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dc.contributor.authorSchocken, Shimon-
dc.contributor.authorFinin, Tim-
dc.date.accessioned2006-02-14T15:45:55Z-
dc.date.available2006-02-14T15:45:55Z-
dc.date.issued1989-07-
dc.identifier.urihttp://hdl.handle.net/2451/14441-
dc.description.abstractOne of the key challenges in designing expert systems is a credible representation of uncertainty and partial belief. During the past decade, a number of rule-based belief languages were proposed and implemented in applied systems. Due to their quasi-probabilistic nature, the external validity of these languages is an open question. This paper discusses the theory of belief revision in expert systems through a canonical belief calculus model which is invariant across different languages. A meta-interpreter for non-categorical reasoning is then presented. The purposes of this logic model is twofold: first, it provides a clear and concise conceptualization of belief representation and propagation in rule-based systems. Second, it serves as a working shell which can be instantiated with different belief calculi. This enables experiments to investigate the net impact of alternative belief languages on the external validity of a fixed expert system.en
dc.format.extent5812495 bytes-
dc.format.mimetypeapplication/pdf-
dc.languageEnglishEN
dc.language.isoen_US-
dc.publisherStern School of Business, New York Universityen
dc.relation.ispartofseriesIS-89-069-
dc.titleMETA-INTERPRETERS FOR RULE-BASED REASONING UNDER UNCERTAINTYen
dc.typeWorking Paperen
dc.description.seriesInformation Systems Working Papers SeriesEN
Appears in Collections:IOMS: Information Systems Working Papers

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