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Applying Expert Systems Technology: Division of Labour and Division of Knowledge

  • Conference paper
Knowledge, Skill and Artificial Intelligence

Abstract

There is an abundance of promises to expert systems with user-friendly and intelligent interfaces providing cloned expertise for augmented job performance. A closer look reveals that very few systems are in operation, and that there is a serious gap between claims and reality. Basically, “knowledge engineering” is a modern form of “work study engineering”, and yet job and organizational design issues are rarely addressed in the literature on designing expert systems. This serious gap is discussed.

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References and Further Reading

  • Alvey P (1983) The problems of designing a medical expert system. Expert Systems 83, pp. 30–42 Cambridge University Press, Cambridge.

    Google Scholar 

  • Amick BC, III, Ostberg O (1987) Office automation, occupational stress and health: A literature analysis with specific attention to Expert Systems. Office: Technology and People 3: 191–209

    Google Scholar 

  • Bachant J, McDermott J (1985) RI revisited: four years in the trenches. AI Magazine 5 (3): 21–32

    Google Scholar 

  • Berry DC, Broadbent DE (1986) Expert systems and the Man-Machine Interface. Department of Psychology, University of Oxford, (ALV/PRJ/MMI/027)

    Google Scholar 

  • Bibel W ( 1985 Artificial intelligence in Europe. In Bibel W, Petkoff B (eds), Artificial Intelligence: Methodology, Systems, Applications, pp. 3–10, Elsevier Science, Amsterdam.

    Google Scholar 

  • Bobrow DG, Stefik M (1985) Knowledge-based programming. Alvey News ( Uk ), No 13: 13–14.

    Google Scholar 

  • Boose JH (1985) A knowledge acquisition program for expert systems based on personal construct psychology. Int. J Man-Machine Studies 23: 495–525

    Article  Google Scholar 

  • Buchana B (1986) Expert systems: working systems under the research literature Expert Systems 3: 32–51

    Google Scholar 

  • Bullinger H-J, (1985) Technology trend-a challenge to research and industry. Proceedings of 2nd International Conference on Human Factors in Manufacturing and 4th IAO Conference. pp. 21–35

    Google Scholar 

  • Card SK (1984) Human factors and the intelligent interface. Proceedings of Symposium on Combining Human and Artificial intelligence, Human factors Society Metropolitan Chapter, New York, November 15, 1984. (pp. 4–23).

    Google Scholar 

  • Coppola A (1984) Artificial intelligence applications to maintenance. Artificial intelligence in Maintenance. (AD-AI45 349), pp. 23 44. Denver Research Institute, Denver, Colorado

    Google Scholar 

  • d’Agapeyeff A (1984) Making a start: a review from British industry, in Expert Systems, pp. 3–13 Pergamon Infotech, Maidenhead, UK (State of the Art Report 12: 7 )

    Google Scholar 

  • Dreyfus HL, Dreyfus SE (1986a) Mind over Machine: The Power of Human Intuition and Expertise in the Era of Computers Free Press, New York

    Google Scholar 

  • Dreyfus HL, Dreyfus SE (1986b) Competent systems: the only future for inference-making computers. Future Generations Computer Systems 2: 233–244

    Article  Google Scholar 

  • Ernst ML, Ojha, H (1986) Business applications of artificial intelligence knowledge based expert systems. Future Generations Computer Systems 2: 173–185

    Article  Google Scholar 

  • Feigenbaum EA, McCorduck P (1983) The Fifth Generation, Reading, Addison-Wesley, MA

    Google Scholar 

  • Fox JM (1982) Software and its Development. Prentice-Hall, Englewood Cliffs, NJ

    Google Scholar 

  • Frese M, Zapf D (1987) Introducing new technology hardly changes skill level, job discretion or stressors. ( In German ). Zeitschrift für Arbeitswisenschaft 41: 7–14

    Google Scholar 

  • Frosher JN, Jacob RJK (1985) Designing expert systems for ease of change. Proceedings of IEEE Symposium on Expert Systems in Government, pp. 246–251. IEEE, Washington DC

    Google Scholar 

  • Gillett P (1987) Victory from the jaws of defeat. Alvey Conference Report (UK), p. 20 Cambridge University Press, Cambridge

    Google Scholar 

  • Gaines BR, Shaw MLG (1986) Foundations of dialog engineering: the development of human-computer interaction (ii) Int J Man-Machine Studies, 24: 101–123

    Google Scholar 

  • Hayes C, Wright P (1986) Automated planning in the machining domain In Lu SC-Y Komanduri R (eds) Knowledge-Based Expert Systems for Manufacturing, pp. 221–232. American Society of Mechanical Engineers, New York.

