Publikationen: 
Computational Principles of Intelligence

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)

Wu, C.; Meder, B.; Schulz, E.: Unifying principles of generalization: past, present, and future. (eingereicht)

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)

Meder, B.; Wu, C.; Schulz, E.; Ruggeri, A.: Development of directed and random exploration in children. Developmental Science 24 (4), e13095 (2021)