DocumentCode :
2064007
Title :
Softer than soft computing
Author :
Kercel, S.W.
Author_Institution :
Endogenous Syst. Res. Group, Univ. of New England, Biddeford, ME, USA
fYear :
2003
fDate :
23-25 June 2003
Firstpage :
27
Lastpage :
32
Abstract :
In hard computing for engineering applications, we use explicit models derived from physical principle, and implement them on a computer as purely syntactic Turing-equivalent structures. When such a direct attack is not feasible, we resort to soft computing, using the techniques arising from artificial intelligence to ferret out the secrets of a process based on implicit models derived from observed data. Again, we implement them on a computer as purely syntactic Turing-equivalent structures. As the interest of the engineers moves toward problems in biomedical engineering and human-machine interaction, it is apparent that there are problems intractable even by the methods of soft computing. Processes of life and mind include internal semantics including inherent semantic ambiguity that are indispensable to their operation, but these semantics are totally missed by the purely syntactical strategies of both hard and soft computing. For engineers to make responsible decisions about systems that involve naturally occurring processes of life and mind, a new modeling strategy is required. It needs semantics models that can account for internal ambiguity and has so high a degree of flexibility that we may think of it as softer that "soft computing".
Keywords :
Turing machines; artificial intelligence; engineering computing; modelling; artificial intelligence; biomedical engineering; computer implementation; engineering application; explicit model; flexibility; hard computing; human-machine interaction; implicit model; internal semantics; modeling strategy; physical principle; purely syntactic Turing-equivalent structure; semantic ambiguity; semantics model; soft computing; syntactical strategy; system decision; Application software; Artificial intelligence; Biomedical computing; Biomedical engineering; Computer applications; Man machine systems; Mood; Nervous system; Neurons; Physics computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Soft Computing in Industrial Applications, 2003. SMCia/03. Proceedings of the 2003 IEEE International Workshop on
Print_ISBN :
0-7803-7855-5
Type :
conf
DOI :
10.1109/SMCIA.2003.1231339
Filename :
1231339
Link To Document :
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