Cognitive Modeling

Fedor Scholz

University of Tübingen
Department of Computer Science
Cognitive Modeling
Sand 14, 72076 Tübingen



Research interests

I am interested in active inference and how our brain deals with latent object properties such as affordances. Additionally, I am working on modeling spatio-temporal processes, such as river discharge, using artificial neural networks.


  • Scholz, F., Ayari, E., Bertram, J., & Butz, M. V. (2024). Quick and Accurate Affordance Learning. arXiv preprint arXiv:2405.07816.
  • Scholz, F., Gumbsch, C., Otte, S., & Butz, M. V. (2022). Inference of affordances and active motor control in simulated agents. Frontiers in Neurorobotics, 16, 881673.