Artificial Intelligence Dialects of the Bayesian Belief Revision Language

17 Pages Posted: 31 Oct 2008

See all articles by Shimon Schocken

Shimon Schocken

affiliation not provided to SSRN

Paul R. Kleindorfer

University of Pennsylvania - Operations & Information Management Department; Paul Dubrule Professor of Sustainable Development & Distinguished Research Professor at INSEAD

Date Written: September 1989

Abstract

Rule-based expert systems must deal with uncertain data,subjective expert opinions, and inaccurate decision rules. Computer scientistsand psychologists have proposed and implemented a number of belief languages widely used in applied systems, and their normative validity is clearly an important question, both on practical as well on theoretical grounds. Several well-know belief languages are reviewed, and both previous work and new insights into their Bayesian interpretations are presented. Inparticular, the authors focus on three alternative belief-update models thecertainty factors calculus, Dempster-Shafer simple support functions, andthe descriptive contrast/inertia model. Important "dialects� of these languages are shown to be isomorphic to each other and to a special case ofBayesian inference. Parts of this analysis were carried out by other authors; these results were extended and consolidated using an analytic technique designed to study the kinship of belief languages in general.

Suggested Citation

Schocken, Shimon and Kleindorfer, Paul R., Artificial Intelligence Dialects of the Bayesian Belief Revision Language (September 1989). NYU Working Paper No. IS-87-073, Available at SSRN: https://ssrn.com/abstract=1289724

Shimon Schocken (Contact Author)

affiliation not provided to SSRN

No Address Available

Paul R. Kleindorfer

University of Pennsylvania - Operations & Information Management Department ( email )

Philadelphia, PA 19104
United States

Paul Dubrule Professor of Sustainable Development & Distinguished Research Professor at INSEAD

Boulevard de Constance
77305 Fontainebleau Cedex
France

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