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Title: 

META-INTERPRETERS FOR RULE-BASED REASONING UNDER UNCERTAINTY

Authors: Schocken, Shimon
Finin, Tim
Issue Date: Jul-1989
Publisher: Stern School of Business, New York University
Series/Report no.: IS-89-069
Abstract: One 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.
URI: http://hdl.handle.net/2451/14441
Appears in Collections:IOMS: Information Systems Working Papers

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