Prolog Meta-Interpreters for Rule-Based Inference Under Uncertainty

46 Pages Posted: 31 Oct 2008

See all articles by Shimon Schocken

Shimon Schocken

affiliation not provided to SSRN

Tim Finin

Independent

Date Written: October 1987

Abstract

Uncertain facts and inexact rules can be represented andprocessed in standard Prolog through meta-interpretation. Thisrequires the specification of appropriate parsers and beliefcalculi. We present a meta-interpreter that takes a rule-basedbelief calculus as an external variable. The certainty-factorscalculus and a heuristic Bayesian belief-update model are thenimplemented as stand-alone Prolog predicates. These, in turn,are bound to the meta-interpreter environment through second-orderprogramming. The resulting system is a powerfulexperimental tool which enables inquiry into the impact ofvarious designs of belief calculi on the external validity ofexpert systems. The paper also demonstrates the (well-known)role of Prolog meta-interpreters in building expert systemshells.

Suggested Citation

Schocken, Shimon and Finin, Tim, Prolog Meta-Interpreters for Rule-Based Inference Under Uncertainty (October 1987). NYU Working Paper No. IS-87-091, Available at SSRN: https://ssrn.com/abstract=1289731

Shimon Schocken (Contact Author)

affiliation not provided to SSRN

No Address Available

Tim Finin

Independent

No Address Available
United States

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