    Google Scholar 

  • Hayes-Roth F (1984a) Knowledge-based expert systems-the state of the art in the US In Expert Systems pp. 49–62 Pergamon Infotech, Maidenhead, UK (State of the Art Report 12: 7 )

    Google Scholar 

  • Hayes-Roth F (1984b) The machine as a partner of the new professional. IEEE Spectrum 21 (6), 28–31

    Google Scholar 

  • Hwang S-L, Salvendy G (1984) Human supervisory performance in flexible manufacturing systems. Proceedings of the Human Factors Society 28th Annual Meeting, 1984. (Pp. 664–669 )

    Google Scholar 

  • JMA (1983) Robotics and the Manager (Investigaton report from the Japanese Management Association; English edition). Fuji Corporation, Tokyo

    Google Scholar 

  • Karatsu H (1984) Aplicable fields and social impacts of advanced computer. ICOT Journal No 2: 2–12

    Google Scholar 

  • Kowalski R (1984) Software engineering and artificial intelligence in New Generation Computing. Future Generations Computer Systems 1: 39–49

    Article  Google Scholar 

  • Luger GF, Stubblefield, WA, (1987) Paradigm dependent human factors issues in expert system design. Proceedings of Expert Systems in Telecommunications. Human Factors Society Metropolitan Chapter, New York

    Google Scholar 

  • McDermott J (1982) R1: A rule-based configurer of computer systems. Artificial Intelligence, 19: 39–88

    Article  Google Scholar 

  • McDermott J (1986) Making expert systems explicit, pp 539–544. In Kugler H-J (ed), Information Processing. Elsevier Science, Amsterdam.

    Google Scholar 

  • Marcus M (1984) AI in 2010: the Impact on individuals of Just Another Important Technology. Office of Technology Assessment, US Congress, Washington DC. ( 9 November, Draft Report )

    Google Scholar 

  • Miller FD (1984) Introducing an expert system into the workplace. Proceedings of Symposium on Combining Human and Artificial Intelligence, pp. 41–51. Human FActors Society Metropolitan Chapter, New York.

    Google Scholar 

  • Mowshowitz A (1984) The Future with AI: Freedom and Community? Office of Technology Assessment, US Congress, Washington, DC ( 9 November, Draft Report )

    Google Scholar 

  • Mumford E (1987a) Managing complexity — the design and implementation of expert systems. (Unpublished). Manchester Business School, Manchester, UK.

    Google Scholar 

  • Mumford E (1987b) The successful design of expert systems — are means more important than ends? (Unpublished). Manchester Business School, Manchester, UK.

    Google Scholar 

  • Nilsson, N (1985) Artificial intelligence, employment, and income. Human Systems Management 5: 123–135

    Google Scholar 

  • Östberg O (1986) Expert systems in a social environment — human factors concerns. Proceedings of the Human Factors Society 30th Annual Meeting (pp. 739–743 )

    Google Scholar 

  • OTA (1987) Federal Funding for Artificial Intelligence Research and Development. Office of Technology Assessment, US Congress, Washington, DC. (Staff Paper )

    Google Scholar 

  • Parnas DL (1985) Software aspects of strategic defense systems. Am Sci. 73: 432–440

    Google Scholar 

  • Partridge D (1986) Will AI lead to a super software crisis? in Gill KLS (Ed), Artificial Intelligence for Society. Wiley, Chichester, UK (pp. 31–39 )

    Google Scholar 

  • Partridge D (1987) The scope and limitations of first generation expert systems. Future Generations Computer Systems, 3: 1–10.

