TATR: A Prototype Expert System for Tactical Air Targeting

Abstract

With the support of the Information Processing Techniques Office of the Defense Advanced Research Projects Agency, Rand has studied the issue of adapting new technology in the field of artificial intelligence to the problem of Air Force tactical planning. The study focused on the possibility of using the tools and techniques of knowledge engineering to construct an intelligent assistant "expert system" for tactical air targeting. This report describes a prototype version of such an expert system: the tactical air target recommender (TATR), developed by Rand with input from professional Air Force targeting personnel. .Although only a step in an evolutionary development, this version of TATR should be of interest to tactical planners and practitioners and to researchers developing either expert systems or aids for tactical planning.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1984
Accession Number
ADA595243

Entities

People

  • Donald A. Waterman
  • James R. Kipps
  • Monti Callero

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Air Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aerial Warfare
  • Air Force
  • Aircrafts
  • Artificial Intelligence
  • C Programming Language
  • Computer Programming
  • Computer Programs
  • Defense Suppression
  • Expert Systems
  • Pol Storage
  • Programming Languages
  • Statistical Data
  • Test And Evaluation
  • Warfare
  • Weapon Delivery
  • Weapon Systems
  • Weapons Effects

Fields of Study

  • Engineering

Readers

  • Aerospace logistics and air mobility.
  • Artificial Intelligence
  • Neural Network Machine Learning.

Technology Areas

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