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Decision Making Under Uncertainty

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0147-14-C-7922
Agency Tracking Number: B13B-001-0147
Amount: $99,929.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: MDA13-T001
Solicitation Number: 2013.B
Solicitation Year: 2013
Award Year: 2014
Award Start Date (Proposal Award Date): 2014-07-08
Award End Date (Contract End Date): 2015-02-09
Small Business Information
600 West Cummings Park Suite 6500
Woburn, MA -
United States
DUNS: 964928464
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Shozo Mori
 Member, Technical Staff
 (408) 530-8105
Business Contact
 Melinda Wood
Title: Director, Business Operations
Phone: (603) 718-9800
Research Institution
 George Mason University
 Carol-Ann Courtney
Office of Sponsored Programs 4400 University Drive, MS 4C6
Fairfax, VA 22030-
United States

 (703) 993-2297
 Nonprofit college or university

The proposed effort will develop a new approach to characterize and analyze multiple-sensor decision making under uncertainty. The major focus will be on the decision architecture involving multiple Ballistic Missile Defense (BMD) elements and the evaluation of the performance of various decision architectures for ballistic missile object discrimination. The proposed method will provide a well-defined performance measure to evaluate the decision making architecture and to analyze the errors that are inherent to sensor and inference systems in various decision architectures. The proposed study will use the hierarchical Bayesian inference method using effective implementation of discrete-continuous-variable Bayesian network inference algorithm developed at George Mason University, Department of Systems Engineering and Operations Research. We will develop information fusion algorithms using different fusion architectures, and evaluate their performance in Phase I. Approved for Public Release 14-MDA-7979 (16 September14).

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

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