An evaluation of probabilistic approaches to inference to the best explanation

DOI10.1016/j.ijar.2018.09.004zbMath1448.68416OpenAlexW2892063245WikidataQ129229082 ScholiaQ129229082MaRDI QIDQ1726282

David H. Glass

Publication date: 20 February 2019

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

Full work available at URL: https://pure.ulster.ac.uk/en/publications/bfa0ed36-87ca-420f-86f7-c2ff9004fdbe

zbMATH Keywords

computer simulationexplanationabductionBayesian

Mathematics Subject Classification ID

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

Related Items

Competing hypotheses and abductive inference, Optimizing group learning: an evolutionary computing approach

Cites Work

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• Inference to the best explanation: does it track truth?
• Most probable explanations in Bayesian networks: complexity and tractability
• Probabilistic Horn abduction and Bayesian networks
• Coherence measures and inference to the best explanation
• Most frugal explanations in Bayesian networks
• Probability and the Explanatory Virtues
• Abductive Inference