Document Type
Conference Proceeding
Publication Title
Computational Models of Argument: Proceedings of COMMA 2024 (Frontiers in Artificial Intelligence and Applications)
Editors
Chris Reed, Matthias Thimm, Tjitze Rienstra
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.
Pages
373-374
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DOI
https://doi.org/10.3233/FAIA240346
Publisher
IOS Press
Volume
388
Publication Date
9-2024
Keywords
abstract argumentation, grounded semantics, visual explanation
Disciplines
Computer Sciences
ISBN
9781643685359
Recommended Citation
Xia, Y., Odekerken, D., Bowers, S., & Ludäscher, B.. (2024). Layered Visualization of Argumentation Frameworks. In C. Reed, M. Thimm, & T. Rienstra (Eds.), Computational Models of Argument - Proceedings of COMMA 2024 (pp. 373–374). 2024 International Conference on Computational Models of Argument, COMMA 2024, Hagen. IOS Press BV. https://doi.org/10.3233/FAIA240346
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Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Comments
This content was originally presented at the 2024 International Conference on Computational Models of Argument (COMMA), held from September 18-20, 2024, in Hagen, Germany.