A Prototype Knowledge-Based System for Developing Acquisition Strategies.

Abstract

The acquisition strategy is one of the most important program management documents. The diverse nature of the information required in an acquisition strategy, coupled with frequent changes in acquisition policy and normal loss of organizational expertise in a military environment, create significant problems for the developer of an acquisition strategy. This thesis demonstrates the effectiveness of applying knowledge-based system techniques to the problem of developing acquisition strategies for government procurements. The need for automated assistance for generating an acquisition strategy is examined, and the reasons why conventional programming techniques are inadequate for this problem are discussed. The development of a prototype knowledge-based system using Guru is outlined, and an evaluation of the system is presented. The prototype system addresses Non-Developmental Item procurements, and two of the thirteen required acquisition strategy paragraphs are implemented. This thesis concluded that a knowledge-based intelligent assistant could provide significant benefit to developers of an acquisition strategy. Possible enhancements to extend the prototype and potential areas of further research are also discussed.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1988
Accession Number
ADA190684

Entities

People

  • Robert J. Hammell Ii

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Energy and Power Technologies
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computer Programming
  • Computer Programs
  • Computers
  • Contracts
  • Engineering
  • Engineers
  • Expert Systems
  • Government Procurement
  • Governments
  • Information Systems
  • Knowledge Based Systems
  • Procurement
  • Program Management
  • Prototypes
  • Systems Management
  • Test And Evaluation

Readers

  • Artificial Intelligence
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Instructional Design and Training Evaluation.