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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 (Universit├Ąt Bielefeld), Jelmer Borst (Rijksuniversiteit Groningen, Niederlande), Hedderik van Rijn (Rijksuniversiteit Groningen, Niederlande) also with partners from Daimler, DLR, VW, Airbus, Strato und Roche.

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Kognitive Modellierung in dynamischen Mensch-Maschine-Systemen
sec. MAR 3-2
Marchstr. 23
10587 Berlin
+49 (0)30 314 72408

New Project !

We are proud to announce that our project DPDU (Digital Product, Digital User) an interdisciplinary project funded by DFG will also start in spring 2018.

For this project we are looking for  interested students from the fields of cognitive science, computer science, psychology and human factors for two positions that will also be advertised soon.

New Project!

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".

Open topics for master's theses!

Our division offers an interesting master's thesis in the field of "Matching ACT-R and EEG data" and in the field of "Developing models of dynamic decision making during category learning with ACT-R"!

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