Publikationen von CM Wu

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

Witt, A.; Toyokawa, W.; Lala, K.; Gaissmaier, W.; Wu, C.: Humans flexibly integrate social information despite interindividual differences in reward. Proceedings of the National Academy of Sciences of the United States of America 121 (39), e2404928121 (2024)

Deffner, D.; Mezey, D.; Kahl, B.; Schakowski, A.; Romanczuk, P.; Wu, C.; Kurvers, R.: Collective incentives reduce over-exploitation of social information in unconstrained human groups. Nature Communications 15 (1), 2683 (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)

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

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

Wu, C.; Schulz, E.; Gershman, S.: Inference and search on graph-structured spaces. Computational Brain & Behavior 4, S. 125 - 147 (2021)

Zuberer, A.; Kucyi, A.; Yamashita, A.; Wu, C.; Walter, M.; Valera, E.; Esterman, M.: Integration and segregation across large-scale intrinsic brain networks as a marker of sustained attention and task-unrelated thought. NeuroImage 229, 117610, S. 1 - 10 (2021)

Brändle, F.; Wu, C.; Schulz, E.: What are we curious about? Trends in Cognitive Sciences 24 (9), S. 685 - 687 (2020)

Wu, C.; Schulz, E.; Garvert, M.; Meder, B.; Schuck, N.: Similarities and differences in spatial and non-spatial cognitive maps. PLoS Computational Biology 16 (9) (2020)

Schulz, E.; Wu, C.; Ruggeri, A.; Meder, B.: Searching for rewards like a child means less generalization and more directed exploration. Psychological Science 30 (11), S. 1561 - 1572 (2019)

Wu, C.; Schulz, E.; Speekenbrink, M.; Nelson, J.; Meder, B.: Generalization guides human exploration in vast decision spaces. Nature Human Behaviour 2 (12), S. 915 - 924 (2018)

Schulz, E.; Wu, C.; Huys, Q.; Krause, A.; Speekenbrink, M.: Generalization and search in risky environments. Cognitive Science 42 (8), S. 2592 - 2620 (2018)

Cogliati Dezza, I.; Wu, C.; Schulz, E.: The Drive for Knowledge: The Science of Human Information-Seeking. Cambridge University Press, Cambridge, UK (2022), 292 S.

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)

Hamidi, M.; Khajehabdollahi, S.; Giannakakis, E.; Schäfer, T.; Levina, A.; Wu, C.: Modular Growth of Hierarchical Networks: Efficient, General, and Robust Curriculum Learning. In: ALIFE 2024: Proceedings of the 2024 Artificial Life Conference. 2024 Conference on Artificial Life, Copenhagen, Denmark, 22. Juli 2024 - 26. Juli 2024. (2024)

Zhou, H.; Nagy, D.; Wu, C.: Harmonizing Program Induction with Rate-Distortion Theory. In: 46th Annual Meeting of the Cognitive Science Society (CogSci 2024), S. 2511 - 2518. 46th Annual Meeting of the Cognitive Science Society (CogSci 2024), Rotterdam, the Netherlands, 24. Juli 2024 - 27. Juli 2024. (2024)

Brändle, F.; Schulz, E.; Wu, C.: Learning progress and uncompensated rewards as motivational drivers of engagement. In: 2023 Conference on Cognitive Computational Neuroscience, P-2.114, S. 832 - 835. Conference on Cognitive Computational Neuroscience (CCN 2023), Oxford, UK, 24. August 2023 - 27. August 2023. (2023)

Hamidi, M.; Bányai, M.; Wu, C.: One bottleneck is not enough. In: 2023 Conference on Cognitive Computational Neuroscience, P-2B.44, S. 795 - 798. Conference on Cognitive Computational Neuroscience (CCN 2023), Oxford, UK, 24. August 2023 - 27. August 2023. (2023)