Probabilistic Causality and Explications ((08) A02)

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The project will lay the foundations for a causality-based system analysis as well as the generation of explications that rely on formal cause-effect relations. This analysis supports the understanding of causal chains and of the induced cascades of dependencies between system components at design time, but also the generation of plausibilisations of observed behaviours at run-time. The research program includes algorithmic and complexity-theoretic problems for different forms of causality-based reasoning in stochastic operational models. It will support the transfer of causal structures explicating observations formally to visual or verbal representations explaining them intuitively.