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First generation expert systems: a review of knowledge acquisition methodologies

Published online by Cambridge University Press:  07 July 2009

Ian M. Neale
Ian M. Neale
Affiliation:
ARIES at City, Room CM355, Centre for Insurance and investment Studies, The City University, Northampton Square, London EC1V 0HB
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Abstract

This paper reviews a wide range of knowledge acquisition techniques in the context of attempts to achieve a systematic methodology. These have been poorly documented by expert system builders, who are often inclined to overvalue textbooks and the ways experts themselves claim they solve problems. No one method has a universal advantage; each has some value. Techniques should be selected to suit the domain, the task, the expert and the knowledge engineer. Knowledge acquisition involves creating a conceptual model of expert knowledge and reasoning, from analysis of data elicited by these techniques. A survey of the literature indicates increasing emphasis on tools for knowledge acquisition, used directly by experts. Several projects currently directed towards providing a proper epistemological foundation for knowledge acquisition are discussed and compared. None has yet produced a complete epistemologically sound methodology; however, recognition of the need to create a conceptual model at the knowledge level (rather than the symbol level) is an important advance. An extensive bibliography is appended.

Type
Research Article
Information
The Knowledge Engineering Review , Volume 3 , Issue 2 , June 1988 , pp. 105 - 145
Copyright
Copyright © Cambridge University Press 1988

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References

Adelman, L (1987). “Toward considering psychological measurement issues when developing expert systems” Proceedings of the 1987 IEEE International Conference on Systems, Man and Cybernetics (Cat. No.87CH2503–1), Alexandria, VA, USA, 20–23 October 1987 (Piscataway, NJ: IEEE), 2 pp. 1044–1048.Google Scholar
Agnew, N McK, Brown, J L and Lynch, J G (1986). “Extending the reach of knowledge engineering” Future Computing Systems 1 (2) 115–141.Google Scholar
Aleksander, I (1984). Designing intelligent systems: an introduction, London: Kogan Page.Google Scholar
Alvey, P L and Greaves, M F (1987). “Observations on the development of a high performance system for leukaemia diagnosis” In: Research and development in expert systems III, Bramer, M A (Ed.). Cambridge: Cambridge University Press, pp. 99–110.Google Scholar
Anjewierden, A (1987). “Knowledge acquisition tools” AI Communications 0(1) 29–38 (08 1987). Also in: Proceedings of the First European Workshop on Knowledge Acquisition for Knowledge-Based Systems, Reading, UK, 2–3 September 1987, Reading: Reading University, section E2, pp. 1–12.CrossRefGoogle Scholar
Bailey, W A and Kay, E J (1986). “Toward the standard analysis of verbal data” Proceedings of the 1986 IEEE International Conference on Systems, Man and Cybernetics (Cat. No. 86CH2364–8), Atlanta, GA, USA, 14–17 10 1986, New York: IEEE, 1 pp. 582–587.Google Scholar
Bainbridge, L (1979). “Verbal reports as evidence of the process operator's knowledge” International journal of Man-Machine Studies 11 411–436.CrossRefGoogle Scholar
Bainbridge, L (1986). “Asking questions and accessing knowledge” Future Computing Systems 1 (2) 143–149.Google Scholar
Banathy, B H (1988). “Matching design methods to system type” Systems Research 5 (1) 27–34.CrossRefGoogle Scholar
Barnard, P, Wilson, M and Maclean, A (1986). “The elicitation of system knowledge by picture probes” In: Human factors in computing systems. Mantei, M and Orbeton, P (Eds.). Proceedings of CHI '86 Conference, Boston, MA, USA, 13–17 04 1986, New York, NY: ACM, pp. 235–240.Google Scholar
Barr, A (1983). “AI: cognition as computation” In: The study of information: interdisciplinary messages. Mach-lup, F and Mansfield, U (Eds.). New York, NY: John Wiley, pp. 237–262.Google Scholar
Basden, A (1984). “On the application of expert systems” In: Developments in expert systems, Coombs, M J (Ed.). London: Academic Press, pp. 59–75.Google Scholar
Bell, M Z (1985). “Why expert systems fail” Journal of the Operational Research Society 36 (7) 613–619.CrossRefGoogle Scholar
Bennett, J S (1985). “ROGET: a knowledge-based system for acquiring the conceptual structure of a diagnostic expert system” Journal of Automated Reasoning 1 49–74.CrossRefGoogle Scholar
Berry, D C (1987). “The problem of implicit knowledge” Expert Systems 4 (3) 144–151.CrossRefGoogle Scholar
Berry, D C and Broadbent, D E (1986). “Expert systems and the man-machine interface” Expert Systems 3 (4) 228–231.CrossRefGoogle Scholar
Berry, D C and Broadbent, D E (1987). “Expert systems and the man-machine interface. Part two: the user interface” Expert Systems 4 (1) 18–28.CrossRefGoogle Scholar
Bloomfield, B P (1986). “Capturing expertise by rule induction” Knowledge Engineering Review 1 (4) 30–36.CrossRefGoogle Scholar
Bloomfield, B P (1988). “Expert systems and human knowledge: a view from the sociology of science” AI & Society 2 (1) 17–29.CrossRefGoogle Scholar
Blythe, J (1987). “Machine learning as an aid to knowledge acquisition” Unpublished paper presented at FringES '87, British Computer Society Expert Systems '87 Conference, Brighton, UK, 14–17 12 1987.Google Scholar
Blythe, J, Needham, D and Corsi, P (1987). “An experimental protocol for the acquisition of examples for learning” Proceedings of the first European Workshop on Knowledge Acquisition for Knowledge-Based Sytems, Reading, UK, 2–3 09 1987, Reading: Reading University, section F1.Google Scholar
Bobrow, D G, Mittal, S and Stefik, M J (1986). “Expert systems: perils and promises” Communications of the ACM 29 (9) 880–894.CrossRefGoogle Scholar
Boose, J H (1985). “A knowledge acquisition program for expert systems based on personal construct psychology” international Journal of Man-Machine Studies 23 495–525.CrossRefGoogle Scholar
Boose, J H (1986a). Expertise transfer for expert system design, Amsterdam: Elsevier.Google Scholar
Boose, J H (1986b). “Rapid acquisition and combination of knowledge from multiple experts in the same domain” Future Computing Systems 1 (2) 191–216.Google Scholar
