3 papers
cs.AI2026
Broadening the Applicability of Conditional Syntax Splitting for Reasoning from Conditional Belief Bases
Lars-Phillip Spiegel, Jonas Haldimann, Jesse Heyninck +2
In nonmonotonic reasoning from conditional belief bases, an inference operator satisfying syntax splitting postulates allows for taking only the relevant parts of a belief base int…
cs.AI2026
Interpretable Hybrid Machine Learning Models Using FOLD-R++ and Answer Set Programming
Sanne Wielinga, Jesse Heyninck
Machine learning (ML) techniques play a pivotal role in high-stakes domains such as healthcare, where accurate predictions can greatly enhance decision-making. However, most high-p…
cs.AI2025
Extension-ranking Semantics for Abstract Argumentation Preprint
Kenneth Skiba, Tjitze Rienstra, Matthias Thimm +2
In this paper, we present a general framework for ranking sets of arguments in abstract argumentation based on their plausibility of acceptance. We present a generalisation of Dung…