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Coherence, Belief Expansion and Bayesian Networks
In C. Baral (ed.), Proceedings of the 8th International Workshop on Non-Monotonic Reasoning, NMR'2000 (2000)
Abstract
We 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.Author Profiles
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Citations of this work
Effective Field Theories, Reductionism and Scientific Explanation.Stephan Hartmann - 2001 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 32 (2):267-304.
On Correspondence.Stephan Hartmann - 2002 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 33 (1):79-94.
Believing more, risking less: On coherence, truth and non-trivial extensions.Luc Bovens & Erik J. Olsson - 2002 - Erkenntnis 57 (2):137 - 150.
Belief Expansion, Contextual Fit and the Reliability of Information Sources.Stephan Hartmann & L. Bovens - 2001 - In Varol Akman (ed.), Modeling and Using Context (Lecture Notes in Artificial Intelligence 2116). Springer. pp. 421-424.
A dynamic interaction between machine learning and the philosophy of science.Jon Williamson - 2004 - Minds and Machines 14 (4):539-549.
References found in this work
The structure of empirical knowledge.Laurence BonJour - 1985 - Cambridge, Mass.: Harvard University Press.
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference.Judea Pearl - 1988 - Morgan Kaufmann.
The Epistemology of Belief and the Epistemology of Degrees of Belief.Richard Foley - 1992 - American Philosophical Quarterly 29 (2):111 - 124.
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