LG Technology Innovative Research, Streamlining Scenario Generation Across a System of Systems Simulation Enterprise

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0147-18-C-7321
Agency Tracking Number: B2-2622
Amount: $998,911.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: MDA16-006
Solicitation Number: 2016.2
Solicitation Year: 2016
Award Year: 2018
Award Start Date (Proposal Award Date): 2018-05-01
Award End Date (Contract End Date): 2020-04-30
Small Business Information
3773 Cherry Creek North Drive, Suite 575, Denver, CO, 80209
DUNS: 121936608
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Dr. Vladimir Yakhnis
 (303) 809-0205
Business Contact
 Dr. Boris Stilman
Phone: (303) 717-2110
Email: boris@stilman-strategies.com
Research Institution
To enhance Operational Test (OT) fidelity, increase automation, and shorten the testing process, the Missile Defense Agency (MDA) seeks innovative research efforts to develop scenario generation technologies. STILMAN proposes to conduct novel research to develop a highly automated and composable scenario generation toolset. Currently, in the distributed system of systems Operational Testing enterprise, high impact opportunities exist to apply scenario composition tools, develop a common data repository, and to replace numerous manual processes with automated, machine readable data exchanges between test participants. By integrating STILMANs unique Linguistic Geometry (LG) based technology with a shared data repository, a lightweight front end scenario generation toolset can be developed to increase automation within the test process.Initial research will focus on automated scenario composition and the early simulation of key test conditions to decrease test preparation timelines and enable the test stakeholders to confirm that the analysis goals, system performance models, criteria data, data repositories and inter-system messaging are sufficient to achieve the desired test fidelity. Numerous commercial testing enterprises in the automotive, aviation, and robotics industries could benefit from this design approach and the test tool framework.Approved for Public Release | 18-MDA-9522 (23 Feb 18)

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

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