Intelligent Agent Technologies for Homeland Defense

Award Information
Agency: Department of Defense
Branch: Army
Contract: W15QKN-04-C-1038
Agency Tracking Number: A032-3198
Amount: $120,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2004
Solicitation Year: 2003
Solicitation Topic Code: A03-017
Solicitation Number: 2003.2
Small Business Information
TOYON RESEARCH CORP.
Suite A, 75 Aero Camino, Goleta, CA, 93117
DUNS: 054672662
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Nabil Alshurafa
 Analyst
 (805) 968-6787
 nalshurafa@toyon.com
Business Contact
 Marcella Lindbery
Title: Director of Contracts
Phone: (805) 968-6787
Email: mlindbery@toyon.com
Research Institution
N/A
Abstract
In future military operations, intelligence analysts will have access to unprecedented quantities of surveillance data. Toyon proposes to develop an architecture that employs "intelligent software agents" to reduce information overload for the operator by automating many of the intelligence processes. This architecture will also be robust with respect to changing network conditions. The architecture consists of three categories of intelligent software agents: User-Interface Agents, Task Agents, and Information Agents. The User-Interface Agents translate user commands into requests for the Task and Information Agents. The Task Agents automate many intelligence-analyst tasks by using data synthesis algorithms. The Information Agents respond to requests for data by searching the data sources at their network location, and fusing the accumulated information. The intelligent agent architecture will be developed using a simulated intelligence, surveillance, and reconnaissance sensor network. Toyon will demonstrate the system architecture using various formats of data sources produced by simulations which enable tracking with ground-moving-target-indicator (GMTI) radar, track-level fusion between multiple track databases, and multi-sensor data fusion. At the conclusion of Phase I, Toyon will demonstrate the system architecture using a simplified user interface and a small set of rules to govern the behavior of the Task Agents.

* information listed above is at the time of submission.

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