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TOPMAST: Training Operational Performance via Measure Automation and Scenario-generation Technology

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-18-C-0334
Agency Tracking Number: N18A-003-0136
Amount: $124,999.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N18A-T003
Solicitation Number: 2018.0
Solicitation Year: 2018
Award Year: 2018
Award Start Date (Proposal Award Date): 2018-04-26
Award End Date (Contract End Date): 2018-10-26
Small Business Information
12 Gill Street
Woburn, MA 01801
United States
DUNS: 967259946
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Alan Carlin
 (781) 496-2408
Business Contact
 Thomas McKenna
Phone: (781) 496-2443
Research Institution
 University of Massachusetts Amherst
 James Ayers
Mass Venture Center 100 Venture Way, Suite 201
Hadley, MA 01035
United States

 (413) 577-1594
 Nonprofit College or University

As the number of emerging warfare capabilities increases, adaptive training is required in order to keep pace with the corresponding increase in the scale and complexity of training regimes. To enable truly adaptive training, training systems need to both (1) automatically generate training scenarios and (2) automatically assess trainee performance. Lastly, (3) diagnostic visualization technologies must enable instructors and analysts to validate the outputs and processes of the complex automation technologies. TOPMAST (Training Operational Performance via Measure Automation and Scenario-generation Technology) is an adaptive training solution that will repurpose tactical training data to enable adaptive training at scale. TOPMAST will enhance existing simulation technologies to automate requisite adaptive training capabilities (challenge 1). Bayesian statistics and a supervised reinforcement learning framework will automatically discover which Measures of Performance are most predictive of a trainees mission performance (challenge 2). Advanced, high-dimensional data visualizations will provide a user-friendly view of the automated measurement discovery processes and will empower instructors and analysts with the knowledge of the automated systems reasoning (challenge 3). This understanding will ensure instructors remain in control of tactical training despite their usage of automated technologies.

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

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