Battlefield Learning

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$750,000.00
Award Year:
2006
Program:
SBIR
Phase:
Phase II
Contract:
W9113M-06-C-0162
Award Id:
74664
Agency Tracking Number:
044-1298
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1235 South Clark Street Suite 400, Arlington, VA, 22202
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
036593457
Principal Investigator:
RickAdleson
Vice President
(703) 414-5023
richard.adleson@dac.us
Business Contact:
KellyMcClelland
Director, Business Admini
(703) 414-5024
kelly.mcclelland@dac.us
Research Institute:
n/a
Abstract
Battlefield Learning (BL) is the process of understanding what is observed (enemy & own actions) in the command center and correctly adapting our actions to lead to a positive outcome. The character of BL is the coherent union of man & machine that will best provide adaptability to off-nominal and evolving missile threats. Battlefield Learning will largely take place in exercises that prepare operators for a short but potentially destructive war. Human/machine interaction is where today's C2BMC BL lies. The challenge is to find a meaningful way to measure "good" Human-in-Loop (HIL) C2BMC interaction and learning and to create BL algorithms to advise the HIL in a way that best promotes human sense making in uncertain environments. The Phase I effort established a framework called the Work-Centered Intelligent-Agent System (WIS) for BL. The three components of the WIS are 1) the real-time results of current C2BMC algorithms, 2) the work centered interface that communicates the algorithm's results in a way that promotes human sense making, and 3) an association algorithm that captures the "general" behavior of C2BMC algorithms and the behavior of HIL operators. The Phase II effort will complete and deploy the WIS at the C2BMC-X laboratory.

* information listed above is at the time of submission.

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