A CASE-BASED EXPERT SYSTEM FOR MANUFACTURING APPLICATIONS

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$60,299.00
Award Year:
1987
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Agency Tracking Number:
6023
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
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 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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