Skip to main content

Artificial intelligence in manufacturing

  • Chapter
Computer-Aided Engineering for Manufacture
  • 118 Accesses

Abstract

Artificial intelligence (AI) is concerned with enabling computers to take on the characteristics that make man appear intelligent. It began to become an active field of research within computer science (or possibly half-way between computer science and psychology) in about 1955. Since that time, the study of AI has embraced a wide range of topics, including problem solving, theorem proving, game playing, learning and teaching.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Aleksander, I. Designing Intelligent Systems: An Introduction Kogan Page, London, 1984, 176 pp.

    Google Scholar 

  • Becker, J. The US boffins who aim to make money from AI. Expert Systems User June 1985, pp. 16–17.

    Google Scholar 

  • Begg, V. Developing Expert CAD Systems Kogan Page, London, 1984, 116 pp.

    Google Scholar 

  • Colmerauer, A. PROLOG and Infinite Trees, Logic Programming K.L. Clark and S.-T. Tärnlund (eds), Academic Press, New York, 1982.

    Google Scholar 

  • Coombes, M.J. Developments in Expert Systems Academic Press Inc, New York, 1984.

    Google Scholar 

  • Daley, S. A justification for the wider use of fuzzy logic control algorithms. Proc. Inst. Mech. Engrs. Vol. 199, No. Cl, pp. 43–49.

    Google Scholar 

  • Davies, B.J. The use of expert systems in process planning. Annals of the CIRP 1984, Vol. 33 (1), pp. 303–306.

    Article  Google Scholar 

  • Duda, R.O. Knowledge-based expert systems come of age. Byte BYTE (Publications), September 1981, pp. 238–281.

    Google Scholar 

  • Dym, C.L. Expert systems: new approaches to computer-aided engineering. Engineering with Computers 1985, Vol. 1 (1), 9–25.

    Article  Google Scholar 

  • Feigenbaum, E.A.; McCorduck, P. The Fifth Generation: Artificial Intelligence and Japan’s Computer Challenge to the World Addison-Wesley, Reading, Massachusetts, 1983; Pan Books, London, 1984.

    Google Scholar 

  • Forsyth, R. Expert Systems Now Hexadecimal Press Seminar, June 1983.

    Google Scholar 

  • Hannam, R.G. Capturing production engineering practice within a CADCAM system. Int. J. Prod. Res. 1984, Vol. 22 (2), pp. 267–280.

    Article  Google Scholar 

  • Hasemer, T. A Beginner’s Guide to LISP Addison-Wesley, Reading, Massachusetts, 1984.

    Google Scholar 

  • Hurley, R.B. Decision Tables in Software Engineering Van Nostrand Reinhold, New York, 1983.

    Google Scholar 

  • The Institution of Mechanical Engineers Artificial Intelligence—An Introduction Seminar, September 1985, London.

    Google Scholar 

  • Johnston, R. Expert fault finders need deep know how. Expert Systems User June 1985, pp. 14–15.

    Google Scholar 

  • Lawrence, A. Researchers at IBM back APL over LISP. Computing 2 May 1985, pp. 22–23.

    Google Scholar 

  • Mill, F. Process planning in manufacturing with intelligent knowledge-based systems Artificial Intelligence—An Introduction Seminar, September 1985, London.

    Google Scholar 

  • Milner, D.A. Application of the expert system concept in computer-aided manufacture. Production Engineer September 1985, pp. 15–16.

    Google Scholar 

  • Newell, A.; Shaw, J.C.; Simon, H.A. Preliminary description of General Problem Solving Program — I (GPS-I). Report CIP Working Paper 7, Carnegie Institute of Technology, Pittsburgh, PA, 1957.

    Google Scholar 

  • Sell, P.S. Expert Systems—A Practical Introduction Macmillan, 1985.

    Google Scholar 

  • Shortliffe, E.H. Computer Based Medical Consultations: MYCIN Elsevier, New York, 1976.

    Google Scholar 

  • Simmonds, W.H. Industrial applications of expert systems Expert System Fundamentals Sira Ltd.

    Google Scholar 

  • Simmons, M.K. Artificial intelligence for engineering design. Computer-Aided Engineering Journal April 1984, pp. 75–83.

    Google Scholar 

  • Simon, H. The Sciences of the Artificial 2nd edn, MIT Press, Cambridge, Massachusetts, 1982.

    Google Scholar 

  • Swift, K.; Matthews, A. Expert computer systems in engineering design Engineering Journal, September 1983.

    Google Scholar 

  • Taunton, J.C. Industrial application of expert systems. The Benefits to Industry of Expert Systems Sira Ltd.

    Google Scholar 

  • Wallace, M. Communicating with Databases in Natural Languages Ellis Horwood, Chichester, 1984.

    Google Scholar 

  • Wilensky, R. LISPcraft Norton & Co, 1984.

    Google Scholar 

  • Winston, P.H. Artificial Intelligence Addison-Wesley, Reading, Massachusetts, 1984.

    Google Scholar 

  • Winston, P.H. LISP Addison-Wesley, Reading, Massachusetts, 1981.

    Google Scholar 

Download references

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 1986 D A Milner and V C Vasiliou

About this chapter

Cite this chapter

Milner, D.A., Vasiliou, V.C. (1986). Artificial intelligence in manufacturing. In: Computer-Aided Engineering for Manufacture. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-6912-7_10

Download citation

  • DOI: https://doi.org/10.1007/978-1-4684-6912-7_10

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4684-6914-1

  • Online ISBN: 978-1-4684-6912-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics