Publikationen: 
Computational Principles of Intelligence

Zeitschriftenartikel (3)

1.
Zeitschriftenartikel
Otto, A.; Devine, A.; Schulz, E.; Bornstein, A.; Louie, K.: Context-dependent choice and evaluation in real-world consumer behavior. Scientific Reports 12 (1), 17744 (2022)
2.
Zeitschriftenartikel
Wu, C.; Schulz, E.; Pleskac, T.; Speekenbrink, M.: Time pressure changes how people explore and respond to uncertainty. Scientific Reports 12 (1), 4122 (2022)
3.
Zeitschriftenartikel
Binz, M.; Gershman, S.; Schulz, E.; Endres, D.: Heuristics From Bounded Meta-Learned Inference. Psychological Review Epub ahead (2022)

Buch (1)

4.
Buch
Dezza, I.; Wu, C.; Schulz, E.: The Drive for Knowledge: The Science of Human Information-Seeking. Cambridge University Press, Cambridge, UK (2022)

Buchkapitel (2)

5.
Buchkapitel
Brändle, F.; Binz, M.; Schulz, E.: Exploration beyond bandits. In: The Drive for Knowledge: The Science of Human Information-Seeking, S. 147 - 168 (Hg. Cogliati Dezza, I.; Wu, C.; Schulz, E.). Cambridge University Press, Cambridge, UK (2022)
6.
Buchkapitel
Cogliati Dezza, I.; Schulz, E.; Wu, C.: Future challenges. In: The drive for knowledge: The science of human information seeking, S. 279 - 290 (Hg. Cogliati Dezza, I.; Schulz, E.; Wu, C.). Cambridge University Press, Cambridge, UK (2022)

Konferenzband (1)

7.
Konferenzband
Modirshanechi, A.; Brändle, F. (Hg.): Surprise in the brain: Theory and Experiment. Bernstein 2022 Satellite Workshop: Surprise in the brain: Theory and Experiments, Berlin, Germany, 13. September 2022. (2022)

Konferenzbeitrag (8)

8.
Konferenzbeitrag
Binz, M.; Schulz, E.: Exploration With a Finite Brain. In: Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022). Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA, 28. November 2022 - 09. Dezember 2022. (angenommen)
9.
Konferenzbeitrag
Wu, S.; Éltetö, N.; Dasgupta, I.; Schulz, E.: Learning Structure from the Ground up: Hierarchical Representation Learning by Chunking. In: Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022). Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA, 28. Oktober 2022 - 09. Dezember 2022. (angenommen)
10.
Konferenzbeitrag
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)
11.
Konferenzbeitrag
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)
12.
Konferenzbeitrag
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)
13.
Konferenzbeitrag
Bashiri, M.; Walker, E.; Lurz, K.-K.; Jagadish, A.; Muhammad, T.; Ding, Z.; Ding, Z.; Tolias, A.; Sinz, F.: A flow-based latent state generative model of neural population responses to natural images. In: Advances in Neural Information Processing Systems 34: 35th Conference on Neural Information Processing Systems (NeurIPS 2021), S. 15801 - 15815 (Hg. Ranzato, M.; Beygelzimer, A.; Liang, P.; Vaughan, J.; Dauphin, Y.). Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), 06. Dezember 2021 - 14. Dezember 2021. Curran, Red Hook, NY, USA (2022)
14.
Konferenzbeitrag
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)
15.
Konferenzbeitrag
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. (2022)

Meeting Abstract (3)

16.
Meeting Abstract
Brändle, F.; Wu, C.; Schulz, E.: Fun as maximizing learnability: Balancing difficulty and prior knowledge. In 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, S. 4001 (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)
17.
Meeting Abstract
Thalmann, M.; Schaefer, T.; Theves, S.; Doeller, C.; Schulz, E.: Are Representations Shaped by Task-Specific Goals? In 21st Annual Summer Interdisciplinary Conference (ASIC 2022). 21st Annual Summer Interdisciplinary Conference (ASIC 2022), Chamonix, France, 16. Juni 2022 - 21. Juni 2022. (2022)
18.
Meeting Abstract
Giron, A.; Ciranka, S.; Schulz, E.; van den Bos, W.; Ruggeri, A.; Meder, B.; Wu, C.: The Developmental Trajectory of Learning and Exploration. In Budapest CEU Conference on Cognitive Development (BCCCD 2022), A-0136, S. 203. Budapest CEU Conference on Cognitive Development (BCCCD 2022), Budapest, Hungary, 10. Januar 2022 - 14. Januar 2022. (2022)

Vortrag (4)

19.
Vortrag
Schulz, E.: Towards a computational understanding of how children learn. Max-Planck-Iinstitut für Kognitions- und Neurowissenschaften, Leipzig, Germany (2022)
20.
Vortrag
Tutorial 2: Meta-Learned Models of Cognition. 15th Biannual Conference of the German Society for Cognitive Science (KogWis 2022), Freiburg (Breisgau), Germany (2022)
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