LEARNING SYSTEMS FOR ELECTRONIC COMBAT APPLICATIONS (LSECA)

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$57,858.00
Award Year:
1988
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Agency Tracking Number:
8221
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
Abtech Corp
1615 Poes Ln, Charlottesville, VA, 22901
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
GERARD J MONTGOMERY
(804) 973-7395
Business Contact:
() -
Research Institution:
n/a
Abstract
ADVANCES IN ELECTRONIC COMBAT APPLICATIONS WILL SIGNIFICANTLY INCREASE THE ABILITY OF PILOTS TO OUTPERFORM A LARGE NUMBER OF ADVERSARIES IN ENVIRONMENTS WHERE THERE IS AN EXTREME INFORMATION PROCESSING BURDEN. THE NUMBER OF FACTORS PILOTS MUST CONSIDER IN MAKING ELECTRONIC COMBAT RELATED DECISIONS IS VERY HIGH AND OFTEN INVOLVE UNKNOWN RELATIONSHIPS THAT MUST BE LEARNED FROM EXPERIENCE. IN ADDITION, MUCH OF THE DATA IS UNRELIABLE OR MISSING, RESULTING IN A SUBSTANTIAL AMOUNT OF UNCERTAINTY. THIS PROPOSAL DISCUSSES A NEW FORM OF REASONING CALLED ABDUCTIVE REASONING AND RELATED INDUCTIVE LEARNING ALGORITHMS THAT PROVIDE A GENERAL MEANS TO ATTAIN SATISFACTORY SOLUTIONS TO PROBLEMS THAT CAN NOT BE RESOLVED USING CURRENT COMPUTER SCIENCE METHODS. THE LEARNING ALGORITHMS ARE BASED ON POLYNOMIAL NETWORK MODELING TECHNIQUES WHICH OFFER TREMENDOUS NEARTERM POTENTIAL IN AUTOMATICALLY SYNTHESIZING EFFECTIVE DECISION MODELS TO DEAL WITH THE UNCERTAINTIES ASSOCIATED WITH ELECTRONIC COMBAT APPLICATIONS, AND PROVIDE THE MEANS TO OBTAIN SATISFACTORY AND PRACTICAL REAL-TIME SOLUTIONS TO SUCH COMPLEX PROBLEMS.

* information listed above is at the time of submission.

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