A Bayesian approach to forward and inverse abstract argumentation problems

DOI10.1080/11663081.2022.2144830zbMath1517.68358OpenAlexW4309451575MaRDI QIDQ6040536

Beishui Liao, Hiroyuki Kido

Publication date: 17 May 2023

Published in: Journal of Applied Non-Classical Logics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/11663081.2022.2144830

zbMATH Keywords

inverse problemsBayesian statisticsmachine learninggenerative modelsabstract argumentation frameworksacceptability semantics

Mathematics Subject Classification ID

Bayesian inference (62F15) Logic in artificial intelligence (68T27) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items

A logical encoding for \(k\)-\(m\)-realization of extensions in abstract argumentation

Cites Work

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