Visualizing the Extension Space of Abstract Argumentation Frameworks Using Clustering Methods
From International Center for Computational Logic
Visualizing the Extension Space of Abstract Argumentation Frameworks Using Clustering Methods
Master's thesis by Mei Yang
- Supervisor Sebastian Rudolph, Sarah Alice Gaggl
- Logische Programmierung und Argumentation
- 1 Juli 2020 – 27 Februar 2021
Abstract argumentation is a very active research area in the field of argumentation. Currently, its visualization methods focus on displaying the details of every single argumentation extension in isolation. In this thesis, we present a new visualization approach, which clusters argumentation extensions based on how much they overlap and provides an overview of the whole space of extensions. Our implementation, called Neva, visualizes not only the extensions in low-dimensional spaces but also the argument corre- lation and argument distribution. Our application shows that clustering on argumentation extensions is feasible.
