Argumentation; Case-based reasoning; Legal reasoning; Strength of features; Computers; Case based; Casebased reasonings (CBR); New case; Relative strength; Similar case; Strength of feature; Case based reasoning
Résumé :
[en] Case-based reasoning (CBR) is broadly speaking a method of giving a verdict/decision on a new case query by comparing it with verdicts/decisions of known similar cases. Similarity of cases is determined either by best distance of the query case from the known cases and recently also using argumentation. The approach of this paper is not to rely on similarity or argumentation, but to use the entire set of known cases and their known verdicts to define the relative strength and importance of all the features involved in these cases. We then decide the verdict for the new case based on the strength of the features appearing in it.
Disciplines :
Sciences informatiques
Identifiants :
eid=2-s2.0-85140493271
Auteur, co-auteur :
YU, Liuwen ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PI VDT
GABBAY, Dov M. ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) ; King's College, London
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Case-Based Reasoning via Comparing the Strength Order of Features
Date de publication/diffusion :
2022
Nom de la manifestation :
4th International Workshop on Explainable and Transparent AI and Multi-Agent Systems, EXTRAAMAS 2022
Date de la manifestation :
9 May 2022 through 10 May 2022
Manifestation à portée :
International
Titre du périodique :
Lecture Notes in Computer Science
ISSN :
0302-9743
Maison d'édition :
Springer Science and Business Media Deutschland GmbH
Volume/Tome :
13283 LNAI
Pagination :
143-151
Peer reviewed :
Peer reviewed
Projet européen :
H2020 - 814177 - LAST-JD-RIoE - Law, Science and Technology Joint Doctorate: Rights of the Internet of Everything
Organisme subsidiant :
Horizon 2020 Framework Programme, H2020; H2020 Marie Skłodowska-Curie Actions, MSCA: 814177 CE - Commission Européenne European Union
