A CASE-BASED EXPERT SYSTEM FOR MANUFACTURING APPLICATIONS

Award Information

Agency: Department of Defense	Branch: Air Force	Award ID: 6023	Program Year/Program: 1987 / SBIR
Agency Tracking Number: 6023	Solicitation Year: N/A	Solicitation Topic Code: N/A	Solicitation Number: N/A

Small Business Information: KLEIN ASSOC., INC.
1750 Commerce Center Blvd. North Fairborn, OH 45324
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Woman-Owned: No

Minority-Owned: No

HUBZone-Owned: No

Phase 1: Fiscal Year: 1987

Title: A CASE-BASED EXPERT SYSTEM FOR MANUFACTURING APPLICATIONS

Agency / Branch: DOD / USAF

Contract: N/A

Award Amount: $60,299.00

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.

Principal Investigator:
Dr gary a klein
5137672691

Business Contact:

Small Business Information at Submission:

Klein Assocs Inc
Po Box 264 Yellow Springs, OH 45387

EIN/Tax ID:

DUNS: N/A

Number of Employees:

Woman-Owned: No

Minority-Owned: No

HUBZone-Owned: No