COMPUTER ARCHITECTURE AND VERY HIGH-LEVEL LANGUAGE DESIGN FOR BATTLE MANAGEMENT

Award Information
Agency:
Department of Defense
Amount:
$499,000.00
Program:
SBIR
Contract:
N/A
Solitcitation Year:
N/A
Solicitation Number:
N/A
Branch:
Missile Defense Agency
Award Year:
1988
Phase:
Phase II
Agency Tracking Number:
6047
Solicitation Topic Code:
N/A
Small Business Information
L.n.k Corp. Inc.
6811 Kenilworth Ave - Ste 306, Riverdale, MD, 20737
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
N/A
Principal Investigator
 Thomas Tsao
 (301) 927-3223
Business Contact
Phone: () -
Research Institution
N/A
Abstract
CURRENT COMPUTATIONAL APPROACHES ARE INADEQUATE TO PERFORM REAL TIME PATTERN RECOGNITION AND ADAPTIVE RESOURCE ALLOCATION IN ORDER TO SUITABLY RESPOND TO ENEMY THREATS WHEN COMPARED TO THE DYNAMICALLY CHANGING MILITARY ENVIRONMENTS. DESPITE DECADES OF EFFORT BASED UPON STATISTICAL SIGNAL PROCESSING AND PATTERN RECOGNITION METHODOLOGY, THEREAL TIME RECOGNITION OF COMPLEX TARGETS REMAINS A CHALLENGING PROBLEM. IN THE AREA OF BATTLEFIELD SITUATION ASSESSMENT, THERE DOES NOT APPEAR TO BE A SUITABLE APPROACH TO RESPOND TO THE COMPLEX DYNAMICALLY EVOLVING SCENARIO THAT SUCH ASSESSMENT AND ALLOCATION PROBLEMS REQUIRE. THE FEASIBILITY IS BEING EXAMINED OF DESIGNING A CONTINUOUS REAL TIME PATTERN RECOGNITION AND THREAT RESPONSE CAPABILITY IN DYNAMICALLY CHANGING MILITARY ENVIRONMENTS USING THE INNOVATIVE APPROACH OF A COMPUTATIONAL PERCEPTUAL PROCESS BASED ON A COGNITIVE NET. THIS STUDY PROVIDES AN OPPORTUNITY TO ATTACK VERY SIGNIFICANT DEFENSE PROBLEMS THAT HAVE LONG AWAITED PRACTICAL SOLUTIONS BY INTEGRATING IDEAS AND METHODOLOGIES DERIVED FROM COGNITIVE SCIENCE, NEURAL NET MODELING, PATTERN RECOGNITION, ARTIFICALINTELLIGENCE, AND NOVEL COMPUTATIONAL ARCHITECTURES USING CURRENTLY DEVELOPING TECHNIQUES SUCH AS VERY LARGE SCALE INTEGRATION.

* information listed above is at the time of submission.

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