Lea Musiolek
Photo: SCIoI
Lea Musiolek is a psychologist and cognitive neuroscientist interested in computational modeling, social cognition, anticipation, and social robotics.
She joined SCIoI as a doctoral researcher in September 2019 under the supervision of Prof. Verena V. Hafner.
At SCIoI, she worked on Project 10 and studied how anticipation emerges in social interaction. Her work used the movements of fish, alone and in pairs, to identify patterns of prediction and to explore how these principles might be transferred to robotic systems. Her doctoral thesis brings together behavioral experiments, computational models, and robotic simulations to examine how social anticipation can be detected and understood.
Projects
Lea Musiolek is member of:
Publications +
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Musiolek
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19956
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Musiolek, L., Bierbach, D., Weimar, N., Hamon, M., Krause, J., & Hafner, V. V. (2024). Evolving Artificial Neural Networks for Simulating Fish Social Interactions. In S. Smith, J. Correia, & C. Cintrano (Eds.), Applications of Evolutionary Computation (EvoApplications 2024) (pp. 146–161). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-56852-7_10
Bierbach, D., Gómez-Nava, L., Francisco, F. A., Lukas, J., Musiolek, L., Hafner, V. V., Landgraf, T., Romanczuk, P., & Krause, J. (2022). Live fish learn to anticipate the movement of a fish-like robot*. Bioinspiration & Biomimetics, 17(6), 065007. https://doi.org/10.1088/1748-3190/ac8e3e
Landgraf, T., Gebhardt, G. H. W., Bierbach, D., Romanczuk, P., Musiolek, L., Hafner, V. V., & Krause, J. (2021). Animal-in-the-Loop: Using Interactive Robotic Conspecifics to Study Social Behavior in Animal Groups. Annual Review of Control, Robotics, and Autonomous Systems, 4(1), 487–507. https://doi.org/10.1146/annurev-control-061920-103228
Bierbach, D., Francisco, F., Lukas, J., Landgraf, T., Maxeiner, M., Romanczuk, P., Musiolek, L., Hafner, V. V., & Krause, J. (2021). Biomimetic robots promote the 3Rs Principle in animal testing. The 2021 Conference on Artificial Life. The 2021 Conference on Artificial Life. https://doi.org/10.1162/isal_a_00375
Landgraf, T., Moenck, H. J., Gebhardt, G. H. W., Weimar, N., Hocke, M., Maxeiner, M., Musiolek, L., Krause, J., & Bierbach, D. (2020). Socially competent robots: adaptation improves leadership performance in groups of live fish. arXiv. https://doi.org/10.48550/ARXIV.2009.06633
Mellmann, H., Schlotter, B., Musiolek, L., & Hafner, V. V. (2020). Anticipation as a Mechanism for Complex Behavior in Artificial Agents. The 2020 Conference on Artificial Life, 157–159. https://doi.org/10.1162/isal_a_00314
Musiolek, L., Hafner, V. V., Krause, J., Landgraf, T., & Bierbach, D. (2020). Robofish as Social Partner for Live Guppies. In V. Vouloutsi, A. Mura, F. Tauber, T. Speck, T. J. Prescott, & P. F. M. J. Verschure (Eds.), Biomimetic and Biohybrid Systems (pp. 270–274). Springer International Publishing. https://doi.org/10.1007/978-3-030-64313-3_26
For the Public -
Girls’ Day 2023