Boose, J H (1988). “A research framework for knowledge acquisition techniques and tools” In: Proceedings of the European Knowledge Acquisition Workshop (EKAW'88), Boose, J H, Gaines, B R and Linster, M (Eds.). Sankt Augustin, West Germany: GMD, pp. 10.1–10.13.Google Scholar
Boose, J H and Bradshaw, J M (1987). “Expertise transfer and complex problems: using AQUINAS as a knowledge-acquisition workbench for knowledge based systems” International Journal of Man-Machine Studies 26 3–28.CrossRefGoogle Scholar
Boose, J H, Gaines, B R and Linster, M (Eds.) (1988). Proceedings of the European Knowledge Acquisition Workshop (EKAW '88), Bonn, West Germany, 19–23 06 1988, Sankt Augustin, West Germany: GMD.Google Scholar
Boose, J H, Shema, D B and Bradshaw, J M (1988). “Recent progress in AQUINAS: a knowledge acquisition workbench. In: Proceedings of the European Knowledge Acquisition Workshop (EKA W '88), Boose, J H, Gaines, B R and Linster, M (Eds.). Sankt Augustin, West Germany: GMD, pp. 2.1–2.15.Google Scholar
Boothroyd, D (1986). “Shells the key to success” intelligence 3 2.Google Scholar
Brachman, R J et al. (1983). “What are expert systems?” In: Building expert systems, Hayes-Roth, F, Waterman, D A and Lenat, D B (Eds.). Reading, MA: Addison-Wesley, pp. 31–57.Google Scholar
Bramer, M A (Ed.) (1985). “Research and development in expert systems” Proceedings of the Fourth Technical Conference of the British Computer Society Specialist Group on Expert Systems,University of Warwick, UK,18–20 Dec 1984,Cambridge: Cambridge University Press.Google Scholar
Bramer, M A (1986). “Codifying rules of thumb” The Times Higher Education Supplement, 14 03 1986.Google Scholar
Bramer, M A (Ed.) (1987). “Research and development in expert systems III” Proceedings of Expert Systems '86, the Sixth Annual Technical Conference of the British Computer Society Specialist Group on Expert Systems, Brighton, UK, 15–18 December 1986,Cambridge:Cambridge University Press.Google Scholar
Bramer, M A (1987a). “Expert systems in business: a British perspective” First International Symposium on Artificial Intelligence and Expert Systems, Berlin, Germany, 05 1987.Google Scholar
Bramer, M A (1987b). “Automatic induction of rules from examples: a critical analysis of the ID3 family of rule induction systems” Proceedings of the first European Workshop on Knowledge Acquisition for Knowledge-Based Systems, Reading UK, 2–3 09 1987, Reading: Reading University, section F2, pp. 1–31.Google Scholar
Breuker, J A and Wielinga, B J (1983). “Analysis techniques for knowledge based systems. Part 2: methods for knowledge acquisition.” Report 1.2, Esprit Project 12 (Memorandum 13 of the Research Project “The Acquisition of Expertise”), 12 1983, Amsterdam: University of Amsterdam.Google Scholar
Breuker, J A and Wielinga, B J (1984). “Techniques for knowledge elicitation and analysis” Report 1.5, Esprit Project 12 (Memorandum 28 of the Research Project “The Acquisition of Expertise”), 07 1984, Amsterdam: University of Amsterdam.Google Scholar
Breuker, J A and Wielinga, B J (1987a). “Use of models in the interpretation of verbal data” In: Knowledge acquisition for expert systems: a practical handbook, Kidd, A L (Ed.), New York, NY: Plenum, pp. 17–44.CrossRefGoogle Scholar
Breuker, J A and Wielinga, B J (1987b). “Knowledge acquisition as modeling expertise: the KADS methodology” Proceedings of the first European Workshop on Knowledge Acquisition for Knowledge-Based Systems, Reading, UK, 2–3 09 1987, Reading: Reading University, section B1.Google Scholar
Breuker, J A et al. (1987). “Model-driven knowledge acquisition: interpretation models” Deliverable task Al, Esprit Project 1098, Amsterdam: University of Amsterdam.Google Scholar
Buchanan, B G (1986). “Expert systems: working systems and the research literature” Expert Systems 3(1) 32–51.CrossRefGoogle Scholar
Buchanan, B G and Duda, R O (1983). “Principles of rule-based expert systems” Advances in Computers 22 163–216.CrossRefGoogle Scholar
Buchanan, B G et al. (1983). “Constructing an expert system” In: Building expert systems, Hayes-Roth, F, Waterman, D A and Lenat, D B (Eds.). Reading, MA: Addison-Wesley, pp. 127–167.Google Scholar
Burton, A M and Shadbolt, N R (1987a). “Knowledge engineering” Technical report 87–2–1, Artificial Intelligence Group, Department of Psychology, University of Nottingham.Google Scholar
Burton, A M and Shadbolt, N R (1987b). “A formal evaluation of knowledge elicitation techniques for expert systems: domain 1” In: Knowledge acquisition for engineering applications, Pavelin, C J and Wilson, M D (Eds.), pp. 20–28.Google Scholar
Butler, A R and Chamberlin, G (1988). “The ARIES Club—experience of expert systems in insurance and investment” In: Research and development in expert systems IV, Moralee, D S (Ed.). Cambridge: Cambridge University Press, pp. 246–257.Google Scholar
Bylander, T and Chandrasekaran, B (1987). “Generic tasks for knowledge-based reasoning: the ‘right’ level of abstraction for knowledge acquisition” International Journal of Man-Machine Studies 26 231–243.CrossRefGoogle Scholar
Candy, L and Lunn, S (1988). “Design strategies for expert systems: a case study” Conference on Human and Organisational Issues of Expert Systems,Stratford-on-Avon, UK,4–6 May 1988 (sponsored by ICL and The Ergonomics Society).Google Scholar
Carbonell, J G (1985). “Derivational analogy: a theory of reconstructive problem solving and expertise acquisition” Report CMU-CS-85–115, Department of Computer Science, Carnegie-Mellon University, Pittsburgh, PA, USA.Google Scholar
Chandrasekaran, B (1983). “Towards a taxonomy of problem-solving types” AI Magazine 4 (1) 9–17.Google Scholar
Chandrasekaran, B (1986). “Generic tasks in knowledge-based reasoning: high-level building blocks for expert system design” IEEE Expert 1 (3) 23–30.CrossRefGoogle Scholar
Chandrasekaran, B (1987). “Towards a functional architecture for intelligence based on generic information processing tasks” Proceedings of the Tenth International Joint Conference on Artificial Intelligence (IJCAI-87), Milan, Italy, 23–28 August 1987.Los Altos, CA:Morgan Kaufman, 2 1183–1192.Google Scholar
Chandrasekaran, B and Goel, A (1988). “From numbers to symbols to knowledge structures: artificial intelligence perspectives on the classification task” IEEE Transactions on Systems, Man and Cybernetics 18 (3) 415–424.Google Scholar
