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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 .
AdresseKognitive Modellierung in dynamischen Mensch-Maschine-Systemen
sec. MAR 3-2
+49 (0)30 314 72408
e-mail query 
can AI teach us about our intelligence?
This question is addressed in an interesting article on Spektrum.de 
New Student Assistant Position! (updated
We are again currenty looking for a student assistant for our DPDU project . Position to be filled ASAP!
To the announcement (german only, but please write us if you are
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
COMPAS (Computational cognitive modeling of the predictive active self in situated action ) .
This interdisciplinary project aims to model the role of the "active self" during situated real-time interaction in a dynamic/spatial environment. In cooperation with Prof. Stefan Kopp (University of Bielefeld), sponsored by DFG SPP 2134 "The Active Self".