Reasoning about Independence in Open Universe Probabilistic Logic Programs. - Kilian Rueckschloss; Felix Weitkämper (ICLP Workshops, 2021)

Correct Causal Inference in Probabilistic Logic Programming. - Kilian Rückschloß; Felix Weitkämper (ICLP Workshops, 2022)

Exploiting the Full Power of Pearl's Causality in Probabilistic Logic Programming. - Kilian Rückschloß; Felix Weitkämper (ICLP Workshops, 2022)

On the Subtlety of Causal Reasoning in Probabilistic Logic Programming: A Bug Report about the Causal Interpretation of Annotated Disjunctions. - Kilian Rückschloß; Felix Weitkämper (ICLP Workshops, 2023)

What Do Counterfactuals Say About the World? Reconstructing Probabilistic Logic Programs from Answers to "What If?" Queries. - Kilian Rückschloß; Felix Weitkämper (ILP, 2023)

On the Independencies Hidden in the Structure of a Probabilistic Logic Program. - Kilian Rückschloß; Felix Weitkämper (ICLP, 2023)

"Would life be more interesting if I were in AI?" Answering Counterfactuals based on Probabilistic Inductive Logic Programming. - Kilian Rückschloß; Felix Weitkämper (ICLP, 2023)

"What if?" in Probabilistic Logic Programming. - Rafael Kiesel; Kilian Rückschloß; Felix Weitkämper (Theory Pract. Log. Program., 2023)

How Artificial Intelligence Leads to Knowledge Why: An Inquiry Inspired by Aristotle's Posterior Analytics. - Guus Eelink; Kilian Rückschloß; Felix Weitkämper (CoRR, 2025)

How Rules Represent Causal Knowledge: Causal Modeling with Abductive Logic Programs. - Kilian Rückschloß; Felix Weitkämper (CoRR, 2025)