Clancey, W J (1983). “The epistemology of a rule-based expert system—a framework for explanation” Artificial Intelligence 20 215–251.CrossRefGoogle Scholar
Clancey, W J (1985). “Heuristic classification” Artificial Intelligence 27 289–350.CrossRefGoogle Scholar
Clancey, W J and Letsinger, R (1981). “NEOMYCIN: reconfiguring a rule-based expert system for application to teaching” Proceedings of the Seventh International Joint Conference on Artificial Intelligence (IJCAI-81),Vancouver,Canada,24–28 August 1981, pp. 829–836.Google Scholar
Cleaves, D A (1987). “Cognitive biases and corrective techniques: proposals for improving elicitation procedures for knowledge-based systems” International Journal of Man-Machine Studies 27 155–166.CrossRefGoogle Scholar
Cochran, E L (1988). “KLAMSHell: a domain-specific knowledge acquisition shell” AAAI-88 Workshop on Integration of Knowledge Acquisition and Performance Systems, St. Paul, MN, USA, 21 08 1988.Google Scholar
Collins, H M, Green, R H and Draper, R C (1985). “Where's the expertise? Expert systems as a medium of knowledge transfer” In: Expert Systems 85 Merry, M (Ed.). Cambridge: Cambridge University Press pp. 323–334.Google Scholar
Cooke, N M (1985). “Modelling human expertise in expert systems” Memoranda in Computer and Cognitive Science MCCS-85–12, Computing Research Laboratory, New Mexico State University, Las Cruces, NM USA.Google Scholar
Cooke, N M and McDonald, J E (1986) “A formal methodology for acquiring and representing expert knowledge” Proceedings of the IEEE 74 (10) 1422–1430.CrossRefGoogle Scholar
Cooke, N M and McDonald, J E (1987). “The application of psychological scaling techniques to knowledge elicitation for knowledge-based systems” International Journal of Man-Machine Studies 26 533–550.CrossRefGoogle Scholar
Cookson, M J, Holman, J G and Thompson, D G (1985). “Knowledge acquisition for medical expert systems: a system for eliciting diagnostic decision making histories” In: Research and development in expert systems Bramer, M A (Ed.). Cambridge: Cambridge University Press, pp. 113–116.Google Scholar
Coombs, M J (Ed.) (1984). Developments in expert systems, London: Academic Press.Google Scholar
Coombs, M J and Alty, J L (1984). “Expert systems: an alternative paradigm” In: Developments in expert systems Coombs, M J (Ed.). London: Academic Press, pp. 135–157.Google Scholar
Currier, K (1986). “Softsync: Something old, something new” Report in IEEE Expert 1 (4) 83.Google Scholar
Darden, L (1987). “Viewing the history of science as compiled hindsight” AI Magazine 8 (2) 33–41.Google Scholar
Davies, M (1986). “A practical investigation of knowledge acquisition techniques” Report No. 72/86/R147/U, 04 1986; Plessey Electronic Systems Research Limited, Romsey, Hants, UK.Google Scholar
Davies, M and Hakiel, S (1988). “Knowledge harvesting: a practical guide to interviewing” Expert Systems 5 42–50.CrossRefGoogle Scholar
Davis, R (1979). “Interactive transfer of expertise: acquisition of new inference rules” Artificial Intelligence 12 121–157.Google Scholar
Diaper, D (1986). “Identifying the knowledge requirements of an expert system's natural language processing interface” In: People and computers: designing for usability, Harrison, M D and Mark, A F (Eds.). Proceedings of the Second Conference of the British Computer Society Human Computer Interaction Specialist Group, University of York, UK, 23–26 12 1986. Cambridge: Cambridge University Press, pp. 263–280.Google Scholar
Diaper, D (1987). “POMESS: a People Oriented Methodology for Expert System Specification” Proceedings of the first European Workshop on Knowledge Acquisition for Knowledge-Based Systems, Reading, UK, 2–3 09 1987. Reading, UK: Reading University section D4.Google Scholar
Diaper, D (Ed.) (1989). Knowledge elicitation: principles, techniques and applications, Chichester: Ellis Horwood, in press.Google Scholar
Diaper, D (1989a). “Designing expert systems: from Dan to Beersheba” In: Knowledge elicitation: principles, techniques and applications, Diaper, D (Ed.). Chichester: Ellis Horwood, in press.Google Scholar
Diederich, J (1987). “Knowledge-based elicitation” Proceedings of the Tenth International Joint Conference on Artificial Intelligence (IJCAI-87),Milan,Italy,23–28 August 1987. Los Altos, CA: Morgan Kaufmann, 1 201–204.Google Scholar
Diederich, J, Ruhman, I and May, M (1987a). “KRITON: a knowledge-acquisition tool for expert systems” International Journal of Man-Machine Studies 26 29–40.CrossRefGoogle Scholar
Diederich, J, Linster, M, Ruhman, I and Uthman, T (1987b). “A methodology for integrating knowledge acquisition techniques” Proceedings of the first European Workshop on Knowledge Acquisition for Knowledge-Based Systems, Reading, UK, 2–3 09 1987. Reading: Reading University, section E4.Google Scholar
Dillard, J F and Mutchler, J F (1987). “Expertise in assessing solvency problems” Expert Systems 4 (3) 170–179.CrossRefGoogle Scholar
Dym, C L (1987). “Issues in the design and implementation of expert systems” (AI EDAM): Artificial Intelligence for Engineering Design, Analysis and Manufacturing 1(1) 37–46.CrossRefGoogle Scholar
Easterby-Smith, M (1981). “The design, analysis and interpretation of repertory grids” In: Recent advances in personal construct psychology, Shaw, M L G (Ed.). London: Academic Press, pp. 9–30.Google Scholar
Eden, C and Jones, S (1984). “Using repertory grids for problem construction” Journal of the Operational Research Society 35 (9) 779–790.CrossRefGoogle Scholar
Eklund, P and Kuczora, P (1988). “An implementation of conceptual graphs for knowledge based systems development” Conference on Human and Organisational Issues of Expert Systems,Stratford-on-Avon,UK,4–6 May 1988 (sponsored by ICL and The Ergonomics Society).Google Scholar
Ellman, J (1987). “Practical experience of knowledge acquisition for expert systems” In: Knowledge acquisition for engineering applications, Pavelin, C J and Wilson, M D (Eds.), pp. 39–43.Google Scholar
Ericsson, K A and Simon, H A (1980). “Verbal reports as data” Psychological Review 87 (3) 215–251.CrossRefGoogle Scholar
Ericsson, K A and Simon, H A (1984). Protocol analysis: verbal reports as data, Cambridge, MA: The MIT Press.Google Scholar