    Article  Google Scholar 

  • Paul RP, Nof, SY (1979) Work measurement — a comparison between robot and human task performance. Int. J. Prod. Res. 17: 277–303

    Article  Google Scholar 

  • Raimondi D (1985) Insurer supporting commercially viable AI programming. Computerworld, 19 (21): 12–13

    Google Scholar 

  • Ramamoorthy CV, Prakash A, Tsai W-T, Usuda P (1984) Softward engineering: problems and perspective. Computer 17 (10): 191–209

    Article  Google Scholar 

  • Rifkin G (ed), (1985) Toward the Fifth Generation. Computerworld, Update 3–24,6 May Sandewall E (1978) Programming in an interactive environment: the ‘LISP’ experience. Computing Surveys 10: 35–71

    Google Scholar 

  • Scown, SE (1985) The Artificial Intelligence Experience: An Introduction. Digital Equipment Corporation, Maynard, MA

    Google Scholar 

  • Shank RC, quoted in Sanger, DE (1987) Computer fails as job-killer. The New York Times, Career section 5–611 October

    Google Scholar 

  • Smith C (1987) Arthur Andersen & Co. creates expert system mortgage loan analyzer for residential mortgages. Artificial Intelligence Letters (Texas Instruments), 3: 2–5

    Google Scholar 

  • Speller GJ, Brandon JA (1986) Ethical dilemmas constraining the use of Expert Systems. Behaviour and Information Technology. 5: 141–143

    Article  Google Scholar 

  • Sviokla JJ (1986a) Business implications of knowledge-based systems (1). Data Base 17 (4): 5–16

    Google Scholar 

  • Sviokla JJ (1986b) Business implications of knowledge-based systems. (11). Data Base 18 (1): 5–16

    Google Scholar 

  • Swartout WR (1983) XPLAIN; a system for creating and explaining expert consulting programs. Artificial Intelligence 21: 285–325

    Article  Google Scholar 

  • Thomas JC (1984) Artificial intelligence and human factors. Proceedings of Symposium on Combining Human and Artificial Intelligence, Human Factors Society Metropolitan Chapter, New York 15 November, 1984. pp. 54–66.

    Google Scholar 

  • Whitby B (1984) AI: some immediate dangers. In Yazdani M, Narayanan A (Eds) Artificial intelligence: human effects. Ellis Horwood, Chichester, UK pp. 235–245

    Google Scholar 

  • Woods DD (1986) Paradigms for intelligent decision support. In Hollnagel E, Mancini G, Woods DD, (eds), Intelligent decision support in process environments. Springer-Verlag, Berlin; pp 153–173

    Google Scholar 

  • Young RM (1984) Human interface aspects of expert systems. In Fox J (ed) Expert Systems. Pergamon Infotech, Maidenhead, UK, pp. 101–111 (State of the Art Report 12: 7 )

    Google Scholar 

  • Zuboff S (1985) Automate/informate: the two faces of intelligent technology. Organizational Dynamics, Autumn 1985, 4–18.

    Google Scholar 

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Authors
  1. O. Östberg
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Editor information

Editors and Affiliations

  1. Swedish Center for Working Life, Box 5606, S-11486, Sweden

    Bo Göranzon (Mathematician and Researcher) & Ingela Josefson DPhil (Linguist and Researcher) (Mathematician and Researcher) &  (Linguist and Researcher)

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© 1988 Springer-Verlag Berlin Heidelberg

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Östberg, O. (1988). Applying Expert Systems Technology: Division of Labour and Division of Knowledge. In: Göranzon, B., Josefson, I. (eds) Knowledge, Skill and Artificial Intelligence. The Springer Series on Foundations and Applications of Artificial Intelligence. Springer, London. https://doi.org/10.1007/978-1-4471-1632-5_16

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  • DOI: https://doi.org/10.1007/978-1-4471-1632-5_16

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-19519-1

  • Online ISBN: 978-1-4471-1632-5

  • eBook Packages: Springer Book Archive

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