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Uncertainty-modeling Rules for Situational Awareness (URSA)

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911QY-09-C-0031
Agency Tracking Number: A083-186-0049
Amount: $119,465.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: A08-186
Solicitation Number: 2008.3
Timeline
Solicitation Year: 2008
Award Year: 2009
Award Start Date (Proposal Award Date): 2009-01-20
Award End Date (Contract End Date): 2009-07-20
Small Business Information
625 Mount Auburn Street
Cambridge, MA 02138
United States
DUNS: 115243701
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Peter Weyhrauch, PhD
 Senior Scientist
 (617) 491-3474
 pweyhrauch@cra.com
Business Contact
 Ninos Hanna
Title: Contract Specialist
Phone: (617) 491-3474
Email: nhanna@cra.com
Research Institution
N/A
Abstract

To provide improved Collaborative Situation Awareness (CSA) and, ultimately, improve the Warfighter’s operational success, PEO Soldier is developing new equipment, technologies, and tactics, techniques and procedures (TTPs) that leverage the wealth of information available to Net-Centric Soldiers. To support these efforts, RDECOM’s Natick Soldier Research, Development and Engineering Center is developing the Infantry Warrior Simulation (IWARS) to provide the ability to model the effects of new technologies and equipment on Ground Soldiers (GS) and Small Combat Units (SCU) in constructive simulations. IWARS and similar simulation-based analysis tools, however, do not currently provide a means of modeling uncertainty in SA and the effect of uncertainty on the decision making process. To address this, we propose to design and demonstrate the feasibility of Uncertainty-modeling Rules for Situational Awareness (URSA), a unified rule-based representation of uncertainty and incomplete information that can be used in constructive simulation to determine the importance of information to critical GS decisions. URSA provides a transparent, understandable, and validatable model of uncertainty coupled with affordable, easy to use, and freely distributable modeling tools.

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

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