DocumentCode :
3196271
Title :
Intelligent agent-based software architecture for combat performance under overwhelming information inflow and uncertainty
Author :
Hicks, LCDR D Jeffrey ; Stoyen, Alexander D. ; Zhu, Quiming
Author_Institution :
Nebraska Univ., Omaha, NE, USA
fYear :
2001
fDate :
2001
Firstpage :
200
Lastpage :
210
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
Keywords :
Bayes methods; differential games; military computing; software agents; software architecture; underwater vehicles; Bayesian method; combat performance; counter detection; decision making aid; differential game modeling; intelligent agent; military submarine operations; software architecture; training; war; Bayesian methods; Data analysis; Decision making; Game theory; Intelligent agent; Scattering; Software architecture; Software testing; Uncertainty; Underwater vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering of Complex Computer Systems, 2001. Proceedings. Seventh IEEE International Conference on
Conference_Location :
Skovde
Print_ISBN :
0-7695-1159-7
Type :
conf
DOI :
10.1109/ICECCS.2001.930179
Filename :
930179
Link To Document :
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