Intelligent Scenario Generation Tools for Distributed Mission Operations (DMO) Training and Rehearsal

Award Information
Agency:
Department of Defense
Branch:
Air Force
Amount:
$100,000.00
Award Year:
2008
Program:
SBIR
Phase:
Phase I
Contract:
FA8650-08-M-6899
Agency Tracking Number:
F081-013-0585
Solicitation Year:
2008
Solicitation Topic Code:
AF081-013
Solicitation Number:
2008.1
Small Business Information
SONALYSTS, INC.
215 Parkway North, P.O. Box 280, Waterford, CT, 06385
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
077317766
Principal Investigator
 David Schell
 Principal Investigator
 (540) 663-9034
 dschell@sonalysts.com
Business Contact
 Christine Miller
Title: Contracting Officer
Phone: (860) 326-3722
Email: cmmiller@sonalysts.com
Research Institution
N/A
Abstract
Sonalysts, Inc. and Aptima, Inc. (the Team) propose to research a proof-of-concept software solution that will be able to assess a student, team, or team-of-teams training record(s) to determine the needed instruction to continue, enhance, review, or reiterate training objectives for the Distributed Mission Operations (DMO). Mission Essential CompetenciesSM will be used in our evaluation, analysis, and data collection to determine a more precise curriculum (syllabus) to be used. The Team is looking to employ a scenario generator, that with a Domain Expert and an Instructional Expert, will be constantly monitoring actions of participants. Unmet training objectives will be handled by dynamically reintroducing them into the current scenario via the scenario generator. Failures will be addressed to the participant(s) during debriefing and the individual’s or team’s model will be updated with all outcomes. This solution will be extensible to a variety of training domains, from tactical employment (an F-16 4-ship working with an AWACS Air Weapons Officer) to operational command-and-control (the Air & Space Operations Center), and should be extensible to a variety of training environments, from single-seat fighter simulators to distributed, multi-site exercises.

* information listed above is at the time of submission.

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