Publikationen von E Schulz

Schulz, E.; Tenenbaum, J.; Duvenaud, D.; Speekenbrink , M.; Gershman, S.: Compositional Inductive Biases in Function Learning. Cognitive Neuroscience 99, S. 44 - 79 (2017)

Dasgupta, I.; Schulz, E.; Gershman, S.: Where Do Hypotheses Come From? Cognitive Psychology 96, S. 1 - 25 (2017)

Cokely, E.; Galesic, M.; Schulz, E.; Ghazal, S.; Garcia-Retamero, R.: Measuring risk literacy: The Berlin numeracy test. Judgment and Decision Making 7 (1), S. 25 - 47 (2012)

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), S. 1722 - 1731 (2011)

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

Brändle, F.; Binz, M.; Schulz, E.: Exploration beyond bandits. In: The Drive for Knowledge: The Science of Human Information-Seeking (Hg. Dezza, I.; Wu, C.; Schulz, E.). Cambridge University Press, Cambridge, UK (2022)

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, S. 29 - 52. Springer, New York, NY, USA (2013)

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, S. 976 - 982 (Hg. Culbertson, J.; Perfors, A.; Rabagliati, H.; Ramenzoni, V.). 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, Toronto, Canada, 27. Juli 2022 - 30. Juli 2022. (2022)

Ludwig, T.; Wu, C.; Schulz, E.: Connecting Exploration, Generalization, and Planning in Correlated Trees. In: 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, S. 2940 - 2946 (Hg. Culbertson, J.; Perfors, A.; Rabagliati, H.; Ramenzoni, V.). 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, Toronto, Canada, 27. Juli 2022 - 30. Juli 2022. (2022)

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, S. 275 - 279. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Providence, RI, USA, 08. Juni 2022 - 11. Juni 2022. (2022)

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, S. 32. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Providence, RI, USA, 08. Juni 2022 - 11. Juni 2022. (2022)

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), 25. April 2022 - 29. April 2022. (eingereicht)

Saanum, T.; Schulz, E.; Speekenbrink, M.: Compositional generalization in multi-armed bandits. In: CogSci 2021 Virtual: Comparative Cognition, Cognitive Animals, S. 1320 - 1326. 43rd Annual Conference of the Cognitive Science Society (CogSci 2021), 26. Juli 2021. (2021)

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, S. 1457 - 1463 (Hg. Denison, S.; Mack, M.; Xu, Y.; Armstrong, B.). 42nd Annual Virtual Meeting of the Cognitive Science Society (CogSci 2020), Toronto, Canada, 29. Juli 2020 - 01. August 2020. Curran, Red Hook, NY, USA (2020)

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, S. 72 - 73 (Hg. Goel, A.; Seifert, C.; Freksa, C.). 41st Annual Conference of the Cognitive Science Society (CogSci 2019), Montreal, Canada, 24. Juli 2019 - 27. Juli 2019. Curran, Red Hook, NY, USA (2019)

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, S. 2762 - 2768 (Hg. Goel, A.; Seifert, C.; Freksa, C.). 41st Annual Conference of the Cognitive Science Society (CogSci 2019), Montreal, Canada, 24. Juli 2019 - 27. Juli 2019. Curran, Red Hook, NY, USA (2019)

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, S. 1219 - 1225 (Hg. Goel, A.; Seifert, C.; Freksa, C.). 41st Annual Conference of the Cognitive Science Society (CogSci 2019), Montreal, Canada, 24. Juli 2019 - 27. Juli 2019. Curran, Red Hook, NY, USA (2019)

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, S. 3122 - 3128 (Hg. Goel, A.; Seifert, C.; Freksa, C.). 41st Annual Conference of the Cognitive Science Society (CogSci 2019), Montreal, Canada, 24. Juli 2019 - 27. Juli 2019. Curran, Red Hook, NY, USAr (2019)

Wu, C.; Schulz, E.; Gershman, S.: Searching for rewards in graph-structured spaces. In: Conference on Cognitive Computational Neuroscience (CCN 2019), PS-2B.64, S. 814 - 817. Conference on Cognitive Computational Neuroscience (CCN 2019) , Berlin, Germany, 13. September 2019 - 16. September 2019. (2019)

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), S. 1 - 3. Human-like Computing Machine Intelligence Workshop (MI21-HLC) , Windsor, UK, 30. Juni 2019 - 03. Juli 2019. (2019)