Innovative Intelligent Agent and Cognitive Decision Aids Component Technology

Award Information
Agency: Department of Defense
Branch: Army
Contract: W15QKN-05-C-1180
Agency Tracking Number: A043-011-3462
Amount: $119,997.00
Phase: Phase I
Program: SBIR
Awards Year: 2005
Solicitation Year: 2004
Solicitation Topic Code: A04-011
Solicitation 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
 Mike Colony
 Principal Investigator
 (703) 414-5001
 mike.colony@dac.us
Business Contact
 Kelly McClelland
Title: Manager, Business Ops
Phone: (703) 414-5024
Email: kelly.mcclelland@dac.us
Research Institution
N/A
Abstract
The Army's Future Combat System (FCS) initiative aims to enable the army's transformation into a more strategically responsive force, capable of rapid deployment and effective operations in all types of military operations. Enabling this initiative is the concept of Net-Centric Warfare (NCW). The network-centric fires management component of FCS, however, faces the challenge of adequately processing the vast amounts of NCW-related data into meaningful knowledge as it pursues its objective of providing seamless integration, synchronization and optimization of fires and effects for assets within the FCS Unit of Action. The DAC team will address this challenge by applying innovative technologies to provide commanders with an intelligent, agent-based Fires Management System (FMS). We will accomplish this through three main objectives. First, we will implement an architecture that provides a component-based framework that allows for rapid configuration and deployment of intelligent, information-processing agents. Second, we will apply innovative techniques for information fusion that transform collected data into knowledge representations that can be used by decision support components. And finally, we will apply decision optimization and predictive analysis methods that effectively use the knowledge representation to emulate cognitive decision processes, thus providing decision support to consumer systems, commanders and fielded units

* information listed above is at the time of submission.

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