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Proceedings Paper

The softest computer
Author(s): H. John Caulfield; John L. Johnson
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Paper Abstract

Neural networks, fuzzy systems, and evolutionary computation - the technologies featured in this conference - are often referred to collectively as soft computing. Like fuzzy logic this has an unfortunate overtone, but we are stuck with the term. I argue that the intuition that governed this grouping of technologies is that they are all human mimetic. Then I offer an overview of how to construct an artifact that, like you, uses those approaches to exercise judgement and innovate out of unforeseen problems.

Paper Details

Date Published: 13 October 2000
PDF: 4 pages
Proc. SPIE 4120, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation III, (13 October 2000); doi: 10.1117/12.403608
Show Author Affiliations
H. John Caulfield, Fisk Univ. (United States)
John L. Johnson, U.S. Army V Corps (Germany)


Published in SPIE Proceedings Vol. 4120:
Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation III
Bruno Bosacchi; David B. Fogel; James C. Bezdek, Editor(s)

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