Advanced Information Management and Decision Making in Airborne Early Warning and Control (AEW&C) Training Systems,

Abstract

Fundamental concepts are developed for the application of information management and artificial intelligence-based decision making technology to current and future surveillance, command, control and communications (C3) training systems. Specific emphasis is placed upon Airborne Early Warning and Control (AEW&C) training systems using the E-3 Mission Simulator as the analysis example. Present Mission Simulator capabilities are discussed along with ongoing improvement programs. Training inadequacies and instructor workload problems are highlighted. Advanced information management and artificial intelligence techniques are proposed to overcome these and other training deficiencies and to increase instructor efficiency. Extensions of these techniques for operational system use are also presented. (Author)

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1987
Accession Number
ADP005593

Entities

People

  • E. L. Estochen
  • J. L. Bottomley
  • L. M. Rosa
  • M. J. Hebert

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Biomedical
  • Weapons Technologies

DTIC Thesaurus Topics

  • Airborne
  • Airborne Early Warning
  • Artificial Intelligence
  • Deficiencies
  • Efficiency
  • Instructors
  • Simulators
  • Surveillance
  • Training
  • Weapon Systems
  • Weapons
  • Workload

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Military Training and Readiness Simulation
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Fully Networked C3
  • Fully Networked C3 - Command and Control