activity
20002026
most citedOn the Intertranslatability of Argumentation Semantics

55 citations · 277 across the 43 of their papers we have counts for

collaborators

48 papers

cs.AI2026

On Strong Equivalence Notions in Logic Programming and Abstract Argumentation

Giovanni Buraglio, Wolfgang Dvorak, Stefan Woltran

Strong equivalence between knowledge bases ensures the possibility of replacing one with the other without affecting reasoning outcomes, in any given context. This makes it a cruci…

cs.AI2026

Splitting Assumption-Based Argumentation Frameworks

Giovanni Buraglio, Wolfgang Dvorak, Stefan Woltran

Assumption-Based Argumentation (ABA) is a well-established formalism for modelling and reasoning over debates, with a wide range of applications. However, the high computational co…

cs.AI2025★ 1 cited

Automated Hybrid Grounding Using Structural and Data-Driven Heuristics

Alexander Beiser, Markus Hecher, Stefan Woltran

The grounding bottleneck poses one of the key challenges that hinders the widespread adoption of Answer Set Programming in industry. Hybrid Grounding is a step in alleviating the b…

cs.LO2025

Epistemic Logic Programs: Non-Ground and Counting Complexity

Thomas Eiter, Johannes K. Fichte, Markus Hecher +1

Answer Set Programming (ASP) is a prominent problem-modeling and solving framework, whose solutions are called answer sets. Epistemic logic programs (ELP) extend ASP to reason abou…

cs.HC2024

Visualizing Extensions of Argumentation Frameworks as Layered Graphs

Martin Nöllenburg, Christian Pirker, Anna Rapberger +2

The visualization of argumentation frameworks (AFs) is crucial for enabling a wide applicability of argumentative tools. However, their visualization is often considered only as an…

cs.AI2023

A Unified View on Forgetting and Strong Equivalence Notions in Answer Set Programming

Zeynep G. Saribatur, Stefan Woltran

Answer Set Programming (ASP) is a prominent rule-based language for knowledge representation and reasoning with roots in logic programming and non-monotonic reasoning. The aim to c…