Esfahani, L and Teskey, F N (1987). “KET, a knowledge encoding tool” Proceedings of the first European Workshop on Knowledge Acquisition for Knowledge-Based Systems, Reading, UK, 2–3 09 1987. Reading: Reading University, section E5.Google Scholar
Esfahani, L and Teskey, F N (1988). “A self-modifying rule-eliciter” In: Proceedings of the European Knowledge Acquisition Workshop (EKAW '88), Boose, J H, Gaines, B R and Linster, M (Eds.). Sankt Augustin, West Germany: GMD, pp. 16.1–16.16.Google Scholar
Eshelman, L, Ehret, D, McDermott, J and Tan, M (1987). “MOLE: a tenacious knowledge-acquisition tool” International Journal of Man-Machine Studies 26 41–54.CrossRefGoogle Scholar
Evans, J St B T (1987) “Human biases and computer decision-making: a discussion of Jacob et al.” Behaviour and Information Technology 6 (4) 483–487.CrossRefGoogle Scholar
Evans, J St B T (1988). “The knowledge elicitation problem: a psychological perspective” Behaviour and Information Technology 7 (2) 111–130.CrossRefGoogle Scholar
Feigenbaum, E A and McCorduck, P (1984). The fifth generation, London: Pan Books.Google Scholar
Fenn, J A, Worden, R P., Foote, M H and Willison, R G (1986). “An expert assistant for electromyography” Biomedical Measurement Information and Control 1 (4) 210–214.Google Scholar
Forsyth, R (1986). “Software review: Personal Consultant Plus” Expert Systems 3 (4) 244–247.CrossRefGoogle Scholar
Forsyth, R (1987). “Software review: Expertech Xi Plus” Expert Systems 4 (1) 48–51.CrossRefGoogle Scholar
Fox, J. (1984). “Doubts about induction” SPL-Insight Bulletin 2 (2) 32–36.Google Scholar
Fox, J (1986). “Three arguments for extending the framework of probability” In: Uncertainty in artificial intelligence, Kanal, L N and Lemmer, J F (Eds.). Amsterdam: North-Holland, pp. 447–458.CrossRefGoogle Scholar
Fox, J, Myers, C D, Greaves, M F and Pegram, S (1987). “A systematic study of knowledge base refinement in the diagnosis of leukaemia” In: Knowledge acquisition for expert systems: a practical handbook, Kidd, A. L. (Ed.). New York, NY: Plenum, pp. 73–90.Google Scholar
Fransella, F and Bannister, D (1977). A manual for repertory grid technique, London: Academic Press.Google Scholar
Gaines, B R (1987a). “Foundations of knowledge engineering” In: Research and development in expert systems III, Bramer, M A (Ed.). pp. 13–24.Google Scholar
Gaines, B R (1987b). “An overview of knowledge acquisition and transfer” International Journal of Man-Machine Studies 26 453–472.CrossRefGoogle Scholar
Gammack, J G (1987a). “Modelling expert knowledge using cognitively compatible structures” Third International Expert Systems Conference, London, UK, 2–4 06 1987. Oxford: Learned Information, pp. 191–200.Google Scholar
Gammack, J G (1987b). “Formalising implicit domain structure” In: Knowledge acquisition for engineering applications, Pavelin, C J and Wilson, M D (Eds.), pp. 29–38.Google Scholar
Gammack, J G (1987c). “Different techniques and different aspects on declarative knowledge” In: Knowledge acquisition for expert systems: a practical handbook, Kidd, A L (Ed.). New York, NY: Plenum, pp. 137–164.CrossRefGoogle Scholar
Gammack, J G and Young, R M (1985). “Psychological techniques for eliciting expert knowledge” In: Research and development in expert systems, Bramer, M A (Ed.). Cambridge: Cambridge University Press, pp. 105–112.Google Scholar
Garg-Janardan, C and Salvendy, G (1987). “A conceptual framework for knowledge elicitation” International Journal of Man-Machine Studies 26 521–531.CrossRefGoogle Scholar
Garg-Janardan, C and Salvendy, G (1988). “The contributions of cognitive engineering to the design and use of expert systems” Behaviour and Information Technology 7 323–342.CrossRefGoogle Scholar
Gevarter, W B (1987). “The nature and evaluation of commercial expert system building tools” Computer 20 (5) 24–41.CrossRefGoogle Scholar
Gleeson, J F J and West, M L J (1988). “CLINTE: Coopers & Lybrand International Tax Expert System” In: Research and development in expert systems IV, Moralee, D S (Ed.). Cambridge: Cambridge University Press, pp. 18–31.Google Scholar
Gold, J (1986). “Do-it-yourself expert systems” Computer Decisions 18 (2) 76–81.Google Scholar
Goodall, A (1985). The guide to expert systems, Oxford: Learned Information.Google Scholar
Gregory, D (1986). “Delimiting expert systems” IEEE Transactions on Systems, Man and Cybernetics SMC- 16 (6) 834–843.CrossRefGoogle Scholar
Grover, M D (1983). “A pragmatic knowledge acquisition methodology” Proceedings of the Eighth International Joint Conference on Artificial Intelligence (IJCAI-83),Karlsruhe,West Germany,8–12 August 1983, pp. 436–438.Google Scholar
Gruber, T R and Cohen, P R (1987). “Design for acquisition: principles of knowledge-system design to facilitate knowledge acquisition” International Journal of Man-Machine Studies 26 143–159.CrossRefGoogle Scholar
Hart, A (1985a). “Experience in the use of an inductive system in knowledge engineering” In: Research and development in expert systems, Bramer, M A (Ed.). Cambridge: Cambridge University Press, pp. 117–126.Google Scholar
Hart, A (1985b). “The role of induction in knowledge elicitation” Expert Systems 2 (1) 24–28.CrossRefGoogle Scholar
Hart, A (1985c). “Knowledge elicitation: issues and methods” Computer-Aided Design 17 (9) 455–462.CrossRefGoogle Scholar
Hart, A (1986). “Knowledge acquisition for expert systems”, London: Kogan Page.Google Scholar
Hart, A (1987a). “Automatic knowledge generation: possibilities and restrictions” In: Knowledge acquisition for engineering applications, Pavelin, C J and Wilson, M D (Eds.), pp. 56–67.Google Scholar
Hart, A. (1987b). “Role of induction in knowledge elicitation” In: Knowledge acquisition for expert systems: a practical handbook, Kidd, A L (Ed.). New York, NY: Plenum, pp. 165–190.CrossRefGoogle Scholar
Hart, A (1988). Expert systems for managers, London: Kogan Page.Google Scholar
Hartley, R (1981). “How expert should an expert system be?” Proceedings of the Seventh International Joint Conference on Artificial Intelligence (IJCAI-81),Vancouver,Canada,24–28 August 1981, pp. 862–867.Google Scholar
Hawkins, D (1983). “An analysis of expert thinking” International Journal of Man-Machine Studies 18 (1) 1–47.CrossRefGoogle Scholar
