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Layered Visualization of Argumentation Frameworks
Yilin Xia, Daphne Odekerken, Shawn Bowers, Bertram Ludäscher
373 - 374
10.3233/FAIA240346
Research Article
Frontiers in Artificial Intelligence and Applications
Volume 388: Computational Models of Argument
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.

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