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Welcome on the website of the Chair of Cognitive
Modeling in dynamic Human-Machine Systems!
Our main goal consists in linking Cognitive Psychology and applied Engineering Sciences, resulting in a vibrant and pulsating field of research. Cognitive modelling provides the opportunity to investigate assumptions on cognitive processes even in complex tasks and work situations.
In this purpose, it can use already implemented cognitive architectures like ACT-R  for simulating fundamental cognitive processes used for task-specific models. Moreover, simulations of technical systems may be linked to cognitive architectures, to faciliate interaction between model and simulation. In this way, predictions on prospective system handling can be derived.
We develop modeling approaches of cognitive mechanisms to improve technical systems in applied domains. For this goal we work together with cooperation partners form university and industry. Among others together with David Peebles  (University of Huddersfield, England), Stefan Kopp  (Universität Bielefeld) and Jelmer Borst  (Rijksuniversiteit Groningen, Niederlande) also with partners from Daimler , DLR , VW , Airbus , Strato  und Roche .
|Author||Weidemann, A. and Russwinkel, N.|
|Pages||1 - 30|
|Journal||Frontiers in Psychology|
AdresseKognitive Modellierung in dynamischen Mensch-Maschine-Systemen
sec. MAR 3-2
+49 (0)30 314 72408
e-mail query 
Out now: chapter about Antizipierende interaktiv lernende autonome Agenten  by Nele Rußwinkel in the book Mensch-Roboter-Kollaboration. 
Important Information regarding the summer semester 21
Due to the ongoing Covid-19 pandemic, the course "Einführung in Kognitive Modellierung " will be held as a hybrid online course with parts of synchronous and asynchronous teaching formats and, if possible, 2-3 face-to-face sessions. Further information will follow under the corresponding course page. The semester starts on April 12, 2021.
What can AI teach us about our
A cognitive science view on AI  by Albert Newen, Constantin Rothkopf, Nele Russwinkel und Martin V. Butz
Thomaz, A. L., Lieven, E., Cakmak, M.,Chai, J. Y., Garrod, S., Gray, W.D., Leviston, S. C., Paiva, A., & Russwinkel,N.. 2018. Interaction for Task Instruction and Learning. In: Interactive Task Learning: Agents, Robots, and Humans Acquiring New Tasks through Natural Interactions , edited by K. A. Gluck and J. E. Laird. Strüngmann Forum Reports, vol. 26, J. R. Lupp, series editor. Cambridge, MA: MIT Press