Modelling accuracy and trustworthiness of explaining agents

DOI10.1007/978-3-030-88708-7_19OpenAlexW3203704788MaRDI QIDQ2148840

Alberto Termine, Fabio Aurelio D'Asaro, Giuseppe Primiero

Publication date: 24 June 2022

Full work available at URL: https://doi.org/10.1007/978-3-030-88708-7_19

zbMATH Keywords

accuracytrustworthinessexplainable AI

Mathematics Subject Classification ID

Logic in artificial intelligence (68T27)

Uses Software

• MCMAS
• PRMLT

Cites Work

• Unnamed Item
• A computationally grounded, weighted doxastic logic
• A logic for reasoning about time and reliability
• Interpretable machine learning: fundamental principles and 10 grand challenges
• mcmas: A Model Checker for Multi-agent Systems

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