TU Berlin

Cognitive Modeling in dynamic Human-Machine SystemsIntelligent Cognitive Systems


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Intelligent Cognitive Systems

We research and develop prototypes of innovative intelligent cognitive systems. Our systems are based on an informed and rule-based approach to cognitive modeling. This is based on cognitive models which were developed, for example, with cognitive architectures. Furthermore, our systems are specified by additional parameters that describe the user but also the context. Our systems support users in real time. It is essential that the systems provide support adapted to the situation and user state. To ensure this, our models predict the cognitive state of the user.

Such a system is currently being developed and tested in the AVALANCHE project.




Neuroadaptive Kognitive Modellierung


Team Intelligent Cognitive Systems

Nele Russwinkel

Sabine Prezenski

Oliver Klaproth

Martin Krabbe

Ziying Zhang



Project-related Publications

Prezenski, S., Brechmann, A., Wolff, S. and Russwinkel, N. (2017). A Cognitive Modeling Approach to Strategy Formation in Dynamic Decision Making. Front. Psychol., 8(1335), p. 1-18. doi: 10.3389/fpsyg.2017.01335 Link to original publication


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