Dynamic environments are characterized by their unpredictability. We investigate how a self might emerge when acting in these unpredictable environments. More specifically the COMPAS project aims to explore the role of sense of control (SoC) in the emergence of self and implement a computational cognitive model of the SoC in situated action.
We continuously develop an experimental paradigm to investigate what part SoC plays in decision making in dynamic environments. We also explore various metrics of eye movement behavior as possible implicit measures of Sense of Control. Additionally, we are refining a computational model of deep reinforcement learning which simulates an individual’s control experience in situated action. The computational model is based on theoretical processes underlying the sense of control. We investigate whether SoC can provide a control mechanism shaping the learning of robust and adaptive policies.
PIs: Prof. Nele Russwinkel, Prof. Stefan Kopp
PhDs: Nils Heinrich, Annika Österdiekoff