Identifying Diagnostic Arguments in Abstract Argumentation

Jordan Robinson (Lead / Corresponding author), Katie Atkinson, Simon Maskell, Chris Reed

Research output: Chapter in Book/Report/Conference proceedingChapter

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Abstract

This demo paper introduces an application that is capable of identifying and visualising diagnostic arguments within abstract argumentation systems. The software presented is underpinned by a novel algorithm, called the Diagnostic Argument Identifier, that combines a semantic-based approach with a technique from the information-theoretic literature, to quantify the impact that the removal of an argument has on the acceptability of other arguments.
Original languageEnglish
Title of host publicationProceedings of COMMA 2024
EditorsChris Reed, Matthias Thimm, Tjitze Rienstra
Pages359-360
Number of pages2
Volume388
ISBN (Electronic)9781643685359
DOIs
Publication statusPublished - 27 Aug 2024

Publication series

NameFrontiers in Artificial Intelligence and Applications
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Keywords

  • abstract argumentation
  • information theory
  • intelligence analysis

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