DocumentCode
2300931
Title
The importance of implicit and explicit knowledge in a pilot´s associate system
Author
Perschbacher, David L. ; Levi, Keith R. ; Hoffman, Mark
Author_Institution
Honeywell Syst. & Res. Center, Minneapolis, MN, USA
fYear
1991
fDate
20-24 May 1991
Firstpage
1158
Abstract
It is pointed out that fielding an operational pilot´s associate (PA) will require both implicit and explicit representations of knowledge. Speed and memory performance requirements for PA will be aided by the use of implicit representations of knowledge. Acquiring and maintaining the large knowledge bases for PA will, by contrast, be aided by having explicit knowledge representations. Such explicit representations are being investigated in a 10 person-year research project sponsored by the Wright Research and Development Center. A critical contribution of this research has been to develop concepts that make machine learning applicable to real-time control and execution systems such as pilot´s associate. The authors describe how machine learning techniques can automatically transform explicit representations into the implicit representations required by PA
Keywords
aerospace computing; knowledge representation; learning systems; military computing; US Air Force; execution systems; explicit knowledge; explicit representations; implicit representations; machine learning; operational pilot´s associate; real-time control; Aerospace electronics; Aircraft; Artificial intelligence; Contracts; Control systems; Knowledge representation; Machine learning; Monitoring; Real time systems; Research and development;
fLanguage
English
Publisher
ieee
Conference_Titel
Aerospace and Electronics Conference, 1991. NAECON 1991., Proceedings of the IEEE 1991 National
Conference_Location
Dayton, OH
Print_ISBN
0-7803-0085-8
Type
conf
DOI
10.1109/NAECON.1991.165905
Filename
165905
Link To Document