Acquiring Probabilistic Knowledge for Information Fusion

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8750-06-C-0089
Agency Tracking Number: F061-065-0901
Amount: $99,999.00
Phase: Phase I
Program: SBIR
Awards Year: 2006
Solicitation Year: 2006
Solicitation Topic Code: AF06-065
Solicitation Number: 2006.1
Small Business Information
DECISIVE ANALYTICS CORPORATION
1235 South Clark Street, Suite 400, Arlington, VA, 22202
DUNS: 036593457
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 David Lee
 Senior Engineer
 (703) 414-5087
 david.lee@dac.us
Business Contact
 Kelly McClelland
Title: Director, Business Administration
Phone: (703) 414-5024
Email: kelly.mcclelland@dac.us
Research Institution
N/A
Abstract
Acquiring probabilistic knowledge for the development of fusion models can prove to be a difficult task. In many applications, the lack of availability of historical data forces the modelers to rely extensively on Expert Judgment techniques which traditionally requires a large amount of manpower and is exceedingly time-consuming. The DAC team proposes a novel approach to the knowledge elicitation process which will address these limitations through the development of an automated prototype system for the collection and analysis of probabilistic knowledge from Subject Matter Experts. Using traditional survey and estimation techniques in combination with non-parametric statistical tests, we aim to provide modelers with a computerized system for the development of Bayesian Inference Models to perform high-level information fusion. This method will build on DAC’s extensive expertise in Bayesian network design and integration with automated systems. The results of this effort will be an intuitive, robust prototype for knowledge elicitation which will pave the way for an online deployable tool to be implemented under future research.

* information listed above is at the time of submission.

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