Adaptive Decision System for C2BMC Systems

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$99,920.00
Award Year:
2005
Program:
SBIR
Phase:
Phase I
Contract:
W9113M-05-C-0031
Award Id:
74663
Agency Tracking Number:
044-1227
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
727 Airport Boulevard, Ann Arbor, MI, 48108
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Charles Cohen
Vice President, R & D
(734) 668-2567
ccohen@cybernet.com
Business Contact:
Charles Jacobus
President
(734) 668-2567
proposals@cybernet.com
Research Institute:
n/a
Abstract
A primary task of resource allocation personnel is making accurate decisions and scheduling control commands in a quick and timely manner using large amounts of data from disparate sources. An intelligent system could help facilitate this decision-making. We propose using an Advanced Decision System (ADS) as a man-machine decision interface for such large and complex situations. The ADS incorporates the mechanisms needed to assure robust decision-making performance, while enabling human intervention for difficult problems at appropriate times. Because this overall approach amplifies a person's ability to process very large amounts of aggregate relevant data in short time periods, it provides a framework for significantly extending the ability to perform analysis of real-world problems, such as those found in Intelligence, Surveillance, and Reconnaissance systems. Previously developed expert systems could not handle the complex scheduling requirements, especially within a reasonable computation time. Other systems also do not facilitate human intervention for complex or unknown situations. The ADS quickly responds to simple decisions, yet it also can determine when to draw on more expertise for more complex and critical decisions. For this effort, we will demonstrate the use of an ADS system to appropriately schedule missile operations, especially in an information overload scenario.

* information listed above is at the time of submission.

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