Modeling imprecise information and knowledge to improve explanability in AI

Prazo para submissão: Data não encontrada

Data de Notificação: 01/04/2025

Editora: Elsevier

Revista: Information Sciences

Link: https://www.sciencedirect.com/special-issue/204067/modeling-imprecise-information-and-knowledge-to-improve-explanability-in-ai

Detalhes:

Guest EditorsAngelo Ciaramella - Università degli Studi di Napoli Parthenope, ItalyCorrado Mencar - Università degli Studi di Bari Aldo Moro, ItalySusana Montes - Universidad de Oviedo, SpainStefano Rovetta - Università degli Studi di Genova, ItalyAims and scopeXAI lies at the intersection of different fields, which include, let alone Artificial Intelligence, Cognitive and Social Sciences, Human Computer Interaction, Philosophy and Psychology among others. The strong multi-disciplinary character