376 (6588), 95-98, 2022
Leveraging artificial intelligence to improve people’s planning strategies
F Callaway, YR Jain, B van Opheusden, P Das, G Iwama, S Gul, ...
Proceedings of the National Academy of Sciences 119 (12), e2117432119, 2022
Prospective planning and retrospective learning in a largescale combinatorial game
I Kuperwajs, B van Opheusden, WJ Ma
2019 conference on cognitive computational neuroscience. berlın, alemania, 13-16, 2019
Boosting human decision-making with AI-generated decision aids
F Becker, J Skirzyński, B van Opheusden, F Lieder
Computational Brain & Behavior, 1-24, 2022
Time spent thinking in online chess reflects the value of computation
E Russek, D Acosta-Kane, B van Opheusden, MG Mattar, T Griffiths
PsyArXiv, 2022
Encouraging far-sightedness with automatically generated descriptions of optimal planning strategies: Potentials and limitations
F Becker, JM Skirzynski, B van Opheusden, F Lieder
Proceedings of the annual meeting of the cognitive science society 43 (43), 2021
From heuristic to optimal models in naturalistic visual search
A Radulescu, B van Opheusden, F Callaway, T Griffiths, J Hillis
Eighth International Conference on Learning Representations, April 26, 2020
Tasks for aligning human and machine planning
WJ Ma, B van Opheusden
PsyArXiv, 2019
A Bayesian model for microsaccade detection
A Mihali, B van Opheusden, WJ Ma
Journal of Vision 15 (12), 1275-1275, 2015
The component processes of complex planning follow distinct developmental trajectories
I Ma, C Phaneuf, B van Opheusden, WJ Ma, C Hartley
PsyArXiv, 2022
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