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Cognitive Fusion

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
81984
Program Year/Program:
2008 / SBIR
Agency Tracking Number:
F071-083-1138
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Soar Technology, Inc.
3600 Green Court Suite 600 Ann Arbor, MI 48105-2588
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2008
Title: Cognitive Fusion
Agency / Branch: DOD / USAF
Contract: FA8750-08-C-0201
Award Amount: $741,758.00
 

Abstract:

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.

Principal Investigator:

Alan J. Vayda
Research Scientist
7343278000
alan.vayda@soartech.com

Business Contact:

James Rosbe
President and CEO
7343278000
rosbe@soartech.com
Small Business Information at Submission:

SOAR TECHNOLOGY, INC.
3600 Green Court Suite 600 Ann Arbor, MI 48105

EIN/Tax ID: 383382261
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No