KR2026Proceedings of the 23rd International Conference on Principles of Knowledge Representation and ReasoningProceedings of the 23rd International Conference on Principles of Knowledge Representation and Reasoning

Lisbon, Portugal. July 20-23, 2026.

Edited by

ISSN: 2334-1033
ISBN: 978-1-956792-18-8

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Copyright © 2026 International Joint Conferences on Artificial Intelligence Organization

Computing Extensions of Abstract Argumentation Frameworks by Enumerating Closed Sets

  1. Sergei Obiedkov(Knowledge-Based Systems Group, TU Dresden, Germany, Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI) Dresden, Germany)
  2. Barış Sertkaya(Frankfurt University of Applied Sciences)

Keywords

  1. null-abstract argumentation frameworks
  2. null-complete extensions
  3. null-stable extensions
  4. null-preferred extensions
  5. null-closure systems

Abstract

We present a new approach for computing complete, stable and preferred extensions of abstract argumentation frameworks. Unlike existing approaches that reduce these problems to the propositional satisfiability problem and solve them with the help of SAT-solvers, our approach solves them directly by making use of the fact that the mentioned extensions are contained in certain closure systems. Our algorithms enumerate these closed sets and filter the searched extensions. Experimental results show that our approach outperforms the existing approaches for a large number of the test cases.