Cognitive modeling of the predictive active self in situated action (COMPAS)

Figure taken from Heinrich et al., 2023 (conference submission, MathPsych/ICCM/EMPG 2023). At the sensorimotor control layer, predicted sensoric feedback is matched with the actual sensoric feedback obtained from the environment. The degree to which both math each other is translated into the low-level Sense of Control which in turn is interpreted into a high-level Sense of Control. At the cognitive control layer, the high-level Sense of Control will directly affect which action possibility from the action field is selected and therefore pursued as the next action goal.


The COMPAS project is a collaboration between the Social Cognitive Systems group (Universität Bielefeld) and the Human-Aware AI group (Universität zu Lübeck) and part of the DFG priority program 2134 The Active Self, which tackles questions like “how the agency experience affects cognitive processes” and “how a self-representation might be established in artificial agents”.

In COMPAS, we specifically investigate dynamic decision-making within environments of varying predictability and complexity and focus on the sense of control component of the agency experience. We hypothesize that the sense of control is grounded in sensorimotor experiences and strongly linked to predictive coding and managing cognitive resources. To test our hypotheses, we rely on a combination of human eye-tracking experiments and computational cognitive modeling using our custom-developed environment.

We have just initiated a collaboration with the Body Social Cognition and Action lab at LMU. The goal is to explore further psychophysiological markers of the sense of control that arises in our dynamic task. Here we apply the EEG measurement method in experiments in Munich.


Principal Investigators

Prof. Dr.-Ing. Nele Rußwinkel (University of Lübeck) & Prof. Dr.-Ing. Stefan Kopp (Bielefeld University)


Research Associates

Nils Wendel Heinrich (M.Sc., University of Lübeck) & Annika Österdiekhoff (M.Sc., Bielefeld University)




  • Heinrich, N. W., Russwinkel, N., Österdiekhoff, A., & Kopp, S. (2023, July). A Straightforward Implementation of Sensorimotor Abstraction in a Two-Layer Architecture for Dynamic Decision-Making. Paper presented at MathPsych/ICCM/EMPG 2023. Via
  • Österdiekhoff, A., Heinrich, N., Russwinkel, N., & Kopp, S. (2023). Towards an Hierarchical Model-Based Reinforcement Learning Approach to Dynamic Decision-Making in Uncertain Environment. Presented at the 15th International Conference on Agents and Artificial Intelligence, Lissabon.