DocumentCode :
1977282
Title :
What 36 Japanese AI managers spotted as differences between US and Japanese corporate AI programs
Author :
Greene, Richard Tabor
Author_Institution :
Xerox Corp., Fairport, NY, USA
fYear :
1990
fDate :
10-12 Sep 1990
Firstpage :
25
Lastpage :
30
Abstract :
Managers of 36 Japanese corporate AI (artificial intelligence) programs were interviewed about differences they observed between corporate AI programs in Japan and such programs in the USA. Later, a smaller group of the same subjects was presented with the results from the first survey and asked to make sense of them. The results indicate that greater AI impact on business is going on in Japan due to AI being `inserted´ into business processes that are more self-consciously modeled in Japan than in the USA. The quality framework and process control framework in Japan are creating new forms of AI, from fuzzy reasoning VLSI chips to AI simulators of quality business processes as translations of customer needs. The survey showed a split between first generation AI in Japan that imitated Lisp and Prolog work in the US and second generation AI that downsizes AI. An interesting social spin-off from AI-social connectionism-as an image of Japanese work organizations was also uncovered
Keywords :
artificial intelligence; commerce; fuzzy logic; knowledge based systems; AI simulators; Lisp; Prolog; artificial intelligence; business; corporate AI programs; first generation AI; fuzzy reasoning VLSI chips; process control framework; quality framework; second generation AI; social connectionism; Application software; Artificial intelligence; Code standards; Error analysis; Fuzzy reasoning; Hardware; Process control; Production facilities; Software standards; Standards organizations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Managing Expert System Programs and Projects, 1990. Proceedings., IEEE Conference on
Conference_Location :
Bethesda, MD
Print_ISBN :
0-8186-2059-5
Type :
conf
DOI :
10.1109/MESPP.1990.122672
Filename :
122672
Link To Document :
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