Distributed Battle Management Techniques

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$70,000.00
Award Year:
2003
Program:
SBIR
Phase:
Phase I
Contract:
N0017803C3105
Award Id:
64044
Agency Tracking Number:
031-1490
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1235 Jefferson Davis Highway, Suite 400, Arlington, VA, 22202
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
036593457
Principal Investigator:
Mark Frymire
Senior Engineer
(703) 414-5139
mark.e.frymire@dac.us
Business Contact:
Kelly McClelland
Manager, Business Ops
(703) 414-5023
kelly.mcclelland@dac.us
Research Institute:
n/a
Abstract
In the future Ballistic Missile Defense system, it will be necessary to coordinate the operations of many geographically dispersed system components to create an architecture with the best chance for defeating the threat. Though challenging, it is desiredthat this architecture be implemented in a distributed manner to avoid the need for a centralized controller to which all sensors transmit all of their information for processing and decision-making. In the research effort proposed here, the DecisiveAnalytics Corporation Team will implement a distributed C2BMC inference architecture using a framework called Multiply-Sectioned Bayesian Networks. Using this approach, which is based on recent advances in the artificial intelligence literature, it ispossible to decompose a unified Bayesian Network into subcomponents that operate at different locations, while exchanging data to maintain global consistency. Our implementation will employ the actual system models under development for Project Hercules,and we will assess computational performance with respect to various implementations of these cases.This background research will result in the development of a distributed multi-source fusion engine for inference. Potential application includes use in military command and control systems, and other decision support systems that involve time-criticaldecision-making under uncertainty, including crisis monitoring, and medical applications.

* information listed above is at the time of submission.

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