A new class of computer systems has emerged that makes extensive use of the fact that computers operate equally well in processing either numbers or symbols. The best known of these are the expert systems coming into wide use in industry. The research from which these systems are derived is called artificial intelligence. This article presents an overview of the field, with definitions, recommendations, and an example. A definition of terms is presented, followed by a brief history. Potential roles that a symbolic processing system might play are discussed, highlighting those that have been most successfully used. The discussion of tools includes an evaluation of the kinds of systems for which they seem to be best suited. The implementation effort is discussed in detail, because it has often been underestimated. Commitment of key personnel is a recurrent problem, and the evocation of key elements of the knowledge used represents an especially difficult problem. Therefore, the issues of knowledge acquisition and knowledge representation are discussed in some detail. Current arguments about the best language to use, such as the choice between Lisp and Prolog, are addressed. A practical example illustrates how various elements of the technology can be blended to achieve a useful autonomous underwater vehicle. The paper closes with a discussion of current research issues, including the types of machines being investigated. The strengths and potential of parallel architectures and neural net machines are briefly discussed, because of their potential impact on the field of all processing.

  • Availability:
  • Supplemental Notes:
    • Journal article
  • Authors:
    • Simmons, B
    • Chappell, S G
  • Publication Date: 1988-4

Media Info

  • Features: References;
  • Pagination: 29 p.
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00655632
  • Record Type: Publication
  • Source Agency: Maritime Technical Information Facility
  • Files: TRIS
  • Created Date: Jul 21 1994 12:00AM