USING CASE-BASED REASONING TO ESTIMATE MANPOWER PERSONNEL TRAINING AND SAFETY REQUIREMENTS

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$61,479.00
Award Year:
1989
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Award Id:
9863
Agency Tracking Number:
9863
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
Po Box 264 - 800 Livermore St, Yellow Springs, OH, 45387
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Dr Gary A Klein
(513) 767-2691
Business Contact:
() -
Research Institution:
n/a
Abstract
THE OBJECTIVE IS TO DEVELOP A KNOWLEDGE-BASED ASSISTANT FOR ESTIMATING MANPOWER, PERSONNEL, TRAINING, AND SAFETY REQUIREMENTS FOR NEW SYSTEMS AND SUBSYSTEMS. A CASE-BASED REASONING (CBR) APPROACH TO KNOWLEDGE ELICITATION IS PROPOSED AS A SENSITIVE AND EFFECTIVE STRATEGY TO DERIVE AND REPRESENT CRITICAL KNOWLEDGE. PHASE I WILL DEMONSTRATE THE FEASIBILITY OF A CBR APPROACH THAT USES MPT&S DATA FROM PREVIOUS SYSTEMS AS THE BASIS FOR PREDICTIONS. STANDARD ARTIFICIAL INTELLIGENCE (AI) APPROACHES TO MPT&S ESTIMATION RUN INTO THE DIFFICULT OF HAVING TO MODEL THE COMPLEXITIES OF THE HARDWARE/SOFTWARE ELEMENTS ALONG WITH THE COMPLEXITIES OF THE HUMAN FACTORS. A CASE-BASED REASONING STRATEGY AVOIDS THIS PROBLEM BY RELYING ON MATCHES TO SIMILAR PROJECTS, ELIMINATING THE NEED TO REPRESENT WORLD KNOWLEDGE.

* information listed above is at the time of submission.

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