Justifications derived from inconsistent case bases using authoritativeness

Autor: Peters, Joeri GT, Bex, Floris J, Prakken, Henry, Čyras, Kristijonas, Kampik, Timotheus, Cocarascu, Oana, Rago, Antonio, Sub Intelligent Systems, Intelligent Systems

Publikováno v: Proceedings of the 1st International Workshop on Argumentation for eXplainable AI (ArgXAI 2022) co-located with 9th International Conference on Computational Models of Argument (COMMA 2022) Cardiff, Wales, September 12, 2022., 3209, 1. CEUR WS

Post hoc analyses are used to provide interpretable explanations for machine learning predictions made by an opaque model. We modify a top-level model (AF-CBA) that uses case-based argumentation as such a post hoc analysis. AF-CBA justifies model pre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::d70ea594956284c87f4aa2802dd575b2
https://dspace.library.uu.nl/handle/1874/424498