Skip to main content
SpringerLink
Log in
Book cover

Computer Aided Systems Theory — CAST '94 pp 123–147Cite as

A framework for knowledge intensive engineering

  • Foundations of CAST: Theory and Methodology
  • Conference paper
  • First Online:

  • 190 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1105))

Abstract

This paper proposes knowledge intensive engineering that is a new way of engineering activities in various product life cycle stages conducted with more knowledge in a flexible manner to create more added value. Knowledge representation and modeling issues are discussed and a cooperative multiple intelligent agent architecture based on multiple ontology is proposed for building a computational framework for knowledge intensive engineering. Through examples, we describe the developed framework as a knowledge intensive CAD for knowledge intensive design of knowledge intensive machines. This demonstrates the power and usefulness of knowledge intensive engineering. It is also discussed that to achieve knowledge intensive engineering, systematization of knowledge is an essential process to allow intelligent agents to share accumulated knowledge.

This is a preview of subscription content, log in via an institution.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. V. Akman, P.J.W. ten Hagen, and T. Tomiyama: A fundamental and theoretical framework for an Intelligent CAD System. Computer-Aided Design 22(6), 352–367 (1990).

    Google Scholar 

  2. M. Cutkosky, R. Engelmore, R. Fikes, M. Genesereth, T. Gruber, W. Mark, J. Tenenbaum, and J. Weber: PACT: An experiment in integrating concurrent engineering systems. IEEE Computer 26(1), 28–37 (1993).

    Google Scholar 

  3. K. Forbus: Qualitative process theory. Artificial Intelligence, 24, 85–168 (1984).

    Google Scholar 

  4. K. Forbus: Intelligent computer-aided engineering. AI Magazine 9(3), 23–36 (1988).

    Google Scholar 

  5. K. Fuchi and T. Yokoi (eds.): Knowledge Building and Knowledge Sharing. Tokyo: Ohmusha and Amsterdam: IOS Press, 1994.

    Google Scholar 

  6. M.R. Genesereth and R. Fikes: Knowledge Interchange Format, Version 2.2 Reference Manual. Technical Report Logic-90-4. Stanford, CA, USA: Computer Science Department, Stanford University, 1990.

    Google Scholar 

  7. T.R. Gruber: Towards Principles for the Design of Ontologies Used for Knowledge Sharing. Technical Report KSL 93-04. Stanford, CA, USA: Knowledge Systems Laboratory, Stanford University, 1993.

    Google Scholar 

  8. M. Ishii, T. Tomiyama, and H. Yoshikawa: Synthetic reasoning method for conceptual design. In: M.J. Wozny and G. Olling (eds.): Towards World Class Manufacturing. IFIP Transactions B-17. Amsterdam: North-Holland, 1994, pp. 3–16.

    Google Scholar 

  9. M. Ishii, T. Sekiya, and T. Tomiyama: A very large-scale knowledge base for the knowledge intensive engineering framework. In: N.J.I. Mars (ed.): Towards Very Large Knowledge Bases. Amsterdam: IOS Press, 1995, pp. 123–131.

    Google Scholar 

  10. ISO/TC184/SC4: STEP (Standard for The Exchange of Product model data). Draft Proposal. ISO, 1990.

    Google Scholar 

  11. T. Kiriyama, T. Tomiyama, and H. Yoshikawa: The use of qualitative physics for integrated design object modeling. In: L. Stauffer (ed.): Design Theory and Methodology —DTM '91—. New York: ASME, 1991, pp. 53–60.

    Google Scholar 

  12. T. Kiriyama, T. Tomiyama, and H. Yoshikawa: Building a physical feature database for integrated modeling in design. Working Papers of the Sixth International Workshop on Qualitative Reasoning about Physical Systems. Edinburgh, UK, 124–138 (1992).

    Google Scholar 

  13. D.B. Lenat and E.A. Feigenbaum: On the thresholds of knowledge. Proceedings of IJCAI-87, 1173–1182 (1987).

    Google Scholar 

  14. D.B. Lenat and R. Guha: Building Large Knowledge-Based Systems. Reading, MA: Addison-Wesley, 1989.

    Google Scholar 

  15. H. Lieberman: Using prototypical objects to implement shared behavior in object oriented systems. Object Oriented Computing 1986. New York: ACM, 1986, pp. 189–198.

    Google Scholar 

  16. H. Ohtsubo, Y. Kawamura, and A. Kubota: Development of the object-oriented finite element modeling system — MODIFY. Engineering with Computers 9(4), 187–197, (1993).

    Google Scholar 

  17. Y. Shimomura, T. Sakao, K. Ohmichi, T. Widmer, Y. Umeda, T. Tomiyama, and H. Yoshikawa: Model-based automatic generation of control sequence from design information. Proceedings of the Eighth Annual Meeting of the American Society of for Precision Engineering. Seattle, WA, USA, November 7–12, 1993, Raleigh, NC., USA: ASPE, 495–498 (1993).

