SBIR/STTR Research Award

Dynamic Narrative Aid for Battle Management using Market-Based Optimization (DyNAMMO)

Award identifier bdb46501bc06a81918249472fa56a5302b2fdcdd77220d2cea0978916d7a5035Awarding agency Department of Defense · Missile Defense Agency

Award amount

$99,994

Program and phase

SBIR · Phase I

Award year

2020

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Award details

Awarding agency
Department of Defense
Branch
Missile Defense Agency
Recipient company
CHARLES RIVER ANALYTICS, INC.
Proposal award date
2019-11-22
Contract end date
2020-05-21
UEI
DD1BYN8SN355
Solicitation number
19.2
Topic code
MDA19-005

Research abstract

Charles River Analytics proposes to design and demonstrate the feasibility of a Dynamic Narrative Aid for Battle Management using Market-Based Optimization (DyNAMMO). Our approach consists of design of: (1) a distributed just in time market based optimization framework for dynamic, efficient, real-time task allocation; (2) a multi-criteria alternative generator which can compute multiple resource assignments optimized across competing objectives; (3) an explanation-based human-machine interface which provides motivation and explanation behind alternative resource assignments to ensure Warfighter comprehension. Approved for Public Release | 19-MDA-10270 (18 Nov 19)

Technology keywords

Not reported

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

961 SBIR/STTR records share this UEI (1984–2026). Reported award amounts total $386,500,110. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Health and Human Services, Department of Homeland Security, Department of Transportation, Department of Energy

Agency intelligence

Department of Defense

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