Hayball, C and Barlow, D (1988). “Skills support in the ICL Kidsgrove Bonding Shop—a case study in the application of the KADS methodology” Conference on Human and Organisational Issues of Expert Systems,Stratford-on-Avon,UK,4–6 May 1988 (sponsored by ICL and The Ergonomics Society).Google Scholar
Hayes-Roth, F, Waterman, D A and Lenat, D B (Eds.) (1983). Building expert systems, Reading, MA: Addison-Wesley.Google Scholar
Hayward, S A (1985). “Is a decision tree an expert system?” In: Research and development in expert systems, Bramer, M A (Ed.). Cambridge: Cambridge University Press, pp. 185–192.Google Scholar
Hayward, S A (1987). “Methodology: analysis and design for knowledge based systems”. Esprit Project 1098 Report STC-Y-RR-001(3.0). Harlow: STC.Google Scholar
Hayward, S A, Wielinga, B J, and Breuker, J A (1987). “Structured analysis of knowledge” International Journal of Man-Machine Studies 26 487–498.CrossRefGoogle Scholar
Hewett, J (1987). “Commercial progress in Europe” Third International Expert Systems Conference, London, UK, 2–4 06 1987, Oxford: Learned Information, pp. 159–164.Google Scholar
Hoffman, R R (1987). “The problem of extracting the knowledge of experts from the perspective of experimental psychology” AI Magazine 8 (2) 53–67.Google Scholar
Inder, R, Wai, H C P and Fraser, J (1987). “Towards a methodology for incremental system development” In: Knowledge acquisition for engineering applications, Pavelin, C J and Wilson, M D (Eds.), pp. 44–45.Google Scholar
Jackson, A (1985). “Teaching an American to play cricket” Datalink, 28 10 1985, p. 14.Google Scholar
Jackson, A (1986a). “The cost of coconuts” Datalink, 6 01 1986, p. 9.Google Scholar
Jackson, A (1986b). “A little learning is a dang'rous thing” Datalink, 3 02 1986, p. 10.Google Scholar
Jackson, A (1986c). “Inadmissible evidence” Datalink, 7 04, 1986, p. 10.Google Scholar
Jacob, V S, Gaultney, L D and Salvendy, G (1986). “Strategies and biases in human decision-making and their implications for expert systems” Behaviour and Information Technology 5 (2) 119–140.CrossRefGoogle Scholar
Jansen-Winkeln, R M (1988). “WASTL: an approach to knowledge acquisition in the natural language domain” In: Proceedings of the European Knowledge Acquisition Workshop (EKAW'88), Boose, J H, Gaines, B R and Linster, M (Eds.). Sankt Augustin, West Germany: GMD, pp. 22.1–22.15.Google Scholar
Jerrams-Smith, J (1987). “An expert system within a supportive interface for UNIX” Behaviour and Information Technology 6(1) 37–41.CrossRefGoogle Scholar
Johnson, L and Johnson, N E (1987a). “Research and methods in building knowledge systems at Brunel University” In: Knowledge acquisition for engineering applications, Pavelin, C J and Wilson, M D (Eds.), pp. 84–95.Google Scholar
Johnson, L and Johnson, N E (1987b). “Knowledge elicitation involving teachback interviewing” In: Knowledge acquisition for expert systems: a practical handbook, Kidd, A L (Ed.). New York, NY: Plenum, pp. 91–108.CrossRefGoogle Scholar
Johnson, N E (1985). “Varieties of representation in eliciting and representing knowledge for IKBS” International Journal of Systems Research and Information Science 1 69–90.Google Scholar
Johnson, N E (1987). “Mediating representations in knowledge elicitation” Proceedings of the first European Workshop on Knowledge Acquisition for Knowledge-Based Systems. Reading, UK, 2–3 09 1987, Reading: Reading University, section A2.Google Scholar
Johnson, P E, Zualkernan, I and Garber, S (1987). “Specification of expertise” International Journal of Man-Machine Studies 26 (2) 161–181.CrossRefGoogle Scholar
Josefson, I (1987). “Knowledge and experience” Applied Artificial Intelligence 1 (2) 173–180.CrossRefGoogle Scholar
Kahn, G, Nowlan, S and McDermott, J (1985a). “MORE: An intelligent knowledge acquisition tool” Proceedings of the Ninth International Joint Conference on Artificial Intelligence (IJCAI-85),Los Angeles, CA, USA,18–23 August 1985, pp. 581–584.Google Scholar
Kahn, G, Nowlan, S and McDermott, J (1985b). “Strategies for knowledge acquisition” IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI- 7 (5) 511–522.Google ScholarPubMed
Karbach, W and Tong, X (1988). “Filling in the knowledge acquisition gap: via KADs' models of expertise to ZDEST-2's expert system” In: Proceedings of the European Knowledge Acquisition Workshop (EKAW'88), Boose, J H, Gaines, B R and Linster, M (Eds.). Sankt Augustin, West Germany: GMD, pp. 31.1–31.17.Google Scholar
Kassirer, J P, Kuipers, B J and Gorry, G A (1982). “Towards a theory of clinical expertise” The American Journal of Medicine 73 251–259.Google Scholar
Kellett, J and Esfahani, L (1988). “Vegan and KET, an integrated graphical approach to knowledge representation and acquisition” Conference on Human and Organisational Issues of Expert Systems, Stratford-on-Avon, UK, 4–6 05 1988 (sponsored by ICL and The Ergonomics Society). See also a similar paper to appear in Knowledge Based Systems, 09 1988.Google Scholar
Kelly, G A (1955). The psychology of personal constructs (two volumes), New York, NY: W. W. Norton.Google Scholar
Keravnou, E T and Johnson, L (1986). Competent expert systems. A case study in fault diagnosis, London: Kogan Page.Google Scholar
Kessel, K L (1986). “Methodological tools for knowledge acquisition” Proceedings of the 1986 IEEE International Conference on Systems, Man and Cybernetics (Cat. No. 86CH2364–8), Atlanta, GA, USA, 14–17 October 1986,New York, NY:IEEE 1986, 1 pp. 541–546.Google Scholar
Kidd, A L (1987). “Knowledge acquisition—an introductory framework” In: Knowledge acquisition for expert systems: a practical handbook, Kidd, A L (Ed.). New York, NY: Plenum, pp. 1–16.CrossRefGoogle Scholar
Kidd, A L (Ed.) (1987). Knowledge acquisition for expert systems: a practical handbook, New York, NY: Plenum Press.CrossRefGoogle Scholar
Killin, J L and Hickman, F R (1986a). “Model formulation as analogy in complex domains”. Unpublished MS.Google Scholar
Killin, J L and Hickman, F R (1986b). “The role of phenomenological techniques of knowledge elicitation in complex domains”. Unpublished paper presented at Expert Systems '86 Conference, Brighton, UK, 15–18 12 1986.Google Scholar
Kitto, C M and Boose, J H (1987a). “Heuristics for expertise transfer: an implementation of a dialog manager for knowledge acquisition” International Journal of Man-Machine Studies 26 (2) 183–202.CrossRefGoogle Scholar
Kitto, C M and Boose, J H (1987b). “Choosing knowledge acquisition strategies for application tasks” WESTEX-87 Proceedings of the Western Conference on Expert Systems (Cat. No. 87CH2463–8), Anaheim, CA, USA, 2–4 06 1987, Washington, DC, USA: IEEE, pp. 96–103.Google Scholar
Klinker, G et al. (1987). “KNACK: report driven knowledge acquisition” International Journal of Man-Machine Studies 26 (1) 65–79.CrossRefGoogle Scholar
Kolodner, J L (1985). “Towards an understanding of the role of experience in the evolution from novice to expert” In: Developments in expert systems, Coombs, M J (Ed.). London: Academic Press, pp. 95–116.Google Scholar
Kornell, J (1987). “Formal thought and narrative thought in knowledge acquisition” International Journal of Man-Machine Studies 26 203–212.CrossRefGoogle Scholar
Kuipers, B J and Kassirer, J P (1984). “Causal reasoning in medicine: analysis of a protocol” Cognitive Science 8 363–385.CrossRefGoogle Scholar
Kuipers, B J, Moskowitz, A J and Kassirer, J P (1988). “Critical decisions under uncertainty: representation and structure” Cognitive Science 12 (2) 177–210.CrossRefGoogle Scholar
LaFrance, M (1987). “The Knowledge Acquisition Grid: a method for training knowledge engineers” International Journal of Man-Machine Studies 26 245–255.CrossRefGoogle Scholar
Lewis, C. (1982). “Using the ‘thinking aloud’ method in cognitive interface design”. Research report RC9265 (No 40713). Yorktown Heights, NY: Thomas J Watson Research Center, IBM.Google Scholar
Lehner, P E and Adelman, L (1987). “Biases in knowledge engineering” Proceedings of the 1987 IEEE International Conference on Systems, Man and Cybernetics (Cat. No. 87CH2503–1),Alexandria, VA, USA,20–23 October 1987. Piscataway, NJ: IEEE, 1 pp. 376–377.Google Scholar
Linster, M (1988). “KRITON: a knowledge elicitation tool for expert systems” In: Proceedings of the European Knowledge Acquisition Workshop (EKA W88), Boose, J H, Gaines, B R and Linster, M (Eds.). Sankt Augustin, West Germany: GMD, pp. 4.1–4.9.Google Scholar
Littman, D C (1987). “Modelling human expertise in knowledge engineering: some preliminary observations” International Journal of Man-Machine Studies 26 (1) 81–92.CrossRefGoogle Scholar
McDermott, J (1986). “Making expert systems explicit” Proceedings of the Tenth Congress of the International Federation of Information Processing Societies, Dublin, Ireland, 1986. Amsterdam: Elsevier, pp. 539–544.Google Scholar
McDermott, J (in press). “Preliminary steps towards a taxonomy of problem-solving methods” In: Automating knowledge acquisition for expert systems, Marcus, S (Ed.).Google Scholar
McDonald, J E and Schvaneveldt, R W (1987). “The application of user knowledge to interface design”. Memorandum in Computer and Cognitive Science MCCS-87–93. Las Cruces, NM: Computing Research Laboratory, New Mexico State University.Google Scholar
Marcus, S (1987). “Taking backtracking with a grain of SALT” International Journal of Man-Machine Studies 26 (3) 383–398.CrossRefGoogle Scholar
Marcus, S (Ed.) (in press). Automating knowledge acquisition for expert systems.Google Scholar
Marcus, S, Stout, J and McDermott, J (1988). “VT: An expert elevator designer that uses knowledge-based reasoning” AI Magazine 9 (1) 95–112.Google Scholar
Merry, M (Ed.). (1985). “Expert Systems 85” Proceedings of the Fifth Technical Conference of the British Computer Society Specialist Group on Expert Systems,University of Warwick,UK,17–19 December 1985, Cambridge: Cambridge University Press.Google Scholar
Mettrey, W (1987). “An assessment of tools for building large knowledge-based systems” AI Magazine 8 (4) 81–89.Google Scholar
Michalski, R S and Chilausky, R L (1980). “Knowledge acquisition by encoding expert rules versus computer induction from examples: a case study involving soybean pathology” International Journal of Man-Machine Studies 12 (1) 63–87.CrossRefGoogle Scholar
Michie, D (1986a). “Super Expert hits the UK”. Report in Expert Systems User 2 (9) 32.Google Scholar
Michie, D (1986b). “The superarticulacy phenomenon in the context of software manufacture” In: Expert systems: automating knowledge acquisition, Michie, D and Bratko, I.Wokingham: Addison-Wesley, pp. 21–44.Google Scholar
Michie, D et al. (1984). “RULEMASTER: a second generation knowledge engineering facility” First Conference on Artificial Intelligence Applications (Cat. No. 84CH2107–1),Denver, CO.USA,5–7 December 1984. Silver Spring, MD: IEEE, pp. 591–597. See also following reference.Google Scholar
Michie, D, Muggleton, S, Reise, C and Zubrick, S (1984). “RULEMASTER: a second generation knowledge engineering facility”. Radian Technical Report MI-R-623, December 1984. Austin, TX: Radian Corporation.Google Scholar
Milne, R (1987). “Strategies for diagnosis” IEEE Transactions on Systems, Man and Cybernetics SMC- 17 (3) 333–339.Google Scholar
Mingers, J (1987). “Expert systems—rule induction with statistical data” Journal of the Operational Research Society 38 (1) 39–47.Google Scholar
Mitchell, A A (1987). “The uses of alternative knowledge acquisition procedures in the development of a knowledge-based media planning system” International journal of Man-Machine Studies 26 399–411.CrossRefGoogle Scholar
Mittal, S and Dym, C L (1985). “Knowledge acquisition from multiple experts” AI Magazine 5 (2) 32–36.Google Scholar
Moller, J-U (1988). “Knowledge acquisition from texts” In: Proceedings of the European Knowledge Acquisition Workshop (EKAW'88), Boose, J H, Gaines, B R and Linster, M (Eds.). Sankt Augustin, West Germany: GMD, pp. 25.1–25.16.Google Scholar
Moralee, D S (Ed.) (1988). “Research and development in expert systems IV” Proceedings of Expert Systems '87, the Seventh Annual Technical Conference of the British Computer Society Specialist Group on Expert Systems,Brighton, UK,14–17 December 1987. Cambridge: Cambridge University Press.Google Scholar
Morik, K (1987a). “Acquiring domain models” International Journal of Man-Machine Studies 26 93–104.CrossRefGoogle Scholar
Morik, K (1987b). “Knowledge acquisition and machine learning—the issue of modelling” Proceedings of the first European Workshop on Knowledge Acquisition for Knowledge-Based Systems, Reading, UK, 2–3 09 1987. Reading: Reading University, section A4.Google Scholar
