Coherence, Belief Expansion and Bayesian Networks

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dc.creatorBovens, Luc
dc.creatorHartmann, Stephan
dc.date2000-03-08
dc.date.accessioned2026-07-07T03:16:02Z
dc.date.available2026-07-07T03:16:02Z
dc.descriptionWe construct a probabilistic coherence measure for information sets which determines a partial coherence ordering. This measure is applied in constructing a criterion for expanding our beliefs in the face of new information. A number of idealizations are being made which can be relaxed by an appeal to Bayesian Networks.
dc.description6 pages, 2 figures, paper presented at the 8th Intl. Workshop on Non-Monotonic Reasoning NMR'2000 (April 9-11), Breckenridge, Colorado
dc.identifierhttps://arxiv.org/abs/cs/0003041
dc.identifierhttp://arxiv.org/abs/cs/0003041
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/30201
dc.subjectArtificial Intelligence
dc.subjectLogic in Computer Science
dc.subjectF.4.0; G.3
dc.titleCoherence, Belief Expansion and Bayesian Networks
dc.typetext

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