An Extension-Based Argument-Ranking Semantics: Social Rankings in Abstract Argumentation

Authors

  • Lars Bengel Artificial Intelligence Group, University of Hagen, Hagen, Germany
  • Giovanni Buraglio Institute of Logic and Computation, TU Wien, Wien, Austria
  • Jan Maly Institute of Logic and Computation, TU Wien, Wien, Austria Institute of Data, Process and Knowledge Management, WU Vienna University of Economics and Business, Wien, Austria
  • Kenneth Skiba Artificial Intelligence Group, University of Hagen, Hagen, Germany

DOI:

https://doi.org/10.1609/aaai.v39i14.33621

Abstract

In this paper, we introduce a new family of argument-ranking semantics which can be seen as a refinement of the classification of arguments into skeptically accepted, credulously accepted and rejected. To this end we use so-called social ranking functions which have been developed recently to rank individuals based on their performance in groups. We provide necessary and sufficient conditions for a social ranking function to give rise to an argument-ranking semantics satisfying the desired refinement property.
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Published

2025-04-11

How to Cite

Bengel, L., Buraglio, G., Maly, J., & Skiba, K. (2025). An Extension-Based Argument-Ranking Semantics: Social Rankings in Abstract Argumentation. Proceedings of the AAAI Conference on Artificial Intelligence, 39(14), 14790–14797. https://doi.org/10.1609/aaai.v39i14.33621

Issue

Vol. 39 No. 14: AAAI-25 Technical Tracks 14

Section

AAAI Technical Track on Knowledge Representation and Reasoning