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Software Agents and Soft Computing Towards Enhancing Machine Intelligence pp 191–210Cite as

An introduction to soft computing — A tool for building intelligent systems

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1198))

Abstract

“The essence of soft computing is that unlike the traditional, hard computing, soft computing is aimed at an accommodation with the pervasive imprecision of the real world. Thus, the guiding principle of soft computing is: ‘...exploit the tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness, low solution cost and better rapport with reality’. In the final analysis, the role model for soft computing is the human mind.” [1]

In this paper terms associated with soft computing are defined and its main components are introduced. It is argued, using a number of practical applications, that the hybrid approach of soft computing can provide a methodology for increasing machine intelligence.

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Author information

Authors and Affiliations

  1. Intelligent Systems Research, Advanced Applications & Technology Department, BT Laboratories, Martlesham Heath, IP5 7RE, Ipswich, Suffolk, UK

    B. Azvine, N. Azarmi & K. C. Tsui

Authors
  1. B. Azvine
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  2. N. Azarmi
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  3. K. C. Tsui
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Editor information

Hyacinth S. Nwana Nader Azarmi

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© 1997 Springer-Verlag Berlin Heidelberg

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Azvine, B., Azarmi, N., Tsui, K.C. (1997). An introduction to soft computing — A tool for building intelligent systems. In: Nwana, H.S., Azarmi, N. (eds) Software Agents and Soft Computing Towards Enhancing Machine Intelligence. Lecture Notes in Computer Science, vol 1198. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62560-7_46

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  • DOI: https://doi.org/10.1007/3-540-62560-7_46

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62560-5

  • Online ISBN: 978-3-540-68079-6

  • eBook Packages: Springer Book Archive

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