Course-of-Action Forecasting

Award Information
Agency: Department of Defense
Branch: Army
Contract: W9132V-05-C-0004
Agency Tracking Number: A043-145-3466
Amount: $69,999.00
Phase: Phase I
Program: SBIR
Awards Year: 2005
Solitcitation Year: 2004
Solitcitation Topic Code: A04-145
Solitcitation Number: 2004.3
Small Business Information
DECISIVE ANALYTICS CORP.
1235 South Clark Street, Suite 400, Arlington, VA, 22202
Duns: 036593457
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 James Nolan
 Principal Investigator
 (703) 414-5002
 jim.nolan@dac.us
Business Contact
 Kelly McClelland
Title: Manager, Business Operations
Phone: (703) 414-5024
Email: kelly.mcclelland@dac.us
Research Institution
N/A
Abstract
The Army Commander is currently overwhelmed with data and lacks techniques to turn this information into actionable intelligence. This "data rich, knowledge poor" environment requires the appropriate set of tools to parse the incoming data stream, identify concepts and their relationships, and turn it into knowledge - enabling the Commander to forecast the enemy's possible courses-of-action. The DAC Team proposes an Intelligent Agent solution to this problem. Our approach includes agents that perform natural language and ontology processing, spatio-temporal data mining, resource management and prioritization, and hypothesis management of possible courses-of-action through the use of Bayesian Networks. The approach is built on DAC's Agent Intelligence Platform (AIP), a distributed agent architecture that provides information fusion capabilities. This SBIR will extend AIP through the development of capabilities to support: spatio-temporal data mining, automated Bayesian Network management, and a "Value of Information" calculation providing the Commander with a measurement of the value of gathering additional information against a hypothesis versus acting on the current belief state.

* information listed above is at the time of submission.

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