Place: Zoom: https://ucph-ku.zoom.us/j/69215889110?pwd=Tlh4QXRtUzg4ekUzaDhxTkM4bFBldz09
Contact: bo [dot] bernhardsson [at] control [dot] lth [dot] se
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Title: Causal inference in dynamical systems
Speaker: Søren Wengel Mogensen, Dept. of Automatic Control, LTH
Many questions in science are causal in the sense that they aim to describe the mechanisms that govern observed data and not just the observed correlations. Sometimes we can use prior knowledge of the data generation to reason about cause and effect, and through experiments we can learn about an unknown or partially unknown system. In this talk, we discuss how one can formalize 'cause' and 'effect' and describe ideas behind some of the methods that one can use to learn about the causal structure in systems where we can only do a limited set of experiments, if any at all.
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