Efficient search for relevance explanations using MAP-independence in Bayesian networks

DOI10.1016/j.ijar.2023.108965OpenAlexW4380853321MaRDI QIDQ6178709

Concha Bielza, Enrique Valero-Leal, Pedro Larrañaga, Silja Renooij

Publication date: 4 September 2023

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2023.108965

zbMATH Keywords

relevancerobustnessBayesian networkdefeasible reasoningexplainabilityMAP-independence

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Cites Work

• A Bayesian method for the induction of probabilistic networks from data
• Adaptive probabilistic networks with hidden variables
• Persuasive contrastive explanations for Bayesian networks
• Explainable AI using MAP-independence
• Explanation in artificial intelligence: insights from the social sciences
• A two-phase method for extracting explanatory arguments from Bayesian networks
• Same-decision probability: a confidence measure for threshold-based decisions
• Motivating explanations in Bayesian networks using MAP-independence
• Divergence measures based on the Shannon entropy
• Bayesian Networks and Decision Graphs
• Explaining Bayesian Networks Using Argumentation
• Probabilistic Inference and Influence Diagrams
• Discrete Bayesian Network Classifiers
• Causes and Explanations: A Structural-Model Approach. Part II: Explanations
• The Kolmogorov-Smirnov Test for Goodness of Fit

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