Intelligent CAD Systems I

Theoretical and Methodological Aspects

  • Paul J. W. ten Hagen
  • Tetsuo Tomiyama

Part of the EurographicSeminars book series (FOCUS COMPUTER)

Table of contents

  1. Front Matter
    Pages I-XIV
  2. Session 1

    1. Front Matter
      Pages 1-1
    2. A. Bijl
      Pages 2-19
    3. F. Arbab
      Pages 20-39
    4. Back Matter
      Pages 40-41
  3. Session 2

    1. Front Matter
      Pages 43-43
    2. B. T. David
      Pages 57-67
    3. Back Matter
      Pages 68-69
  4. Session 3

    1. Front Matter
      Pages 71-71
    2. E. E. Berkhout
      Pages 105-122
    3. Back Matter
      Pages 123-126
  5. Session 4

    1. Front Matter
      Pages 127-127
    2. M. Nadin, M. Novak
      Pages 146-171
    3. Back Matter
      Pages 172-173
  6. Session 5

    1. Front Matter
      Pages 175-175
    2. M. P. Fourman, R. M. Zimmer
      Pages 176-185
    3. D. Genin, A. Dardenne, J. de Moortel
      Pages 186-201
    4. Back Matter
      Pages 202-203
  7. Session 6

    1. Front Matter
      Pages 205-205
    2. J. F. Koegel
      Pages 206-223
    3. Back Matter
      Pages 239-240
  8. Session 7

    1. Front Matter
      Pages 241-241
    2. Z. Ruttkay, R. H. Allen, B. Laczik
      Pages 242-255
    3. H. J. Kahn
      Pages 256-271
    4. Back Matter
      Pages 283-284
  9. Session 8

  10. Back Matter
    Pages 317-360

About these proceedings


CAD (Computer Aided Design) technology is now crucial for every division of modern industry, from a viewpoint of higher productivity and better products. As technologies advance, the amount of information and knowledge that engineers have to deal with is constantly increasing. This results in seeking more advanced computer technology to achieve higher functionalities, flexibility, and efficient performance of the CAD systems. Knowledge engineering, or more broadly artificial intelligence, is considered a primary candidate technology to build a new generation of CAD systems. Since design is a very intellectual human activity, this approach seems to make sense. The ideas of intelligent CAD systems (ICAD) are now increasingly discussed everywhere. We can observe many conferences and workshops reporting a number of research efforts on this particular subject. Researchers are coming from computer science, artificial intelligence, mechanical engineering, electronic engineering, civil engineering, architectural science, control engineering, etc. But, still we cannot see the direction of this concept, or at least, there is no widely accepted concept of ICAD. What can designers expect from these future generation CAD systems? In which direction must developers proceed? The situation is somewhat confusing.


CAD VLSI architecture civil engineering computer-aided design (CAD) expert system intelligence knowledge-based systems mechanical engineering model signal processing user interface

Editors and affiliations

  • Paul J. W. ten Hagen
    • 1
  • Tetsuo Tomiyama
    • 2
  1. 1.Stichting Mathematisch CentrumAmsterdamThe Netherlands
  2. 2.Department of Precision Machinery Engineering, Faculty of EngineeringThe University of TokyoBunkyo-ku, Tokyo 113Japan

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 1987
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-72947-8
  • Online ISBN 978-3-642-72945-4
  • Buy this book on publisher's site