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Seventh IEEE International Conference on Engineering of Complex Computer Systems (ICECCS'01)
Intelligent Agent-Based Software Architecture for Combat Performance under Overwhelming Information Inflow and Uncertainty
Sk?vde, Sweeden
June 11-June 13
ISBN: 0-7695-1159-7
LCDR Jeffrey D. Hicks, US Navy at USSTRATCOM
Dr. Alexander D. Stoyen, University of Nebraska at Omaha
Dr. Quiming Zhu, University of Nebraska at Omaha
Abstract: In the highly dynamic and information rich environment of military submarine operations, the Commanding Officer must make split second decisions that could ultimately result in the destruction or survival of Ownship or the accomplishment of its designated mission. Despite extensive training and expertise, the fog of war often shadows real world encounters. Pieces of the tactical puzzle may be scattered, broken, and/or even missing. It is the Commanding Officer's job to meld the fog into a clear tactical picture and intuitively decide upon the optimal course of action to obtain his mission goals and objectives. A mathematically derived optimal solution could be used as a decision making aid for the Commanding Officer to enhance Ownship's performance. A highly innovative hybrid Bayesian/differential game modeling approach is being developed to tackle this problem. The resulting theory and technology will facilitate tactical operations by addressing such practical problems as tradeoff evaluation for course of action and maintaining tactical advantage while avoiding counter detection.
Citation:
LCDR Jeffrey D. Hicks, Dr. Alexander D. Stoyen, Dr. Quiming Zhu, "Intelligent Agent-Based Software Architecture for Combat Performance under Overwhelming Information Inflow and Uncertainty," iceccs, pp.0200, Seventh IEEE International Conference on Engineering of Complex Computer Systems (ICECCS'01), 2001
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