arxivcs.AIcs.LOcs.PL2026-07-23
How Rules Represent Causal Knowledge: Causal Modeling with Probabilistic Logic Programming
Kilian Rueckschloss, Felix Weitkaemper
Pearl famously argues that causal knowledge enables the prediction of intervention effects. By contrast, purely descriptive knowledge supports only conclusions drawn from observations. His theory of causality, however, is developed exclusively within Bayesian networks and causal…