A CASE-BASED EXPERT SYSTEM FOR MANUFACTURING APPLICATIONS

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: N/A
Agency Tracking Number: 6023
Amount: $60,299.00
Phase: Phase I
Program: SBIR
Awards Year: 1987
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
Klein Assocs Inc
Po Box 264, 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 ARTIFICIAL INTELLIGENCE (AI) FOR INCREASING MANUFACTURING CAPABILITIES. A CASE-BASED REASONING (CBR) APPROACH TO KNOWLEDGE ELICITATION IS PROPOSED AS A SENSITIVE AND EFFECTIVE STRATEGY TO DERIVE AND REPRESENT THE CRITICAL KNOWLEDGE. PHASE I WILL DEMONSTRATE THE FEASIBILITY OF USING A CBR APPROACH TO DEVELOPING AN AI KNOWLDGE-BASED SYSTEM TO IMPROVE MANUFACTURING. CASE-BASED REASONING METHODS WERE DEVELOPED FOR DOMAINS WHERE DIRECT DATA COLLECTION WAS TIME-CONSUMING, EXPENSIVE, AND OFTEN NOT FEASIBLE,AND WHERE FORMAL MODELS WERE HARD TO APPLY BECAUSE OF MISSING DATA AS WELL AS THE COMPLEXITY OF THE PROBLEM. CBR RELIES UPON ESTRAPOLATION FROM EXISTING POINTS; IT CAN OVERCOME PROBLEMS OF MISSING DATA WHILE LEAVING A CLEAR RATIONAL FOR THE BASIS OF THE ESTIMATES GENERATED. THEREFORE, A CBR APPROACH WOULD HAVE THE ADVANTAGE OF OVERCOMING THE LIMITATIONS OF ALTERNATIVE KNOWLEDGE-ENGINEERING APPROACHES WHILE INCREASING THE EFFECTIVENESS OF KNOWLEDGE-BASED SYSTEMS.

* information listed above is at the time of submission.

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