Lecturer: Herbert Jaeger
Fields: Complex systems modeling, general
This is a crash course (4 sessions at 2 hrs each) on dynamical systems. It’s meant to be introductory, understandable for the IK audience, not only for mathematicians. Whenever in the wider sciences of cognitive processes (neuroscience, AI, robotics, …) one wants to model cognitive processes, one should model them as cognitive processes, that is, as dynamical systems. So there is no escape: you MUST learn about them.
- No literature to pre-read – the course slides contain references to a wide variety of writings from diverse niches in the labyrinth of dynamical systems theories (plural!). I don’t know of any single tutorial text that tries to do the impossible (which I try in this course), namely to give a comprehensive introduction. Existing tutorials (e.g. at https://dsweb.siam.org/) only each cover special subfields.
Herbert Jaeger is full Professor for Computing in Cognitive Materials at the Rijksuniversiteit Groningen (RUG) and head of the MINDS Group ”Modeling Intelligent Dynamical Systems”. He studied mathematics and psychology at the University of Freiburg and obtained his PhD in Computer Science (Artificial Intelligence) at the University of Bielefeld in 1994. After a 5-year postdoctoral fellowship at the German National Research Center for Computer Science (Sankt Augustin, Germany) he headed the “Intelligent Dynamical Systems” group at the Fraunhofer Institute for Autonomous Intelligent Systems AIS (Sankt Augustin, Germany). In 2003 he was appointed as Associate Professor for Computational Science at Jacobs University Bremen, where he stayed until he moved to RUG in 2019. Jaeger is one of several lucky independent co-discoverers of the “reservoir computing” principle for training recurrent neural networks, but has other interests as well (among them, do good teaching).
Affiliation: University of Groningen, NL