Cognitive Fusion

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8750-08-C-0201
Agency Tracking Number: F071-083-1138
Amount: $1,690,230.00
Phase: Phase II
Program: SBIR
Awards Year: 2008
Solicitation Year: 2007
Solicitation Topic Code: AF071-083
Solicitation Number: 2007.1
Small Business Information
3600 Green Court, Suite 600, Ann Arbor, MI, 48105
DUNS: 009485124
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Alan Vayda
 Research Scientist
 (734) 327-8000
Business Contact
 James Rosbe
Title: President and CEO
Phone: (734) 327-8000
Research Institution
Providing a dominant response to terrorism and insurgent-driven asymmetric wars is a complex problem and is accelerating demand for high-quality multi-INT fused Intelligence, Surveillance, and Reconnaissance (ISR) products. Soar Technology, Inc. and the Lockheed Martin Co. propose to significantly advance the state of the art in level 1 multi-INT data fusion by developing a novel technology that will significantly extend the length of high purity, multi-INT, fusion tracks for both real-time and forensic applications. The proposed Cognitive Fusion technology is a hybrid fusion system that provides long tracks at high purity with high confidence. We will achieve this innovation by integrating quantitative observations (such as those produced by typical kinematic trackers) and qualitative abstractions of the environment. This hybrid computation is achieved by balancing relatively slow, but contextually rich, cognitive agent reasoning with a fast, but knowledge poor, fusion algorithm. An agent imbued with rich knowledge of the domain, mission, and analyst hypotheses will bring more knowledge and algorithms to multi-INT fusion in comparison to strictly quantitative kinematic processors. Our primary technical deliverable will be a hybrid fusion system for real-time and forensic multi-track correlation and data association. The centerpiece of this fusion system will be a Cognitive Fusion Module that incorporates a software agent and data manager to implement a novel knowledge representation and reasoning algorithm for adversarial behavior recognition.

* Information listed above is at the time of submission. *

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