Representation of Knowledge

Abstract

This report is the section of the Handbook of Artificial Intelligence about knowledge representation research. The Handbook is a compendium of articles about AI ideas, techniques, and systems intended for non-AI scientists, engineers, and students. The material in this report discusses the problems addressed in knowledge representation research in AI and suggests some ways of comparing the various representation schemes. Additional articles describe the AI representation techniques: logic, procedural representations, semantic nets, production systems, direct (analogical) representations, semantic primitives, and frames.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1980
Accession Number
ADA089073

Entities

People

  • Avron Barr
  • Edward A. Feigenbaum
  • James Davidson

Organizations

  • Stanford University

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • C4I

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Automata Theory
  • Cognition
  • Cognitive Science
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Grammars
  • Information Processing
  • Language
  • Linguistics
  • Natural Language Processing
  • Psychology
  • Systems Engineering

Readers

  • Artificial Intelligence
  • Library and Information Science

Technology Areas

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