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Proceedings Paper

Sentinel: An Expert System Decision Aid For A Command, Control And Communications Operator
Author(s): Daniel L. Tobat; Steven K. Rogers; Stephen E. Cross
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Paper Abstract

The growing complexity and quantity of information used in command, control and communications (C3) networks makes it essential to reduce the workload on the operators of these networks. SENTINEL is an expert system which functions as a decision aid for the strategic missile warning officer, using a simulation of a C3 network that involves multiple missile launches and up to 20 countries. In this research, a blackboard model expert system using rule bases and object oriented programming techniques was developed that permits SENTINEL to deal with uncertainty and offer several layers of explanation. SENTINEL deals with uncertainty by using Cohen's endorsement theory and the pattern recognition techniques of feature sets and prototypes. SENTINEL analyzes the causes of reported events into higher level, yet less precise forms to offer an abstract layer of explanation. The results are applicable to further expert system or decision aid development for C3 networks.

Paper Details

Date Published: 26 March 1986
PDF: 5 pages
Proc. SPIE 0635, Applications of Artificial Intelligence III, (26 March 1986); doi: 10.1117/12.964107
Show Author Affiliations
Daniel L. Tobat, Air Force Institute of Technology (United States)
Steven K. Rogers, Air Force Institute of Technology (United States)
Stephen E. Cross, Air Force Institute of Technology (United States)


Published in SPIE Proceedings Vol. 0635:
Applications of Artificial Intelligence III
John F. Gilmore, Editor(s)

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