Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/emerald-publishing/continuity-and-artificial-intelligence-0TVAw0oKqJ
- Publisher
- Emerald Publishing
- Copyright
- Copyright © Emerald Group Publishing Limited
- ISSN
- 0368-492X
- DOI
- 10.1108/eb005905
- Publisher site
- See Article on Publisher Site
Abstract
The traditional approach to AI is limited because it fails to exploit continuity. The reliance on discrete logic has allowed the rapid initial advance of the subject, but constitutes an inherent deficiency. The limitations have become apparent, and are generally acknowledged by a revival of interest in neuralnet, or connectionist, techniques. This approach has become feasible because of technical developments allowing largescale parallel operation. Lessons can be learned by considering the evolution of natural intelligence. Recent studies from a biological viewpoint suggest that this has some unexpected features. The idea of concept formation should be extended to include quantifiable concepts, similar to the semantic variables of fuzzy set theory.
Journal
Kybernetes – Emerald Publishing
Published: Jun 1, 1991