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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2451/14441
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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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