Uncertainty-modeling Rules for Situational Awareness (URSA)

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911QY-10-C-0065
Agency Tracking Number: A2-4044
Amount: $729,666.00
Phase: Phase II
Program: SBIR
Awards Year: 2010
Solicitation Year: 2008
Solicitation Topic Code: A08-186
Solicitation Number: 2008.3
Small Business Information
Charles River Analytics Inc.
625 Mount Auburn Street, Cambridge, MA, -
DUNS: 115243701
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Peter Weyhrauch
 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. Modeling and Simulation can support these efforts by providing the ability to model the effects of new technologies and equipment on Ground Soldiers (GS) and Small Combat Units (SCU) in constructive simulations. An example of such a system is the Infantry Warrior Simulation (IWARS) being developed by RDECOM’s Natick Soldier Research, Development and Engineering Center. However, existing simulation-based analysis tools, such as IWARS, do not currently provide a means of modeling uncertainty in situation awareness (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 simulations 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 that can be readily integrated with constructive simulation environments such as IWARS.

* information listed above is at the time of submission.

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