Knowledge-Based Expert Systems: A Brief Bibliography

Abstract

A number of Artificial Intelligence (AI) systems have appeared in recent years whose approaches appear very fruitful for a wide variety of real- world tasks that are performed by knowledgeable (but not necessarily understanding) experts. In the interest of acquainting a wider audience to a representative sampling of these systems, and especially to the approaches they embody, the following selective reading list is proposed. These readings are not overly technical, and usually make their main points by way of examples of natural language dialog between a user and the expert AI system. Papers usually contain further references to related work and background material. The intended audience includes engineers (especially designers), social scientists, computer specialists without AI background, and other professionals. In the following, I have grouped papers roughly into categories, some of which contain specific systems while others are broader overviews or even general introductions to the wider field of AI. In the interest of being representative, a number of systems of approximately equal significance to those given hear have been omitted. The papers here do in fact refer to these others.

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Document Details

Document Type
Technical Report
Publication Date
Jun 26, 1981
Accession Number
ADA104793

Entities

People

  • Michael D. Rychener

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognitive Science
  • Computer Science
  • Computer Vision
  • Computer-Aided Design
  • Computers
  • Engineering
  • Expert Systems
  • Language
  • Mass Spectroscopy
  • Molecular Genetics
  • Natural Languages
  • New York
  • Pattern Recognition
  • Recognition
  • Simulations
  • Structural Engineering

Readers

  • Artificial Intelligence
  • Regression Analysis.
  • STEM Education

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy