Expert Systems and Command, Control, and Communication System Acquisition

Abstract

This thesis examines the organizational causes of the Department of Defense's (DoD) inability to acquire working defense systems. One major cause of this is identified as a lack of a sufficient number of trained and experienced acquisition personnel. An examination of the definitions of Decision Support and Expert Systems is made to determine their suitability for application to this problem. The information system framework of Gorry and Scott Morton is used to structure the acquisition problem. The DoD acquisition problem is found to be a good candidate for the application of expert systems. An expert system architecture is developed to provide acquisition personnel both technical and management support. Use of a central mainframe, connected to the Defense Data Network will provide nationwide access, with centralized control of the knowledge base. The architecture allows for the incorporation of existing conventional software under expert software control. In order to reduce development cost and time, the use of existing DoD manuals, as the knowledge base, is proposed. A prototype module, utilizing the M.1 expert shell and DoD manual 4245.7-M and NAVSO P-6071 is developed to prove the feasibility of this approach.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1989
Accession Number
ADA209325

Entities

People

  • James E. Minnema

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Engineered Resilient Systems
  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Business Administration
  • Computer Programming
  • Computer Programs
  • Computers
  • Decision Support Systems
  • Defense Systems
  • Engineers
  • Information Systems
  • Mainframe Computers
  • Maintenance
  • Management Personnel
  • Military Acquisition
  • Organizational Structure
  • Software Development
  • Systems Engineering
  • Systems Management

Fields of Study

  • Engineering

Readers

  • Artificial Intelligence
  • Computer Science.
  • Defense Acquisition Program Management