Publikationen: 
Computational Principles of Intelligence

Binz, M.; Alaniz, S.; Roskies, A.; Aczel, B.; Bergstrom, C.; Allen, C.; Schad, D.; Wulff, D.; West, J.; Zhang, Q. et al.; Shiffrin, R.; Gershman, S.; Popov, V.; Bender, E.; Marelli, M.; Botvinick, M.; Akata, Z.; Schulz, E.: How should the advancement of large language models affect the practice of science? Proceedings of the National Academy of Sciences of the United States of America 122 (5), e2401227121 (2025)

Wu, C.; Meder, B.; Schulz, E.: Unifying principles of generalization: past, present, and future. Annual Review of Psychology 76, S. 275 - 302 (2025)

Hussain, Z.; Binz, M.; Mata, R.; Wulff, D.: A tutorial on open-source large language models for behavioral science. Behavior Research Methods 56 (8), S. 8214 - 8237 (2024)

Hedrich, N.; Schulz, E.; Hall-McMaster, S.; Schuck, N.: An inductive bias for slowly changing features in human reinforcement learning. PLOS Computational Biology 20 (11), e1012568 (2024)

Binz, M.; Dasgupta, I.; Jagadish, A.; Botvinick, M.; Wang, J.; Schulz, E.: Meta-learning: Data, architecture, and both. Behavioral and Brain Sciences 47, e170 (2024)

Thalmann, M.; Schäfer, T.; Theves, S.; Doeller, C.; Schulz, E.: Task Imprinting: Another Mechanism of Representational Change? Cognitive Neuroscience 152, 101670 (2024)

Allen, K.; Brändle, F.; Botvinick, M.; Fan, J.; Gershman, S.; Gopnik, A.; Griffiths, T.; Hartshorne, J.; Hauser, T.; Ho, M. et al.; de Leeuw, J.; Ma, W.; Murayama, K.; Nelson, J.; van Opheusden, B.; Poundsy, T.; Rafner, J.; Rahwan, I.; Rutledge, R.; Sherson, J.; Şimşek, Ö.; Spiers, H.; Summerfield, C.; Thalmann, M.; Vélez, N.; Watrous, A.; Tenenbaum, J.; Schulz, E.: Using Games to Understand the Mind. Nature Human Behaviour 8 (6), S. 1035 - 1043 (2024)

Binz, M.; Dasgupta, I.; Jagadish, A.; Botvinick, M.; Wang, J.; Schulz, E.: Meta-Learned Models of Cognition. Behavioral and Brain Sciences 47, e147 (2024)

Ruggeri, A.; Stanciu, O.; Pelz, M.; Gopnik, A.; Schulz, E.: Preschoolers search longer when there is more information to be gained. Developmental Science 27 (1), e13411 (2024)

Haridi, S.; Wu, C.; Dasgupta, I.; Schulz, E.: The scaling of mental computation in a sorting task. Cognition 241, 105605 (2023)

Giron, A.; Ciranka, S.; Schulz, E.; van den Bos, W.; Ruggeri, A.; Meder, B.; Wu, C.: Developmental changes in exploration resemble stochastic optimization. Nature Human Behaviour 7 (11), S. 1955 - 1967 (2023)

Binz, M.; Schulz, E.: Reconstructing the Einstellung effect. Computational Brain & Behavior 6 (3), S. 526 - 542 (2023)

Brändle, F.; Stocks, L.; Tenenbaum, J.; Gershman, S.; Schulz, E.: Empowerment contributes to exploration behaviour in a creative video game. Nature Human Behaviour 7 (9), S. 1481 - 1489 (2023)

Wu, S.; Éltetö, N.; Dasgupta, I.; Schulz, E.: Chunking as a rational solution to the speed-accuracy trade-off in a serial reaction time task. Scientific Reports 13, 7680 (2023)

Garvert, M.; Saanum, T.; Schulz, E.; Schuck, N.; Doeller, C.: Hippocampal spatio-predictive cognitive maps adaptively guide reward generalization. Nature Neuroscience 26 (4), S. 615 - 626 (2023)

Binz, M.; Schulz, E.: Using cognitive psychology to understand GPT-3. Proceedings of the National Academy of Sciences of the United States of America 120 (6), e2218523120 (2023)

Binz, M.; Gershman, S.; Schulz, E.; Endres, D.: Heuristics From Bounded Meta-Learned Inference. Psychological Review 129 (5), S. 1042 - 1077 (2022)

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)

Wu, C.; Schulz, E.; Pleskac, T.; Speekenbrink, M.: Time pressure changes how people explore and respond to uncertainty. Scientific Reports 12 (1), 4122 (2022)

Globig, L.; Witte, K.; Feng, G.; Sharot, T.: Under threat weaker evidence is required to reach undesirable conclusions. The Journal of Neuroscience 41 (30), S. 6502 - 6510 (2021)