3 papers
cs.AI2026
From probability to causality in probabilistic logic programming
Zora Wurm, Kilian Rückschloß, Felix Weitkämper
Probabilistic logic programming is a formalism of statistical relational artificial intelligence that supports causal queries, including interventions from outside the system. When…
cs.AI2026
Logic Programming Semantics for Causal Processes
Felix Weitkämper
Motivated by challenging modelling issues in the life sciences, we investigate the relationship between logic programming semantics and the eventual states of causal processes comp…
cs.AI2025
How Artificial Intelligence Leads to Knowledge Why: An Inquiry Inspired by Aristotle's Posterior Analytics
Guus Eelink, Kilian Rückschloß, Felix Weitkämper
Bayesian networks and causal models provide frameworks for handling queries about external interventions and counterfactuals, enabling tasks that go beyond what probability distrib…