PASSIVE KNOWLEDGE ACQUISITION

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: N/A
Agency Tracking Number: 12104
Amount: $500,000.00
Phase: Phase II
Program: SBIR
Awards Year: 1991
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
Software Productivity Solution
P.o. Box 361697, Melbourne, FL, 32936
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Andres Rudmik
 Principal Systems Engineer
 (407) 984-3370
Business Contact
 EDWARD R. COMER
Title: PRESIDENT
Phone: (407) 984-3370
Research Institution
N/A
Abstract
THE DEVELOPMENT OF KNOWLEDGE-BASED SYSTEMS CURRENTLY REQUIRES THE USE OF A KNOWLEDGE ENGINEER TO TRANSLATE AND ENCODE THE KNOWLEDGE EXTRACTED FROM AN EXPERT INTO THE TARGET REPRESENTATION AND REASONING SYSTEM. ALTHOUGH THE GOAL OF PROVIDING SYSTEMS WITH WHICH THE EXPERT CAN DIRECTLY INTERACT HAS BEEN SOUGHT FOR SOME TIME, THESE SYSTEMS STILL FALL WELL SHORT OF THEIR INTENDED GOAL. A MAJOR REASON IS THAT THE EXPERT MUST SHIFT THE FOCUS OF THEIR COGNITIVE PROCESSING BETWEEN THE PERFORMANCE OF THE TASK TO BE CAPTURED AND THINKING ABOUT HOW TO ENCODE THAT PROCESS. THIS EFFORT WILL DEVELOP A PASSIVE KNOWLEDGE ACQUISITION SYSTEM WHICH UNOBTRUSIVELY MONITORS AND RECORDS THE EXPERT'S ACTIONS. THEN, USING A COLLECTION OF ELICITATION AND DISCOVERY HEURISTICS, THE SYSTEM QUERYS THE EXPERT REGARDING THE RATIONALE AND DECISION PROCESS BEHIND THE ACTIONS. THIS APPROACH WILL PROVIDE AN EXPERT KNOWLEDGE ELICITATION SYSTEM WHICH BEHAVES MUCH THE SAME AS A HUMAN KNOWLEDGE ENGINEER.

* information listed above is at the time of submission.

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