Researcher Portfolio
Wu, Charley M.
Center for Adaptive Behavior and Cognition, Max Planck Institute for Human Development, Max Planck Society, Center for Adaptive Rationality, Max Planck Institute for Human Development, Max Planck Society, Institutional Guests, Max Planck Institute for Biological Cybernetics, Max Planck Society, Max Planck Institute for Biological Cybernetics, Max Planck Society
Researcher Profile
Position: Center for Adaptive Behavior and Cognition, Max Planck Institute for Human Development, Max Planck Society
Position: Center for Adaptive Rationality, Max Planck Institute for Human Development, Max Planck Society
Position: Max Planck Institute for Biological Cybernetics, Max Planck Society
Position: Institutional Guests, Max Planck Institute for Biological Cybernetics, Max Planck Society
Additional IDs: MPIKYB: cwu
ORCID: https://orcid.org/0000-0002-2215-572X
ORCID: https://orcid.org/0000-0002-2215-572X
Researcher ID: https://pure.mpg.de/cone/persons/resource/persons192578
Publications
(1 - 25 of 78)
: Palminteri, S., & Wu, C. (submitted). Beyond Computational Functionalism: The Behavioral Inference Principle for Machine Consciousness. [PubMan] : Wu, C. M., Meder, B., & Schulz, E. (2025). Unifying principles of generalization: Past, present, and future. Annual Review of Psychology, 76, 275-302. doi:10.1146/annurev-psych-021524-110810. [PubMan] : Wu, C. M., Deffner, D., Kahl, B., Meder, B., Ho, M. H., & Kurvers, R. H. J. M. (2025). Adaptive mechanisms of social and asocial learning in immersive collective foraging (Version posted online January 09, 2025). BioRxiv, June 29, 2023. [PubMan] : Palminteri, S., & Wu, C. (submitted). A Cognitive Scientist's guide to Machine Consciousness. [PubMan] : Wu, C., Deffner, D., Kahl, B., Meder, B., Ho, M., & Kurvers, R. (submitted). Adaptive mechanisms of social and asocial learning in immersive collective foraging. [PubMan] : Nagy, D., Orban, G., & Wu, C. (submitted). Interplay of episodic and semantic memory arises from adaptive compression. [PubMan] : Wu, C., Meder, B., & Schulz, E. (2025). Unifying principles of generalization: past, present, and future. Annual Review of Psychology, 76, 275-302. doi:10.1146/annurev-psych-021524-110810. [PubMan] : Wu, C., Deffner, D., Kahl, B., Meder, B., Ho, M., & Kurvers, R. (submitted). Visual-spatial dynamics drive adaptive social learning in immersive environments. [PubMan] : Vélez, N., Wu, C. M., Gershman, S. J., & Schulz, E. (2024). The rise and fall of technological development in virtual communities. PsyArXiv, September 13, 2024. [PubMan] : Witt, A., Toyokawa, W., Lala, K., Gaissmaier, W., & Wu, C. (2024). 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. doi:10.1073/pnas.2404928121. [PubMan] : Vélez, N., Wu, C., Gershman, S., & Schulz, E. (submitted). The rise and fall of technological development in virtual communities. [PubMan] : Hamidi, M., Khajehabdollahi, S., Giannakakis, E., Schäfer, T., Levina, A., & Wu, C. (2024). Modular Growth of Hierarchical Networks: Efficient, General, and Robust Curriculum Learning. In ALIFE 2024: Proceedings of the 2024 Artificial Life Conference. [PubMan] : Zhou, H., Nagy, D., & Wu, C. (2024). Harmonizing Program Induction with Rate-Distortion Theory. In 46th Annual Meeting of the Cognitive Science Society (CogSci 2024) (pp. 2511-2518). doi:10.48550/arXiv.2405.05294. [PubMan] : Brändle, F., Wu, C., & Schulz, E. (submitted). Leveling up fun: Learning progress, expectations, and success influence enjoyment in video games. [PubMan] : Meder, B., Wu, C., & Rebitschek, F. (submitted). Causal Analysis of Absolute and Relative Risk Reductions. [PubMan] : Wong, E., Hauser, T., Pietrini, P., & Wu, C. (submitted). Shock to Thrill: Linking Sensation and Information Seeking. [PubMan] : Deffner, D., Mezey, D., Kahl, B., Schakowski, A., Romanczuk, P., Wu, C. M., & Kurvers, R. H. J. M. (2024). Collective incentives reduce over-exploitation of social information in unconstrained human groups. Nature Communications, 15: 2683. doi:10.1038/s41467-024-47010-3. [PubMan] : Deffner, D., Mezey, D., Kahl, B., Schakowski, A., Romanczuk, P., Wu, C., & Kurvers, R. (2024). Collective incentives reduce over-exploitation of social information in unconstrained human groups. Nature Communications, 15(1): 2683. doi:10.1038/s41467-024-47010-3. [PubMan] : Haridi, S., Wu, C., Dasgupta, I., & Schulz, E. (2023). The scaling of mental computation in a sorting task. Cognition, 241: 105605. doi:10.1016/j.cognition.2023.105605. [PubMan] : Giron, A. P., Ciranka, S., Schulz, E., van den Bos, W., Ruggeri, A., Meder, B., & Wu, C. M. (2023). Developmental changes in exploration resemble stochastic optimization. Nature Human Behaviour, 7, 1955-1967. doi:10.1038/s41562-023-01662-1. [PubMan] : Giron, A., Ciranka, S., Schulz, E., van den Bos, W., Ruggeri, A., Meder, B., & Wu, C. (2023). Developmental changes in exploration resemble stochastic optimization. Nature Human Behaviour, 7(11), 1955-1967. doi:10.1038/s41562-023-01662-1. [PubMan] : Brändle, F., Schulz, E., & Wu, C. (2023). Learning progress and uncompensated rewards as motivational drivers of engagement. In 2023 Conference on Cognitive Computational Neuroscience (pp. 832-835). doi:10.32470/CCN.2023.1286-0. [PubMan] : Hamidi, M., Bányai, M., & Wu, C. (2023). One bottleneck is not enough. In 2023 Conference on Cognitive Computational Neuroscience (pp. 795-798). doi:10.32470/CCN.2023.1729-0. [PubMan] : Rubino, V., Dayan, P., & Wu, C. (2023). Biases towards compositionally simpler hypotheses are robust and unaffected by learning. In 2023 Conference on Cognitive Computational Neuroscience (pp. 817-820). doi:10.32470/CCN.2023.1392-0. [PubMan] : Xiong, Y., Wu, C., Moneta, N., & Banyai, M. (2023). Selective memory for reward-relevant features is modulated by expertise during reward learning. In 2023 Conference on Cognitive Computational Neuroscience (pp. 733-736). doi:10.32470/CCN.2023.1504-0. [PubMan]