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Layered Visualization of Argumentation Frameworks

  • Yilin Xia
    ,
  • Daphne Odekerken
    ,
  • ,
  • Bertram Ludäscher
Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution

Open access

Abstract

We propose a new layered visualization in PyArg for grounded labelings of abstract argumentation frameworks. Argument nodes are colored according to their label (IN, OUT, or UNDEC) and have a new length annotation, which is derived from provenance subgraphs. New edge annotations explain an attack-edge's role in determining the value (label) of nodes in an argumentation framework.

Bibliographic Information

Output type

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution

Original language

English

Pages from-to (Number of pages)

Pages 373-374 (2 pages)

Publication milestones

  • Published - 27/08/2024

Publication status

Published - 27/08/2024

Publisher

IOS Press BV

Publication series

  • Publication series name: Frontiers in Artificial Intelligence and Applications
    ISSN (Print): 0922-6389
    ISSN (Electronic): 1879-8314
    Volume: 388

ISBN (Electronic)

9781643685342

Publication IDs

  • Scopus: 85217067199

Host publication title

Computational Models of Argument - Proceedings of COMMA 2024

Host publication editors

  • Chris Reed
  • Matthias Thimm
  • Tjitze Rienstra