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Intelligent Systems for Engineering : A Knowledge-based Approach

Intelligent Systems for Engineering : A Knowledge-based Approach

Intelligent Systems for Engineering : A Knowledge-based Approach N/a - 1997

by Ram D. Sriram

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Details

  • Title Intelligent Systems for Engineering : A Knowledge-based Approach
  • Author Ram D. Sriram
  • Binding N/A
  • Condition New
  • Pages 804
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 1997-07-23
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # ria9783540761280_inp
  • ISBN 9783540761280 / 3540761284
  • Weight 3.12 lbs (1.42 kg)
  • Dimensions 9.61 x 6.52 x 2.11 in (24.41 x 16.56 x 5.36 cm)
  • Category Technology & Industrial Arts
  • Library of Congress Catalogue Number 97010523
  • Dewey Decimal Code 620.002
  • Quantity available 337

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Reader reviews for Intelligent Systems for Engineering : A Knowledge-based Approach

From the publisher

When men of knowledge impart this knowledge, I do not mean they will convince your reason. I mean they will awaken in you the faith that it is so. - Sri Krishna, Bhagavadgita BACKGROUND The use of computers has led to significant productivity increases in the en- gineering industry. Most ofthe computer-aided engineering applications were . restricted to algorithmic computations, such as finite element programs and circuit analysis programs. However, a number ofproblems encountered in en- gineering are not amenable to purely algorithmic solutions. These problems are often ill-structured; the term ill-structured problems is used here to de- note problems that do not have a clearly defined algorithmic solution. An experienced engineer deals with these ill-structured problems using his/her judgment and experience. The knowledge-based systems (KBS) technology, which emerged out of research in artificial intelligence (AI), offers a method- ologyto solve these ill-structuredengineering problems. The emergenceofthe KBS technology can be viewed as the knowledge revolution: other important events that led to increased productivity are the industrial revolution (17th century); the invention of the transistor and associated developments (first half of the 20th century); and the world-wide web (towards the end of the 20th century). Kurzweil, in a lecture at M. LT on December 3, 1987, linked the progress of automation to two industrial revolutions: the first industrial PREFACE xxxii revolution leveraged our physical capabilities, whereas the second industrial revolution - the knowledge revolution - is expected leverage oUr mental ca- pabilities.
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