DocumentCode
486690
Title
Domains of Artificial Intelligence Relevant to Systems
Author
Birdwell, J. Douglas ; Cockett, J. Robin B. ; Cockett, B. ; Gabriel, John R.
Author_Institution
Department of Electrical Engineering, University of Tennessee, Knoxville, TN 37996-2100
fYear
1986
fDate
18-20 June 1986
Firstpage
1153
Lastpage
1158
Abstract
This paper summarizes the authors\´ views of the areas where techniques from artificial intelligence may prove applicable to systems problems. For this paper, we define "artificial intelligence" as the application of symbolic reasoning on stored knowledge. The concept of knowledge is left imprecise; knowledge may be approximate and symbolic rather than exact and numeric. The components of the field of artificial intelligence which we consider most relevant to the systems community are expert systems, knowledge representation, knowledge base query and inference, data base design and access, and mixed-language programming. We will discuss candidate areas for research in the application of artificial intelligence from two perspectives: current problems in artificial intelligence the solution of which would positively affect system applications, and areas within systems which we feel would benefit from the application of artificial intelligence techniques.
Keywords
Artificial intelligence; Computer science; Educational institutions; Expert systems; Humans; Knowledge representation; Mathematics; Pathology; Physics; Software algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1986
Conference_Location
Seattle, WA, USA
Type
conf
Filename
4789108
Link To Document