Uncertainty in Artificial Intelligence
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Parallel Belief Revision
Daniel Hunter
This paper describes a formal system of belief revision developed by Wolfgang Spohn and shows that this system has a parallel implementation that can be derived from an influence diagram in a manner similar to that in which Bayesian networks are derived. The proof rests upon completeness results for an axiomatization of the notion of conditional independence, with the Spohn system being used as a semantics for the relation of conditional independence.
Keywords: null
Pages: 241-251
PS Link:
PDF Link: /papers/88/p241-hunter.pdf
AUTHOR = "Daniel Hunter ",
TITLE = "Parallel Belief Revision",
BOOKTITLE = "Uncertainty in Artificial Intelligence 4 Annual Conference on Uncertainty in Artificial Intelligence (UAI-88)",
PUBLISHER = "Elsevier Science",
ADDRESS = "Amsterdam, NL",
YEAR = "1988",
PAGES = "241--251"

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