Intelligent Systems for Engineering

A Knowledge-based Approach

  • Ram D. Sriram

Table of contents

  1. Front Matter
    Pages i-xlii
  2. Ram D. Sriram
    Pages 103-158
  3. Ram D. Sriram
    Pages 159-226
  4. Ram D. Sriram
    Pages 227-284
  5. Ram D. Sriram
    Pages 285-334
  6. Ram D. Sriram
    Pages 335-470
  7. Ram D. Sriram
    Pages 471-542
  8. Ram D. Sriram
    Pages 543-600
  9. Ram D. Sriram
    Pages 601-690
  10. Back Matter
    Pages 691-804

About this book


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.


artificial intelligence case-based reasoning expert system intelligence knowledge knowledge representation knowledge-based systems neural networks problem solving

Authors and affiliations

  • Ram D. Sriram
    • 1
  1. 1.Manufacturing Systems Integration Division Manufacturing Engineering LaboratoryNational Institute of Standards and TechnologyGaithersburgUSA

Bibliographic information

Industry Sectors
Materials & Steel
Chemical Manufacturing
IT & Software
Consumer Packaged Goods
Energy, Utilities & Environment
Oil, Gas & Geosciences