Highlighted articles will be provided during the course
Links are shown in the conventional way
Berg, M., 1997, Formal Tools and Medical Practices: Getting Computer-Based Decision Techniques to Work, In: Bowker, GC, Star, SL, Turner, W and Gasser, L, (Eds.), 1997, Social Science, Technical Systems, and Cooperative Work: Beyond the Great Divide, New Jersey: Lawrence Erlbaum Associates.
Blackler, F., 1995, Knowledge, Knowledge Work and Organizations: An Overview and Interpretation, Organizational Studies, 16(6): 1021-1046.
Brachman, R., 1992, What is knowledge representation and where is it going, Lecture notes in computer science, 653: 189-203.
Buckman, RH, 1997, "Lions, Tigers, and Bears," Buckman Laboratories Knowledge Nurture Web site.
Byrd, T.A., Cossick, K.L. and Zmud, R.W., 1992, A synthesis of research on requirements analysis and knowledge acquisition techniques, MIS Quarterly, March: 117-138.
Chandrasekaran, B., 1986, Generic tasks in knowledge based reasoning: high level building blocks IEEE Expert, Fall: 32-30.
Clancey, W. J., 1985, Heuristic Classification. Artificial Intelligence, 27: 289-350.
Compton, P. and Jansen, R., 1990, A philosophical basis for knowledge acquisition, Knowledge Acquisition, 2(3): 241-257.
Cooke, N.J., 1994, Varieties of knowledge elicitation techniques, International Journal of Human-computer Studies, 41: 801-849.
Cordingly, E.S., 1989, Knowledge elicitation techniques for knowledge-based systems, In: D. Diaper, (Ed.), Knowledge Elicitation: Principles, Techniques and Applications, Ellis Horwood.
Dixon, N M, 2000, Common Knowledge: how companies thrive by sharing what they know. Harvard
Durkin, J., 1995, Expert Systems Design and Development, Prentice-Hall.
Feltovich, P.J., Ford, K.M. and Hoffman, R.R., 1997, Expertise in Context, MIT Press
Fodor, J.A., 1997, The Representational Theory of Mind, American Behavioral Scientist, 40(6): 829-841.
Ford, K.M., Bradshaw, J.M., Adams-Webber, J.R. and Agnew, N.M., 1993, Knowledge Acquisition as a Constructive Modeling Activity, International Journal of Intelligent Systems, 8: 9-32.
Ford, K.M., Bradshaw, J.M., Adams-Webber, J.R. and Agnew, N.M, 1993, Knowledge Acquisition as Modelling.
B. Gaines and J Boose (Eds.), Knowledge Acquisition for Knowledge-Based Systems, vols 1 and 2, London: Academic Press Ltd.
Guarino, N., 1995, Formal ontology, conceptual analysis and knowledge representation, International Journal of Human-computer Studies, 42: 625-640.
Harnad, S., 1990, The symbol grounding problem, Physica D 42: 335-346.
Hart, A., 1992 Knowledge Acquisition for Expert Systems.Kogan Page.
Hayes-Roth, F. and Jacobstein, N., 1994, The state of knowledge-based systems, Communications of the ACM, 37(3): 27-39.
Johnson, L. and Johnson, N.E., 1987, Knowledge Elicitation Involving Teachback Interviewing in Kidd, A.L., (Ed.), 1987, Knowledge Acquisition for Expert Systems: A Practical Handbook
Johnson, N.E., 1985, Varieties of Representation in Eliciting and Representing Knowledge for IKBS, Int. J. Systems Research and Info. Science Vol. 1, pp 69-90.
Johnson-Laird, P.N., 1988, The computer and the mind: an introduction to cognitive science, Fontana.
Kelly G.A., 1955, A Brief Introduction to Personal Construct Theory.
Kingston, J., 1992, Pragmatic KADS: a methodological approach to a small KBS project, Expert Systems, 9(4): 171180.
Kirsh, D, 1991, Foundations of AI: the big issues, Artificial Intelligence, 47, 3-30.
Kidd, A.L., 1987, (ed) Knowledge Acquisition - An Introductory Framework, in Kidd, A.L., (Ed.), 1987, Knowledge Acquisition for Expert Systems: A Practical Handbook, New York: Plenum.
LaFrance, M., 1992, Excavation, capture collection and creation: computer scientists’ metaphors for eliciting human expertise, Metaphor and symbolic activity, 7(3 and 4): 135-156.
Newell, A., 1982, The knowledge level. Artificial Intelligence, 18(1), p 87-127.
Newell, A., and Simon, H.A., 1976, Computer science as empirical inquiry: symbols and search, Communications of the ACM, 19 (3), March.
Pidgeon, N.F., Turner, B.A. and Blockley, D.I., 1991, The use of grounded theory for conceptual analysis in knowledge elicitation, Int. J. of Man-Machine Studies, August.
Rugg, G and McGeorge, P, 1997, The sorting techniques: a tutorial paper, Expert Systems, 14(2): 80-93.
Wielinga, B.J., Schreiber, A. Th. and Breuker, J.A., 1992, KADS: A modelling approach to knowledge engineering, Knowledge Acquisition, 4 (1).
Welbank, M. A., 1990, An overview of knowledge acquisition methods, Interacting with Computers 2 (1): 83-91.
MIND AND BODY: Rene Descartes to William James by Robert H. Wozniak (Discussion of the mind-body problem)
Adam, A., 1998, Artificial knowing: gender and the thinking machine, London: Routledge.
Agre, P., The soul gained and lost: Artificial Intelligence as a philosophical project, Harvard Humanities Review.
Button, G., Coulter, J., Lee, R.E. and Sharrock, W., 1995, Computers, Minds and Conduct, Cambridge: Polity Press.
Edelman, G., 1992, Bright Air, Brilliant Fire: On the Matter of the Mind, Harmondsworth: Penguin.
Weizenbaum, J., 1976, Computer Power and Human Reason: From Judgement to Calculation, Harmondsworth: Pelican
Winograd, T. and Flores, F., 1986, Understanding Computers and Cognition: A New Foundation for Design, Reading, MA: Addison-Wesley.
Expert Systems
Knowledge Acquisition
The Knowledge Engineering Review
International Journal of Human-computer Studies (formerly International Journal of Man-Machine Studies)
Calgary (repertory grids)
Stanford (ontologies)
Edinburgh
Open University
Amsterdam (KADS)