A General Dialogue Framework for Logic-based Argumentation

Loan Ho*, Stefan Schlobach

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingChapterAcademicpeer-review

Abstract

There is an extensive body of work in logic-based argumentation, which links logic and argumentation, which is a potential solution to address inconsistencies or conflicting information in knowledge bases (KBs) by offering dialogue games as proof procedures to determine and explain the acceptance of propositions. Most existing work, though, focuses on specific logics (such as description logics, existential rules, defeasible and propositional logics), has limitations of representational aspects, for selected semantics and binary conflicts. In this paper, we generalise this work by introducing G-SAF, which generalises the notions of arguments, dialogues and dialogue trees for more general logical reasoning with inconsistencies, including the most common semantics and to facilitate reasoning with non-binary conflicts using argumentation with collective attacks (SAFs).

Original languageEnglish
Title of host publicationArgXAI 2024 Argumentation for eXplainable AI 2024
Subtitle of host publicationProceedings of the 2nd International Workshop on Argumentation for eXplainable AI co-located with the 10th International Conference on Computational Models of Argument (COMMA 2024) Hagen, Germany, September 16, 2024
EditorsTimotheus Kampik, Kristijonas Čyras, Antonio Rago, Oana Cocarascu
PublisherCEUR-WS.org
Pages41-55
Number of pages15
Publication statusPublished - 2024
Event2nd International Workshop on Argumentation for eXplainable AI, ArgXAI 2024 - Hagen, Germany
Duration: 16 Sept 2024 → …

Publication series

NameCEUR Workshop Proceedings
Volume3768

Conference

Conference2nd International Workshop on Argumentation for eXplainable AI, ArgXAI 2024
Country/TerritoryGermany
CityHagen
Period16/09/24 → …

Bibliographical note

Publisher Copyright:
© 2024 Copyright for this paper by its authors.

Keywords

  • Argumentation
  • Explanation
  • Inconsistency-tolerant reasoning

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