Max Wolf has an interdisciplinary background including economics, biology and cognitive sciences. His research brings together theoretical and computational approaches to behavior and decision making with experimental work in fish and humans.
At SCIoI, Max works on Project 21
SCIoI Publications:
Ehlman, S., Scherer, U., Bierbach, D., Francisco, F., Laskowski, K., Krause, J., & Wolf, M. (2023). Leverging big data to uncover the eco-evolutionary factors shaping behavioural development. Proceedings of the Royal Society B. https://doi.org/10.1098/rspb.2022.2115
Tump, A. N., Wolf, M., Romanczuk, P., & Kurvers, R. (2022). Avoiding costly mistakes in groups: The evolution of error management in collective decision making. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1010442
Ehlman, S., Scherer, U., & Wolf, M. (2022). Developmental feedbacks and the emergence of individuality. Royal Society Open Science. https://doi.org/10.1098/rsos.221189
Laskowski, K., Bierbach, D., Jolles, J., Doran, C., & Wolf, M. (2022). The emergence and development of behavioral individuality in clonal fish. Nature Communications. https://doi.org/10.1038/s41467-022-34113-y
McNamara, J., & Wolf, M. (2022). Social interaction can select for reduced ability. Proceedings of the Royal Society B: Biological Sciences. https://doi.org/10.1098/rspb.2022.1788
Tump, A. N., Wolf, M., Romanczuk, P., & Kurvers, R. (2022). Avoiding costly mistakes in groups: The evolution of error management in collective decision making. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1010442
Kurvers, R. H. J. M., Herzog, S. M., Hertwig, R., Krause, J., & Wolf, M. (2021). Pooling decisions decreases variation in response bias and accuracy. IScience, 24(7), 102740. https://doi.org/10.1016/j.isci.2021.102740
Kurvers, R. H. J. M., Herzog, S. M., Hertwig, R., Krause, J., Moussaid, M., Argenziano, G., Zalaudek, I., Carney, P. A., & Wolf, M. (2019). How to detect high-performing individuals and groups: Decision similarity predicts accuracy. Science Advances, 5(11), eaaw9011. https://doi.org/10.1126/sciadv.aaw9011