activity
20242026
collaborators

6 papers

cs.AI2026

Bounded Fitting for Expressive Description Logics

Maurice Funk, Jean Christoph Jung, Tom Voellmer

Bounded fitting is an attractive paradigm for learning logical formulas from labeled data examples that offers PAC-style generalization guarantees and can often be implemented leve…

cs.LO2026

Computation and Size of Interpolants for Hybrid Modal Logics

Jean Christoph Jung, Jędrzej Kołodziejski, Frank Wolter

Recent research has established complexity results for the problem of deciding the existence of interpolants in logics lacking the Craig Interpolation Property (CIP). The proof tec…

cs.AI2025

Interpolation in Knowledge Representation

Jean Christoph Jung, Patrick Koopmann, Matthias Knorr

Craig interpolation and uniform interpolation have many applications in knowledge representation, including explainability, forgetting, modularization and reuse, and even learning.…

cs.LO2025

The Complexity of Defining and Separating Fixpoint Formulae in Modal Logic

Jean Christoph Jung, Jędrzej Kołodziejski

Modal separability for modal fixpoint formulae is the problem to decide for two given modal fixpoint formulae whether there is a modal formula that separates them, in th…

cs.AI2025

SAT-Based Bounded Fitting for the Description Logic ALC

Maurice Funk, Jean Christoph Jung, Tom Voellmer

Bounded fitting is a general paradigm for learning logical formulas from positive and negative data examples, that has received considerable interest recently. We investigate bound…

cs.LO2024

Modal Separability of Fixpoint Formulae

Jean Christoph Jung, Jędrzej Kołodziejski

We study modal separability for fixpoint formulae: given two mutually exclusive fixpoint formulae , decide whether there is a modal formula that separates them, that is,…