The Art of Artificial Intelligence. 1. Themes and Case Studies of Knowledge Engineering

Abstract

The knowledge engineer practices the art of bringing the principles and tools of AI research to bear on difficult applications problems requiring experts' knowledge for their solution. The technical issues of acquiring this knowledge, representing it, and using it appropriately to construct and explain lines-of-reasoning, are important problems in the design of knowledge-based systems. Various systems that have achieved expert level performance in scientific and medical inference illuminate the art of knowledge engineering and its parent science, Artificial Intelligence.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1977
Accession Number
ADA046289

Entities

People

  • Edward A. Feigenbaum

Organizations

  • Stanford University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognitive Science
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Diseases And Disorders
  • Engineering
  • Inference Engines
  • Information Processing
  • Intelligent Agents
  • Mass Spectrometry
  • Medical Personnel
  • Psychology
  • Respiration Disorders
  • Spectra
  • Spectrometry

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Systems Analysis and Design

Technology Areas

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