    Google Scholar 

  18. H. Takeda, P. Veerkamp, T. Tomiyama, and H. Yoshikawa: Modeling design processes. AI Magazine 11(4), 37–48 (1990).

    Google Scholar 

  19. T. Tomiyama and H. Yoshikawa: Requirements and principles for intelligent CAD systems. In: J.S. Gero (ed.): Knowledge Engineering in Computer-Aided Design. Amsterdam: North-Holland, 1985, pp. 1–23.

    Google Scholar 

  20. T. Tomiyama and H. Yoshikawa: Extended general design theory. In: H. Yoshikawa and E.A. Warman (eds.): Design Theory for CAD. Amsterdam: North-Holland, 1987, pp. 95–130.

    Google Scholar 

  21. T. Tomiyama, T. Kiriyama, H. Takeda, D. Xue, and H. Yoshikawa: Metamodel: A key to intelligent CAD systems. Research in Engineering Design 1(1), 19–34, (1989).

    Google Scholar 

  22. T. Tomiyama, D. Xue, Y. Umeda, H. Takeda, T. Kiriyama, and H. Yoshikawa: Systematizing design knowledge for intelligent CAD systems. In: G. Oiling and F. Kimura (eds.): Human Aspects in Computer Integrated Manufacturing. IFIP Transactions B-3. Amsterdam: North-Holland, 1992, pp. 237–248.

    Google Scholar 

  23. T. Tomiyama and Y. Baba: Artifactual engineering and the post-mass production paradigm. Proceedings of the First International Symposium on Research into Artifacts. Tokyo: RACE, the University of Tokyo, 16–23 (1993).

    Google Scholar 

  24. T. Tomiyama and Y. Umeda: A CAD for functional design. Annals of CIRP 43/1, 143–146 (1993).

    Google Scholar 

  25. Y. Umeda, H. Takeda, T. Tomiyama, and H. Yoshikawa: Function, behaviour, and structure. In: J.S. Gero (ed.): Applications of Artificial Intelligence in Engineering V, Vol. 1. Berlin: Springer-Verlag, 1990, pp. 177–193.

    Google Scholar 

  26. Y. Umeda, T. Tomiyama, and H. Yoshikawa: A design methodology for a self-maintenance machine based on functional redundancy. In: D. Taylor and L. Stauffer (eds.): Design Theory and Methodology —DTM '92—. New York: ASME, 1992, pp. 317–324.

    Google Scholar 

  27. Y. Umeda, T. Tomiyama, H. Yoshikawa, and Y. Shimomura: Using functional maintenance to improve fault tolerance. IEEE Expert, Intelligent Systems & Their Applications 2(3), 25–31 (1994).

    Google Scholar 

  28. B. Veth: An integrated data description language for coding design knowledge. In: P.J.W. ten Hagen and T. Tomiyama (eds.): Intelligent CAD Systems I — Theoretical and Methodological Aspects. Berlin: Springer-Verlag, 1987, pp. 295–313.

    Google Scholar 

  29. D. Xue, H. Takeda, T. Kiriyama, T. Tomiyama, and H. Yoshikawa: An intelligent integrated interactive CAD-A preliminary report. In: D.C. Brown, M. Waldron, and H. Yoshikawa (eds.): Intelligent Computer Aided Design. IFIP Transactions B-4. Amsterdam: North-Holland, 1992, pp. 163–192.

    Google Scholar 

  30. H. Yoshikawa: General design theory and a CAD system: In: T. Sata and E.A. Warman (eds.): Man-Machine Communication in CAD/CAM. Amsterdam: North-Holland, 1981, pp. 35–58.

    Google Scholar 

  31. H. Yoshikawa: Systematization of design knowledge. Annals of CIRP 43/1, 131–134(1993).

    Google Scholar 

  32. M. Yoshioka, M. Nakamura, T. Tomiyama, and H. Yoshikawa: A process model with multiple design object models. In: T.K. Hight and L.A. Stauffer (eds.): Design Theory and Methodology-DTM '93. New York: ASME, 1993, pp. 7–14.

    Google Scholar 

  33. M. Yoshioka, M. Oosaki, and T. Tomiyama: An application of quality function deployment to functional modeling. Accepted for publication in: Proceedings of the IFIP WG 5.2 Workshop on Knowledge Intensive CAD. Helsinki, October 25–29, 1995.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Precision Machinery Engineering, The University of Tokyo, Hongo 7-3-1 Bunkyo-ku, 113, Tokyo, Japan

    Tetsuo Tomiyama & Yasushi Umeda

  2. Research into Artifacts, Center for Engineering (RACE), The University of Tokyo, Komaba 4-6-1, Meguro-ku, 153, Tokyo, Japan

    Takashi Kiriyama

Authors
  1. Tetsuo Tomiyama
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yasushi Umeda
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Takashi Kiriyama
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

George J. Klir Tuncer I. Ören

Rights and permissions

Reprints and permissions

Copyright information

© 1996 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tomiyama, T., Umeda, Y., Kiriyama, T. (1996). A framework for knowledge intensive engineering. In: Klir, G.J., Ören, T.I. (eds) Computer Aided Systems Theory — CAST '94. Lecture Notes in Computer Science, vol 1105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61478-8_72

Download citation

  • DOI: https://doi.org/10.1007/3-540-61478-8_72

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61478-4

  • Online ISBN: 978-3-540-68600-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation