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Wheatley, M.D. (1984)
Publisher: Institute of Transport Studies, University of Leeds
Languages: English
Types: Book
Subjects:
This report describes what expert systems are. It has been written to introduce the concepts involved, and to some extent the techniques, for those who have no previous acquaintance with such systems, but who are concerned with establishing quite what such systems might have to offer, and what is involved in developing them, in their field of application. Ways in which knowledge and uncertainty are represented in expert systems are described, and illustrated by reference to some existing expert systems. The report stems from a project designed to assess the potential for establishing expert systems in the transport field, and discusses the types of expert system package which might be useful in the remaining stages of the project. It includes a useful set of references and a g1ossary.A preliminary assessment of potential transport applications and the implications for the remainder of the project are described in a companion report, ITS Technical Note 145.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • 4.1.1 History. Initiated in 1965 as part of the Stanford Heuristic Programming Project, in conjunction with the Stanford Mass Spectrometry Laboratory.
    • 4.3.1 History. Developed at SRI International, California, the final report being published in 1978 (Duda et al, 1978).
    • Charniak, E., 'Toward a Model of Children's Comprehension', MIT A1 Lab. Report AI-TR-266, 1972.
    • Clocksin, W.F. and C.S. Mellish, 'Programming in PROLOG', Springer-Verlag, Berlin, 1981.
    • Cox, I.J., 'Expert Systems', Electronics and Power, Vol. 30, no. 3, March 1984.
    • Crossley, J.N., et al, 'What is Mathematical Logic?', Oxford University Press, 1972.
    • O.J., E.W. Dijkstra and C.A.R. Hoare, 'Structural Programming', Automatic Programming Information Centre, Studies in data processing 8.
    • Davies, R. and King, J., 'An Overview of Production Systems', in Machine Intelligence 8, pp 300-332, 1976.
    • Davies, R, B.G. Buchanan and E.H. Shortliffe, 'Production Rules as a Representation for a Knowledge-Based Consultation Program', Artificial Intelligence 8, Feb. 1977.
    • DeJong, G., 'Skimming Newspaper Stories by Computer', Proceedings of 5th IJCAI, 1977.
    • Duda, R.O., P.E. Hart and N.J. Nilsson, 'Subjective Bayesian Methods for Rule-based Inference Systems', Proc. National Computer Conference, pp. 1075-1082, 1976.
    • Duda, R.O., et al, 'Development of the Prospector System for Mineral Exploration', SRI International, Menlo Park, California, Oct. 1978.
    • Duda, R.O., J. Gasching and P. Hart, 'Model Design in the Prospector Consultant System', in 'Expert Systems in the Micro-Electronic Age', Michie, D. (Ed. ) , Edinburgh University Press, 1979.
    • Quinlan, J.R., 'Inferno: a cautious approach to uncertain inference', Computer Journal, No. 26, 1983.
    • Wigan, M.R. 'Expert systems and Prolog course'. Extracts from a report to the Australian Road Research Board. Technical -Note -133, -Inst. Transp. Stud.,Univ. Leeds, Leeds, 1984.
    • Winograd, T., 'Understanding Natural Language', Academic Pres, New York, 1972.
    • Zadeh, L., 'Fuzzy Sets', Information and Control 8, 1965.
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