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

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: N/A
Agency Tracking Number: 9863
Amount: $61,479.00
Phase: Phase I
Program: SBIR
Awards Year: 1989
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
Klein Assocs Inc
Po Box 264 - 800 Livermore St, Yellow Springs, OH, 45387
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Dr Gary A Klein
 (513) 767-2691
Business Contact
Phone: () -
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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