DocumentCode
2804555
Title
The formalist manifesto [artificial intelligence]
Author
Banerji, R.B. ; Hodgson, J.P.E.
Author_Institution
St. Joseph´´s Univ., Philadelphia, PA, USA
fYear
1990
fDate
5-7 Sep 1990
Firstpage
1152
Abstract
A categorical model of problem solving is introduced. The concept is that domain-dependent knowledge can also take the form of structural knowledge about the domain and, more specifically, that the decomposition methods that have proved to be so effective in mathematical reasoning can also be applied in the case of artificial intelligence systems. The fact that such knowledge is superficially more arcane because of its abstract nature does not automatically indict it as being necessarily weak. It is shown that a number of algebraic approaches to problem solving can be incorporated into the viewpoint
Keywords
artificial intelligence; inference mechanisms; artificial intelligence; categorical model; decomposition methods; domain-dependent knowledge; mathematical reasoning; problem solving; structural knowledge; Artificial intelligence; Buildings; Global Positioning System; Knowledge representation; Laboratories; Large-scale systems; Problem-solving; Production systems; Rhetoric; Turning;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control, 1990. Proceedings., 5th IEEE International Symposium on
Conference_Location
Philadelphia, PA
ISSN
2158-9860
Print_ISBN
0-8186-2108-7
Type
conf
DOI
10.1109/ISIC.1990.128599
Filename
128599
Link To Document