Search. A Section of the Handbook of Artificial Intelligence

Abstract

In the Handbook we intend to cover the breadth and depth of Al, presenting general overviews of the scientific issues, as well as detailed discussions of particular techniques and important Al systems. Throughout we have tried to keep in mind the reader who is not a specialist in Al. As the cost of computation continues to fall, new areas of application of computers become potentially viable. For many of these areas, there do not exist mathematical 'cores' to structure calculational use of the computer. Such areas will inevitably be served by symbolic models and symbolic inference techniques. Yet those who understand symbolic computation have been speaking largely to themselves for twenty years. We feel that it is urgent for Al to 'go public' in the manner intended by the Handbook. Several other writers have recognized a need for more widespread knowledge of Al and have attempted to help fill the vacuum. Lay reviews, in particular Margaret Boden's Artificial Intelligence and Natural Man, have tried to explain what is important and interesting about Al, and how research in Al progresses through our programs. In addition, there are a few textbooks that attempt to present a more detailed view of selected areas of Al, for the serious student of computer science. But no textbook can hope to describe all of the sub-areas, present brief explanations of the important ideas and techniques, and review the 40 or 50 most important Al systems.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1979
Accession Number
ADA074078

Entities

People

  • Anne Gardner

Organizations

  • Stanford University

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • C4I
  • Cyber
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Geometry
  • Heuristic Methods
  • Information Processing
  • Language
  • Law
  • Machine Learning
  • Operations Research
  • Self Organizing Systems
  • Systems Engineering
  • Trees (Data Structures)

Readers

  • Business Analytics
  • Educational Psychology
  • Systems Analysis and Design

Technology Areas

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