%0 Book Section %1 Dachselt2022-mc %A Dachselt, Raimund %A Gaggl, Sarah Alice %A Krötzsch, Markus %A Méndez, Julián %A Rusovac, Dominik %A Yang, Mei %B Computational Models of Argument %D 2022 %I IOS Press %K %T NEXAS: A visual tool for navigating and exploring argumentation solution spaces %X 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.

@incollection{Dachselt2022-mc, abstract = {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.}, added-at = {2024-09-10T11:56:37.000+0200}, author = {Dachselt, Raimund and Gaggl, Sarah Alice and Kr{\"o}tzsch, Markus and M{\'e}ndez, Juli{\'a}n and Rusovac, Dominik and Yang, Mei}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/20eb77cd0a1b145d4ad4d4cb17ec8256c/scadsfct}, booktitle = {Computational Models of Argument}, interhash = {f895da0d8324a9d91d62f3c330900291}, intrahash = {0eb77cd0a1b145d4ad4d4cb17ec8256c}, keywords = {}, month = sep, publisher = {IOS Press}, series = {Frontiers in artificial intelligence and applications}, timestamp = {2024-09-10T15:15:57.000+0200}, title = {{NEXAS}: A visual tool for navigating and exploring argumentation solution spaces}, year = 2022 }