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An Intelligent Tutoring System for Teaching Battlefield Command Reasoning Skills

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: F30602-01-C-0190
Agency Tracking Number: O2-0020
Amount: $0.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Solicitation Year: N/A
Award Year: 2001
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
725 Concord Avenue
Cambridge, MA 02138
United States
DUNS: 115243701
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Dan Grecu
 Senior Scientist
 (617) 491-3474
Business Contact
 Greg Zacharias
Title: President
Phone: (617) 491-3474
Research Institution

Future military operations will increasingly rely on our ability to generate an accurate representation of the battlespace to relay this interpreted information to the warfighter. Our objective in this effort is to develop an Agent-based Semantic DataManagement and Visualization (ASDMV) system that provides Geographic Information System (GIS) services, sensor data interpretation and advanced event visualization to support situational awareness in Military Operations in Urban Terrain (MOUT). In Phase Iwe demonstrated the general feasibility of the approach in the context of a personnel rescue scenario. The ASDMV prototype supported sensor interpretation via interactive sensor agents using rule-based approaches, and efficient information delivery usingevent-centric visualization.In Phase II, we propose to expand ASDMV's capability for enhanced situation awareness by integrating robust GIS technologies for MOUT environment representation and state-of-the-art rule-based technology for sensor data interpretation. In addition toenhanced interpretation and visualization capabilities, ASDMV will provide high-level interfaces for rule management, and will support information interchange standards with external information environments, such as the JBI. While specifically designedfor the Smart Sensor Web, the enhanced ASDMV prototype will comply with DII-COE specifications, and will provide an expandable architecture for a wide range of sensor-based information fusion and visualization applications.

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

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