Motta, E, Eisenstadt, M, West, M, Pitman, K and Evertsz, R (1986). “KEATS: The knowledge engineer's assistant (Alvey Project IKBS/20)”. Final Project Report, HCRL Technical Report No. 20, 12 1986. Milton Keynes, UK: Human Cognition Research Laboratory, The Open University.Google Scholar
Motta, E, Eisenstadt, M, Pitman, K and West, M (1988). “Support for knowledge acquisition in the knowledge engineer's assistant”. HCRL Technical Report No. 30, 01 1988. Milton Keynes, UK: Human Cognition Research Laboratory, The Open University; also published in Expert Systems 5(1) 6–28.Google Scholar
Musen, M A, Fagan, L M, Combs, D M and Shortliffe, E H (1987). “Use of a domain model to drive an interactive knowledge-editing tool” Internationaljournal of Man-Machine Studies 26 105–121.CrossRefGoogle Scholar
Musen, M A (1988). “Conceptual models of interactive knowledge-acquisition tools” In: Proceedings of the European Knowledge Acquisition Workshop (EKAW '88), Boose, J H, Gaines, B R and Linster, M (Eds.). Sankt Augustin, West Germany: GMD, pp. 26.1–26.15.Google Scholar
Newell, A (1982). “The knowledge level” Artificial Intelligence 18 87–127.CrossRefGoogle Scholar
Newell, A and Simon, H A (1972). Human problem solving, Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
Niblett, T and Bratko, I (1987). “Learning decision rules in noisy domains” In: Research and development in expert systems III, Bramer, M A (Ed.). pp. 25–34.Google Scholar
Nisbett, R E and Wilson, T D (1977). “Telling more than we can know: verbal reports on mental processes” Psychological Review 84 (3) 231–259.CrossRefGoogle Scholar
Olson, J R and Rueter, H H (1987). “Extracting expertise from experts: methods for knowledge acquisition” Expert Systems 4 (3) 152–168.CrossRefGoogle Scholar
Partridge, D (1985). “Input-expectation discrepancy reduction: a ubiquitous mechanism” Proceedings of the Ninth International Joint Conference on Artificial Intelligence (IJCAI-85),Los Angeles, California, USA,18–23 August 1985, pp. 267–273.Google Scholar
Pask, G (1975). Conversation, cognition and learning: a cybernetic theory and methodology, Amsterdam: Elsevier.Google Scholar
Patel, V L and Groen, G J (1986). “Knowledge based solution strategies in medical reasoning” Cognitive Science 10 91–116.CrossRefGoogle Scholar
Pauker, S G, Gorry, G A, Kassirer, J P and Schwartz, M D (1976). “Towards the simulation of clinical cognition” The American Journal of Medicine 60 981–998.CrossRefGoogle ScholarPubMed
Pavelin, C J and Wilson, M D (Eds.) (1987). “Knowledge acquisition for engineering applications”. Rutherford Appleton Laboratory Report No. RAL-87–055. 07 1987. Didcot, UK: Rutherford Appleton Laboratory.Google Scholar
Perkin, R M E, Pitt, M and Price, A E (1987). “Expert systems: practical applications in a traditional industry” In: Research and development in expert systems III, Bramer, M A (Ed.). pp. 231–241.Google Scholar
Prerau, D S (1987). “Knowledge acquisition in the development of a large expert system” AI Magazine 8 (2) 43–51.Google Scholar
Quinlan, J R (1982). “Semi-autonomous acquisition of pattern-based knowledge” In: Introductory readings in expert systems, Michie, D (Ed.). New York, NY: Gordon and Breach, pp. 192–207.Google Scholar
Quinlan, J R (1986). “Induction of decision trees” Machine Learning 1 (1) 81–106.CrossRefGoogle Scholar
Regoczei, S and Plantinga, E P O (1987). “Creating the domain of discourse: ontology and inventory” International Journal of Man-Machine Studies 27 235–250.CrossRefGoogle Scholar
Reichgelt, H and van Harmelen, F (1986). “Criteria for choosing representation languages and control regimes for expert systems” Knowledge Engineering Review 1 (4) 2–17.CrossRefGoogle Scholar
Roycroft, A E and Loucopoulos, P (1985). “ACCI—an expert system for the apportionment of close companies' income” In: Research and development in expert systems, Bramer, M A (Ed.). pp. 127–139.Google Scholar
Saffiotti, A (1987). “An AI view of the treatment of uncertainty” Knowledge Engineering Review 2 (2) 75–97.CrossRefGoogle Scholar
Sandberg, J, Winkels, R and Breuker, J A (1988). “Knowledge acquisition for intelligent tutoring systems” In: Proceedings of the European Knowledge Acquisition Workshop (EKAW '88), Boose, J H, Gaines, B R and Linster, M (Eds.). Sankt Augustin, West Germany: GMD, pp. 27.1–27.12.Google Scholar
Schreiber, G, Bredeweg, B, Davoodi, M and Wielinga, B J (1987). “Towards a design methodology for KBS”. Deliverable D8, Esprit Project 1098, 11 1987, Amsterdam: University of Amsterdam.Google Scholar
Schreiber, G, Breuker, J A, Bredeweg, B and Wielinga, B J (1988). “Modelling in KBS development” In: Proceedings of the European Knowledge Acquisition Workshop (EKAW'88), Boose, J H, Gaines, B R and Linster, M (Eds.). Sankt Augustin, West Germany: GMD, pp. 7.1–7.15.Google Scholar
Schvaneveldt, R W, Durso, F T and Dearholt, D W (1985). “PATHFINDER: scaling with network structures”. Memorandum in Computer and Cognitive Science MCCS-85–9, Computing Research Laboratory, New Mexico State University, Las Cruces, NM, USA.Google Scholar
Schweickert, R et al. (1987). “Comparing knowledge elicitation techniques: a case study” Artificial Intelligence Review 1 (4) 245–253.CrossRefGoogle Scholar
Shadbolt, N R, Burton, A M, Hedgecock, A P and Rugg, G (1987). “Knowledge elicitation: an evaluation of techniques across experts”. Technical report 87–3–1, Artificial Intelligence Group, Department of Psychology, University of Nottingham, UK.Google Scholar
Shaw, M L G (Ed.) (1981). Recent advances in personal construct psychology, London: Academic Press.Google Scholar
Shaw, M L G and Gaines, B R (1986). “Interactive elicitation of knowledge from experts” Future Computing Systems 1 (2) 150–190. (Alternatively, see the authors' chapter in Kidd (1987) for a near-identical account).Google Scholar
Shaw, M L G and Gaines, B R (1987). “KITTEN: Knowledge initiation and transfer tools for experts and novices” Internationaljournal of Man-Machine Studies 27 251–280.CrossRefGoogle Scholar
Silva, A H and Regan, D C (1986). “Using cognitive psychology techniques for knowledge acquisition” Proceedings of the 1986 IEEE International Conference on Systems, Man and Cybernetics (Cat. No. 86CH2364–8),Atlanta, GA, USA,14–17 October 1986. New York, NY: IEEE 1986, 1 pp. 530–535.Google Scholar
