NEXAS: A Visual Tool for Navigating and Exploring Argumentation Solution Spaces

From International Center for Computational Logic

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NEXAS: A Visual Tool for Navigating and Exploring Argumentation Solution Spaces

Raimund DachseltRaimund Dachselt,  Sarah Alice GagglSarah Alice Gaggl,  Markus KrötzschMarkus Krötzsch,  Julián MéndezJulián Méndez,  Dominik RusovacDominik Rusovac,  Mei YangMei Yang
Raimund Dachselt, Sarah Alice Gaggl, Markus Krötzsch, Julián Méndez, Dominik Rusovac, Mei Yang
NEXAS: A Visual Tool for Navigating and Exploring Argumentation Solution Spaces
In Francesca Toni, eds., Proceedings of the 9th International Conference on Computational Models of Argument (COMMA 2022), volume 220146 of FAIA, 116-127, September 2022. IOS Press
  • KurzfassungAbstract
    Recent developments on solvers for abstract argumentation frameworks (AFs) made them capable to compute extensions for many semantics efficiently. However, for many input instances these solution spaces can become very large and incomprehensible. So far, for the further exploration and investigation of the AF solution space the user needs to use post-processing methods or handcrafted tools. To compare and explore the solution spaces of two selected semantics, we propose an approach that visually supports the user, via a combination of dimensionality reduction of argumentation extensions and a projection of extensions to sets of accepted or rejected arguments. We introduce the novel web-based visualization tool NEXAS that allows for an interactive exploration of the solution space together with a statistical analysis of the acceptance of individual arguments for the selected semantics, as well as provides an interactive correlation matrix for the acceptance of arguments. We validate the tool with a walk-through along three use cases.
  • Projekt:Project: CPECCeTINAVASScaDS.AI
  • Forschungsgruppe:Research Group: Logische Programmierung und ArgumentationLogic Programming and ArgumentationWissensbasierte SystemeKnowledge-Based Systems
@inproceedings{DGKMRY2022,
  author    = {Raimund Dachselt and Sarah Alice Gaggl and Markus Kr{\"{o}}tzsch
               and Juli{\'{a}}n M{\'{e}}ndez and Dominik Rusovac and Mei Yang},
  title     = {NEXAS: A Visual Tool for Navigating and Exploring Argumentation
               Solution Spaces},
  editor    = {Francesca Toni},
  booktitle = {Proceedings of the 9th International Conference on Computational
               Models of Argument (COMMA 2022)},
  series    = {FAIA},
  volume    = {220146},
  publisher = {IOS Press},
  year      = {2022},
  month     = {September},
  pages     = {116-127},
  doi       = {10.3233/FAIA220146}
}