Eric Schulz
Eric Schulz
Max Planck Institute for Biological Cybernetics
Verified email at - Homepage
Cited by
Cited by
Measuring risk literacy: the berlin numeracy test.
ET Cokely, M Galesic, E Schulz, S Ghazal, R Garcia-Retamero
Judgment and Decision making, 2012
A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions
E Schulz, M Speekenbrink, A Krause
Journal of Mathematical Psychology 85, 1-16, 2018
Persistent bias in expert judgments about free will and moral responsibility: A test of the expertise defense
E Schulz, ET Cokely, A Feltz
Consciousness and Cognition 20 (4), 1722-1731, 2011
Generalization guides human exploration in vast decision spaces
CM Wu, E Schulz, M Speekenbrink, JD Nelson, B Meder
Nature Human Behaviour 2 (12), 915-924, 2018
Where do hypotheses come from?
I Dasgupta, E Schulz, SJ Gershman
Cognitive Psychology 96, 1-25, 2017
The algorithmic architecture of exploration in the human brain
E Schulz, SJ Gershman
Current opinion in neurobiology 55, 7-14, 2019
Putting bandits into context: How function learning supports decision making
E Schulz, E Konstantinidis, M Speekenbrink
Journal of Experimental Psychology: Learning, Memory, and Cognition 44, 927-943, 2018
Remembrance of inferences past: Amortization in human hypothesis generation
I Dasgupta, E Schulz, ND Goodman, SJ Gershman
Cognition 178, 67-81, 2018
Compositional Inductive Biases in Function Learning
E Schulz, JB Tenenbaum, D Duvenaud, M Speekenbrink, SJ Gershman
Cognitive Psychology 99, 44-79, 2017
Searching for rewards like a child means less generalization and more directed exploration
E Schulz, CM Wu, A Ruggeri, B Meder
Psychological Science 30 (11), 1561–1572, 2019
Structured, uncertainty-driven exploration in real-world consumer choice
E Schulz, R Bhui, BC Love, B Brier, MT Todd, SJ Gershman
Proceedings of the National Academy of Sciences 116 (28), 13903-13908, 2019
It’s new, but is it good? How generalization and uncertainty guide the exploration of novel options
H Stojic, E Schulz, PP Analytis, M Speekenbrink
Journal of Experimental Psychology: General, 2020
Assessing the Perceived Predictability of Functions.
E Schulz, JB Tenenbaum, DN Reshef, M Speekenbrink, S Gershman
CogSci, 2015
Probing the compositionality of intuitive functions
E Schulz, JB Tenenbaum, D Duvenaud, M Speekenbrink, SJ Gershman
Center for Brains, Minds and Machines (CBMM), 2016
Similarities and differences in spatial and non-spatial cognitive maps
CM Wu, E Schulz, MM Garvert, B Meder, NW Schuck
PLOS Computational Biology, 2020
A theory of learning to infer.
I Dasgupta, E Schulz, JB Tenenbaum, SJ Gershman
Psychological review 127 (3), 412, 2020
Learning and decisions in contextual multi-armed bandit tasks
E Schulz, E Konstantinidis, M & Speekenbrink
Proceedings of the Thirty-Seventh Annual Conference of the Cognitive Science …, 2015
Finding structure in multi-armed bandits
E Schulz, NT Franklin, SJ Gershman
Cognitive psychology 119, 101261, 2020
Generalization and search in risky environments
E Schulz, CM Wu, QJM Huys, A Krause, M Speekenbrink
Cognitive science 42 (8), 2592-2620, 2018
Learning list concepts through program induction
J Rule, E Schulz, ST Piantadosi, JB Tenenbaum
bioRxiv, 321505, 2018
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