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 :
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