In this section
@inproceedings{Rapberger:2024:10.3233/FAIA240323,
author = {Rapberger, A and Toni, F},
doi = {10.3233/FAIA240323},
pages = {217--228},
publisher = {IOS Press, Inc.},
title = {On the robustness of argumentative explanations},
url = {http://dx.doi.org/10.3233/FAIA240323},
year = {2024}
}
TY - CPAPER
AB - The field of explainable AI has grown exponentially in recent years.Within this landscape, argumentation frameworks have shown to be helpful ab-stractions of some AI models towards providing explanations thereof. While exist-ing work on argumentative explanations and their properties has focused on staticsettings, we focus on dynamic settings whereby the (AI models underpinning the)argumentation frameworks need to change. Specifically, for a number of notionsof explanations drawn from abstract argumentation frameworks under extension-based semantics, we address the following questions: (1) Are explanations robust toextension-preserving changes, in the sense that they are still valid when the changesdo not modify the extensions? (2) If not, are these explanations pseudo-robust inthat can be tractably updated? In this paper, we frame these questions formally. Weconsider robustness and pseudo-robustness w.r.t. ordinary and strong equivalenceand provide several results for various extension-based semantics.
AU - Rapberger,A
AU - Toni,F
DO - 10.3233/FAIA240323
EP - 228
PB - IOS Press, Inc.
PY - 2024///
SP - 217
TI - On the robustness of argumentative explanations
UR - http://dx.doi.org/10.3233/FAIA240323
UR - https://ebooks.iospress.nl/doi/10.3233/FAIA240323
UR - http://hdl.handle.net/10044/1/113760
ER -