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Modeling and Simulation (M&S) Uncertainty Quantification Using an Ant Swarm Model

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0147-14-C-7718
Agency Tracking Number: B2-1985
Amount: $879,358.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: MDA12-T007
Solicitation Number: 2012.B
Timeline
Solicitation Year: 2012
Award Year: 2014
Award Start Date (Proposal Award Date): 2014-09-10
Award End Date (Contract End Date): 2016-09-09
Small Business Information
1300 S. Litchfield Road Box 1, Suite A1020
Goodyear, AZ -
United States
DUNS: 791391183
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Joseph Marvin
 Chief Systems Engineer
 (623) 853-0829
 joemarvin@psg-inc.net
Business Contact
 Sharon Marvin
Title: Director of Finance
Phone: (623) 853-0829
Email: sharonmarvin@psg-inc.net
Research Institution
 Frontline Foundation
 Murray
 
Three Dunwoody Park
Atlanta, GA 30338-
United States

 (678) 781-5241
 Domestic nonprofit research organization
Abstract

STTR Phase I Uncertainty Quantification (UQ) technical feasibility demonstration using advanced mathematical techniques and Biologically Inspired Computing Architecture (BICA) concepts is proposed for Phase II prototype development. UQ in complex System of Systems (SoS) M & S environments is emphasized in Phase II. Graph theory based M & S techniques are explored that enhance and facilitate topical UQ techniques to enrich the value delivered by M & S of complex systems. As systems become more complex, this deeper understanding of complex SoSs through the use of M & S and UQ is an imperative for informing early trades in the development lifecycle. Needs of decision makers are better served by quantitative Systems Engineering (SE) M & S and UQ techniques using a combination of mathematical and advanced methodologies presented. M & S challenges of performance, fidelity and approximations are joined with new challenges such as emergent behavior influenced by aleatoric and epistemic uncertainty. The Phase II proposes development of a UQ System Application for use in legacy and Graph theory based M & S techniques. The goal is to motivate a paradigm shift through a SE Community of Practice (COP) that delivers new levels of quantitative information and value from complex SoS M & S. Approved for Public Release 14-MDA-7739 (18 March 14).

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

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