Slatter, P E (1987). Building expert systems: cognitive emulation, Chichester: Ellis Horwood.Google Scholar
Smart, G (1987). “How to make expert systems … and stay in business” Third International Expert Systems Conference, London, UK, 2–4 06 1987. Oxford: Learned Information, pp. 215–222.Google Scholar
Soloway, E, Bachant, J and Jensen, K (1987). “Assessing the maintainability of XCON-in-RIME: coping with the problems of a very large rule base” Proceedings of the Sixth National Conference on Artificial Intelligence (AAAI-87),Seattle, Washington, USA,August 1987. Los Altos, CA: Morgan Kaufmann 2 pp. 824–829.Google Scholar
Sorenson, T and Nordhus, O (1988). “LOKE: a drill bit selection system” In: Research and development in expert systems IV, Moralee, D S (Ed.). pp. 32–41.Google Scholar
Sowa, J F (1984). Conceptual structures: information processing in mind and machine, Reading, MA: Addison-Wesley.Google Scholar
Sparck Jones, K (1985). “Natural language interfaces for expert systems: an introductory note” In: Research and development in expert systems, Bramer, M A (Ed.). Cambridge: Cambridge University Press, pp. 85–94.Google Scholar
Spradley, J P (1979). The ethnographic interview, New York, NY: Holt, Rinehart and Winston.Google Scholar
Stamper, R K (1988). “Pathologies of AI: responsible use of artificial intelligence in professional work” AI & Society 2 (1) 3–16.CrossRefGoogle Scholar
Sweller, J., Mawer, R F and Howe, W (1982). “Consequences of history-cued and means-end strategies in problem solving” American Journal of Psychology 95 455–483.CrossRefGoogle Scholar
Systems Designers Scientific (1986). Final report for the Alvey RESCU Awareness Club, Camberley: Systems Designers plc.Google Scholar
Thomas, M (1988). “Structured techniques for the development of expert systems” In Research and development in expert systems IV, Moralee, D S (Ed.). Cambridge: Cambridge University Press, pp. 258–266.Google Scholar
Trimble, E G and Cooper, C N (1987). “Experience of knowledge acquisition for expert systems in construction” In: Knowledge acquisition for engineering applications, Pavelin, C J and Wilson, M D (Eds.), pp. 7–13.Google Scholar
Tversky, A and Kahneman, D. (1974). “Judgement under uncertainty: heuristics and biases” Science 185 1124–1131.CrossRefGoogle ScholarPubMed
Twine, S (1988). “From information analysis towards knowledge analysis” In: Proceedings of the European Knowledge Acquisition Workshop (EKAW '88), Boose, J H, Gaines, B R and Linster, M (Eds.). Sankt Augustin, West Germany: GMD, pp. 6.1–6.15.Google Scholar
van Terheyden, A G R and Chalcraft, D A (1987). Combining inductive and deductive reasoning” Computer-Aided Engineering Journal 4 (1) 24–28.CrossRefGoogle Scholar
Waldron, V R (1985). “Process tracing as a method for initial knowledge acquisition” Proceedings of the Second IEEE Conference on Artificial Intelligence Applications: The Engineering of Knowledge-Based Systems (Cat. No. 85CH2215–2), Miami Beach, FL, USA, 11–13 12 1985, Washington DC: IEEE Comput. Soc. Press 1985, pp. 661–665.Google Scholar
Waterman, D A (1986). A guide to expert systems, Reading. MA: Addison-Wesley.Google Scholar
Welbank, M (1983). A review of knowledge acquisition techniques for expert systems, Ipswich: Martlesham Consultancy Services.Google Scholar
Welbank, M (1987). “Perspectives on knowledge acquisition” In: Knowledge acquisition for engineering applications, Pavelin, C J and Wilson, M D (Eds.), pp. 14–19.Google Scholar
White, A P (1987). “Probabilistic induction by dynamic path generation in virtual trees” In: Research and development in expert systems III, Bramer, M A (Ed.). pp. 35–46.Google Scholar
Wielinga, B J and Breuker, J A (1985). “Interpretation of verbal data for knowledge acquisition” In: Advances in artificial intelligence, O'Shea, T (Ed.). Amsterdam: North-Holland, pp. 3–12.Google Scholar
Wielinga, B J and Breuker, J A (1986). “Models of expertise” Proceedings of Seventh European Conference on Artificial Intelligence (ECAI '86),Brighton,July 1986 1 306–318.Google Scholar
Wilkins, D C, Buchanan, B G and Clancey, W J (1984). “Inferring an expert's reasoning by watching”. Heuristic Planning Project Report No. HPP-84–29. Department of Computer Science, Stanford University, Stanford, CA, USA.Google Scholar
Wilson, M D (1987). “Task analysis for knowledge acquisition” In: Knowledge acquisition for engineering applications, Pavelin, C J and Wilson, M D (Eds.), pp. 68–83.Google Scholar
Winograd, T and Flores, C F (1986). Understanding computers and cognition: a new foundation for design, Norwood, NJ: Ablex.Google Scholar
Winston, P H (1982). “Learning new principles from precedents and exercises” Artificial Intelligence 19 321–350.CrossRefGoogle Scholar
Winston, P H (1986). “‘Models rule’, Winston warns”. Report in Expert systems User 2 (9) 5.Google Scholar
Wood, S (1987). “Expert systems for theoretically ill-formulated domains” In: Research and development in expert systems III, Bramer, M A (Ed.). pp. 132–139.Google Scholar
Woods, D D (1986). “Cognitive technologies: the design of joint human-machine cognitive systems” AI Magazine 6 (4) 86–92.Google Scholar
Wright, G and Ayton, P (1987). “Eliciting and modelling expert knowledge” Decision Support Systems 3 (1) 13–26.CrossRefGoogle Scholar
Wyatt, J C and Emerson, P A (1988). “‘Pragmatic’ knowledge engineering: a new approach for difficult domains” Conference on Human and Organisational Issues of Expert Systems,Stratford-on-Avon, UK,4–6 May 1988 (sponsored by ICL and The Ergonomics Society).Google Scholar
Young, R M (1988). “Role of intermediate representations in knowledge elicitation” In: Research and development in expert systems IV, Moralee, D S (Ed.). Cambridge: Cambridge University Press, pp. 287–288.Google Scholar
Young, R M and Gammack, J G (1987). “Role of psychological techniques and intermediate representations in knowledge elicitation” Proceedings of the first European Workshop on Knowledge Acquisition for Knowledge-Based Systems, Reading, UK, 2–3 09 1987. Reading: Reading University, section D7.Google Scholar
Zimolong, B, Nof, S Y, Eberts, R E and Salvendy, G (1987). “On the limits of expert systems and engineering models in process control” Behaviour and Information Technology 6 (1) 15–36.CrossRefGoogle Scholar