TATR (Tactical Air Target Recommender): A Prototype Expert System for Tactical Air Targeting

Abstract

Rand has developed a prototype expert system to help tactical air targeteers select and prioritize airfields and target elements on those airfields. The system, The tactical air target recommender (TATR), applies a knowledge-engineering problem-solving approach in which human domain knowledge is essential, and judgment, experience, and intuition play a larger role than mathematical algorithms and stochastic formalisms (although these are also used as appropriate to aid the targeteer). Based on information provided by experienced Air Force tactical air targeteers, TATR performs the following tasks under the interactive direction of a user: preferential ordering of enemy airfields; determination of the targets to attack on those airfields; and identification of weapon systems that are effective against those targets.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1984
Accession Number
ADA146792

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

  • Instructional Design and Training Evaluation.
  • Irregular Warfare and Special Operations Cyberspace Operations against Adversarial Threats.
  • Missile Defense Systems.