Genie Inference Engine Rule Writer's Guide.

Abstract

An expert system is a program that mimics the performance of a human expert in some intellectual endeavor. The inference engine is the heart of the expert system. Genie (GENeric Inference Engine) is a rule-based expert system shell that was initially developed as the basis of an expert system to assist human experts in assessing the vulnerability of turbine jet engines. It is also being used to guide statisticians in performing non-para-metric analyses. The program is best suited for diagnostic and classification problems. The report is intended for the person creating a knowledge base to be used by Genie. A sample knowledge base will be built to show how Genie's various keywords work and how production rules are written. Detailed definitions and restrictions of the keywords, two sample knowledge bases, and sample runs are presented in the appendices. A glossary is included to explain the terms used. An inference engine shell will aid the development of future expert systems, while the expert systems themselves will make the vulnerability analysts's job much easier. This guide will enable anyone to create his own expert system.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1987
Accession Number
ADA185709

Entities

People

  • Frederick S. Brundick

Organizations

  • Ballistic Research Laboratory

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Classification
  • Computer Languages
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Debugging
  • Engines
  • Expert Systems
  • Geometry
  • Identification
  • Inference Engines
  • Jet Engines
  • Lisp Programming Language
  • Operating Systems
  • Security

Fields of Study

  • Engineering

Readers

  • Database Systems and Applications
  • Organizational Process Management (OPM).
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Information Retrieval