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Proceedings Paper

Automated decision-making in advanced airborne early warning systems: analysis, design, and simulation
Author(s): Chien Y. Huang; Manikant D. Lodaya
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Paper Abstract

Preliminary results of applying automated decision-making techniques for airborne early warning purposes are presented. The approach is based on modeling operator's decision process and representing in form of procedural knowledge. These techniques are embodied in Threat Assessment and Tactical Planning modules and they are demonstrated using an advanced simulation facility. Simulation results show that decision automation is a valuable tool in an airborne early warning environment

Paper Details

Date Published: 1 January 1990
PDF: 12 pages
Proc. SPIE 1293, Applications of Artificial Intelligence VIII, (1 January 1990); doi: 10.1117/12.21134
Show Author Affiliations
Chien Y. Huang, Grumman Aircraft Systems (United States)
Manikant D. Lodaya, Grumman Aircraft Systems (United States)

Published in SPIE Proceedings Vol. 1293:
Applications of Artificial Intelligence VIII
Mohan M. Trivedi, Editor(s)

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