Publications of E Schulz

Journal Article (24)

21.
Journal Article
Schulz, E.; Tenenbaum, J.; Duvenaud, D.; Speekenbrink , M.; Gershman, S.: Compositional Inductive Biases in Function Learning. Cognitive Neuroscience 99, pp. 44 - 79 (2017)
22.
Journal Article
Dasgupta, I.; Schulz, E.; Gershman, S.: Where Do Hypotheses Come From? Cognitive Psychology 96, pp. 1 - 25 (2017)
23.
Journal Article
Cokely, E.; Galesic, M.; Schulz, E.; Ghazal, S.; Garcia-Retamero, R.: Measuring risk literacy: The Berlin numeracy test. Judgment and Decision Making 7 (1), pp. 25 - 47 (2012)
24.
Journal Article
Schulz, E.; Cokely, E.; Feltz, A.: Persistent bias in expert judgments about free will and moral responsibility: A test of the expertise defense. Consciousness and Cognition 20 (4), pp. 1722 - 1731 (2011)

Book (1)

25.
Book
Dezza, I.; Wu, C.; Schulz, E.: The Drive for Knowledge: The Science of Human Information-Seeking. Cambridge University Press, Cambridge, UK (2022)

Book Chapter (2)

26.
Book Chapter
Brändle, F.; Binz, M.; Schulz, E.: Exploration beyond bandits. In: The Drive for Knowledge: The Science of Human Information-Seeking (Eds. Dezza, I.; Wu, C.; Schulz, E.). Cambridge University Press, Cambridge, UK (2022)
27.
Book Chapter
Cokely, E.; Ghazal, S.; Galesic, M.; García-Retamero, R.; Schulz, E.: How to measure risk comprehension in educated samples. In: Transparent communication of health risks: Overcoming cultural differences, pp. 29 - 52. Springer, New York, NY, USA (2013)

Conference Paper (30)

28.
Conference Paper
Jagadish, A.; Saanum, T.; Wang, J.; Binz, M.; Schulz, E.: Probing Compositional Inference in Natural and Artificial Agents. In: 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), 1.67, pp. 275 - 279. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Providence, RI, USA, June 08, 2022 - June 11, 2022. (2022)
29.
Conference Paper
Witte, K.; Wise, T.; Schulz, E.: The two faces of anxiety in exploration: Taking risks or playing it safe. In: 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), 1.47, p. 32. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Providence, RI, USA, June 08, 2022 - June 11, 2022. (2022)
30.
Conference Paper
Demircan, C.; Pettini, L.; Saanum, T.; Binz, M.; Baczkowski, B.; Doeller, C.; Garvert, M.; Schulz, E.: Decision-Making with Naturalistic Options. In: 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity. 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, Toronto, Canada, July 27, 2022 - July 30, 2022. (submitted)
31.
Conference Paper
Wu, S.; Éltetö, N.; Dasgupta, I.; Schulz, E.: Learning Structure from the Ground up: Hierarchical Representation Learning by Chunking. In: Tenth International Conference on Learning Representations (ICLR 2022). Tenth International Conference on Learning Representations (ICLR 2022), April 25, 2022 - April 29, 2022. (submitted)
32.
Conference Paper
Saanum, T.; Schulz, E.; Speekenbrink, M.: Compositional generalization in multi-armed bandits. In: CogSci 2021 Virtual: Comparative Cognition, Cognitive Animals, pp. 1320 - 1326. 43rd Annual Conference of the Cognitive Science Society (CogSci 2021), July 26, 2021. (2021)
33.
Conference Paper
Bertram, L.; Schulz, E.; Hofer, M.; Nelson, J.: The Psychology of Human Entropy Intuitions. In: 42nd Annual Meeting of the Cognitive Science Society (CogSci 2020): 5Developing a Mind: Learning in Humans, Animals, and Machines, pp. 1457 - 1463 (Eds. Denison, S.; Mack, M.; Xu, Y.; Armstrong, B.). 42nd Annual Virtual Meeting of the Cognitive Science Society (CogSci 2020), Toronto, Canada, July 29, 2020 - August 01, 2020. Curran, Red Hook, NY, USA (2020)
34.
Conference Paper
Dasgupta, I.; Schulz, E.; Hamrick, J.; Tenenbaum, J.: Heuristics, hacks, and habits: Boundedly optimal approaches to learning, reasoning and decision making. In: 41st Annual Meeting of the Cognitive Science Society (CogSci 2019): Creativity + Cognition + Computation, pp. 72 - 73 (Eds. Goel, A.; Seifert, C.; Freksa, C.). 41st Annual Conference of the Cognitive Science Society (CogSci 2019), Montreal, Canada, July 24, 2019 - July 27, 2019. Curran, Red Hook, NY, USA (2019)
35.
Conference Paper
Schulz, E.; Bertram, L.; Hofer, M.; Nelson, J.: Exploring the space of human exploration using Entropy Mastermind. In: 41st Annual Meeting of the Cognitive Science Society (CogSci 2019): Creativity + Cognition + Computation, pp. 2762 - 2768 (Eds. Goel, A.; Seifert, C.; Freksa, C.). 41st Annual Conference of the Cognitive Science Society (CogSci 2019), Montreal, Canada, July 24, 2019 - July 27, 2019. Curran, Red Hook, NY, USA (2019)
36.
Conference Paper
Wu, C.; Schulz, E.; Gerbaulet, K.; Pleskac, T.; Speekenbrink, M.: Under pressure: The influence of time limits on human exploration. In: 41st Annual Meeting of the Cognitive Science Society (CogSci 2019): Creativity + Cognition + Computation, pp. 1219 - 1225 (Eds. Goel, A.; Seifert, C.; Freksa, C.). 41st Annual Conference of the Cognitive Science Society (CogSci 2019), Montreal, Canada, July 24, 2019 - July 27, 2019. Curran, Red Hook, NY, USA (2019)
37.
Conference Paper
Wu, C.; Schulz, E.; Gershman, S.: Generalization as diffusion: Human function learning on graphs. In: 41st Annual Meeting of the Cognitive Science Society (CogSci 2019): Creativity + Cognition + Computation, pp. 3122 - 3128 (Eds. Goel, A.; Seifert, C.; Freksa, C.). 41st Annual Conference of the Cognitive Science Society (CogSci 2019), Montreal, Canada, July 24, 2019 - July 27, 2019. Curran, Red Hook, NY, USAr (2019)
38.
Conference Paper
Wu, C.; Schulz, E.; Gershman, S.: Searching for rewards in graph-structured spaces. In: Conference on Cognitive Computational Neuroscience (CCN 2019), PS-2B.64, pp. 814 - 817. Conference on Cognitive Computational Neuroscience (CCN 2019) , Berlin, Germany, September 13, 2019 - September 16, 2019. (2019)
39.
Conference Paper
Bertram, L.; Schulz, E.; Hofer, M.; Nelson, J.: Entropy Mastermind: Learning from humans about intelligent systems. In: Human-like Computing Machine Intelligence Workshop (MI21-HLC), pp. 1 - 3. Human-like Computing Machine Intelligence Workshop (MI21-HLC) , Windsor, UK, June 30, 2019 - July 03, 2019. (2019)
40.
Conference Paper
Bramley, N.; Schulz, E.; Xu, F.; Tenenbaum, J.: Learning as program induction. In: 40th Annual Cognitive Science Society Meeting (CogSci 2018): Changing / Minds, pp. 5 - 6. Workshop Learning as Program Induction at the 40th Annual Conference of the Cognitive Science Society, Madison, WI, USA, July 25, 2018. Curran, Red Hook, NY, USA (2019)
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