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Please use this identifier to cite or link to this item: http://hdl.handle.net/2451/14476

Title: PROLOG META-INTERPRETERS FOR RULE-BASED INFERENCE UNDER UNCERTAINTY
Authors: Schocken, Shimon
Finin, Tim
Issue Date: Oct-1987
Publisher: Stern School of Business, New York University
Series/Report no.: IS-87-091
Abstract: Uncertain facts and inexact rules can be represented and processed in standard Prolog through meta-interpretation. This requires the specification of appropriate parsers and belief calculi. We present a meta-interpreter that takes a rule-based belief calculus as an external variable. The certainty-factors calculus and a heuristic Bayesian belief-update model are then implemented as stand-alone Prolog predicates. These, in turn, are bound to the meta-interpreter environment through second-order programming. The resulting system is a powerful experimental tool which enables inquiry into the impact of various designs of belief calculi on the external validity of expert systems. The paper also demonstrates the (well-known) role of Prolog meta-interpreters in building expert system shells.
URI: http://hdl.handle.net/2451/14476
Appears in Collections:IOMS: Information Systems Working Papers

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