Adapting Expert Systems to Behave Like Decision Support Systems

This study addresses the anomoly that exists between the acceptance of expert systems (ES) and decision support systems (DSS) technology. One of the limitations of ES is the inappropriate system style or interaction mode offered by the traditional ES. Most users want to have systems that they can control. DSS do offer users high control but suffer from bias due to the lack of inbuilt knowledge or explanation capabilities. This study looks at combining the best features of both technologies by adapting an existing ES to perform in a DSS style, with a focus on the feature of 'what-if' analysis. Metaprocessing was used to implement the changes without interference with the original knowledge base. The general principles and methods uncovered in this project are presented.

[1]  Edward H. Shortliffe,et al.  Adapting a Consultation System to Critique User Plans , 1983, Int. J. Man Mach. Stud..

[2]  Bruce G. Buchanan,et al.  The MYCIN Experiments of the Stanford Heuristic Programming Project , 1985 .

[3]  Efraim Turban,et al.  Integrating Expert Systems and Decision Support Systems , 1986, MIS Q..

[4]  Ben Shneiderman,et al.  Direct manipulation user interfaces for expert systems , 1987 .

[5]  Elias M. Awad,et al.  From decision support to expert systems , 1987, SIGCPR '87.

[6]  J.T.C. Teng,et al.  A unified architecture for intelligent DSS , 1988, [1988] Proceedings of the Twenty-First Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track.

[7]  S. Kumar,et al.  An expert system framework for forecasting method selection , 1988, [1988] Proceedings of the Twenty-First Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track.

[8]  A.S. Philippakis,et al.  Structured what if analysis in DSS models , 1988, [1988] Proceedings of the Twenty-First Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track.

[9]  F.-Y. Kuo,et al.  Combining expert systems and the Bayesian approach to support forecasting , 1988, [1988] Proceedings of the Twenty-First Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track.

[10]  Lawrence F. Young,et al.  Decision Support and Idea Processing Systems , 1988 .

[11]  Harbans Lal.  Engineering farm knowledge for a seamless decision support system / by Harbans Lal. , 1989 .

[12]  Douglas B. Bock,et al.  Management Information Systems: The Manager's View , 1989 .

[13]  Colin O. Benjamin,et al.  An intelligent decision support system for public sector investment programming , 1990 .

[14]  Michel Klein,et al.  Expert systems - a decision support approach with applications in management and finance , 1990, Insight series in artificial intelligence.

[15]  Efraim Turban,et al.  Decision Support and Expert Systems: Management Support Systems , 1990 .

[16]  Donald J. McCubbrey,et al.  Foundations of Business Systems , 1991 .

[17]  Barry G. Silverman,et al.  Judgment Error and Expert Critics in Forecasting Tasks , 1992 .