This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Artificial Intelligence: Where Has it Been, and Where is it Going?
June 1991 (vol. 3 no. 2)
pp. 128-136

The directions for near-future development of artificial intelligence (AI) can be described in terms of four dichotomies: the use of reasoning versus the use of knowledge; the roles of parallel and of serial systems; systems that perform and systems that learn to perform; and programming languages derived from the search metaphor versus languages derived from the logical reasoning metaphor. Although the author believes that there are reasons for emphasizing knowledge systems (production systems) that are serial, capable of expert performance, and designed in terms of the search metaphor, the other pathways are also important and should not be ignored. In particular, empirical work is needed in the construction and empirical testing of the performance of large systems to explore all of these branching pathways.

Index Terms:
near-future development; artificial intelligence; serial systems; programming languages; search metaphor; logical reasoning metaphor; knowledge systems; production systems; expert performance; empirical work; empirical testing; large systems; branching pathways; inference mechanisms; knowledge based systems; search problems
Citation:
H.A. Simon, "Artificial Intelligence: Where Has it Been, and Where is it Going?," IEEE Transactions on Knowledge and Data Engineering, vol. 3, no. 2, pp. 128-136, June 1991, doi:10.1109/69.87993
Usage of this product signifies your acceptance of the Terms of Use.