Abstract
Personal construct psychology is a theory of individual and group psychological and social processes that has been used extensively in knowledge acquisition research to model the cognitive processes of human experts. The psychology has the advantage of taking a constructivist position appropriate to the modeling of specialist human knowledge but basing this on a positivist scientific position that characterizes human conceptual structures in axiomatic terms that translate directly to computational form. The repertory grid knowledge elicitation methodology is directly derived from personal construct psychology. In its original form, this methodology was based on the notion of dichotomous constructs and did not encompass the ordinal relations between them captured in semantic net elicitation. However, it was extended in successive tools developed for applied knowledge acquisition and tested in a wide variety of applications. This paper gives an overview of personal construct psychology and its expression as an intensional logic describing the cognitive processes of anticipatory agents as a basis for a comprehensive theory of knowledge acquisition and representation.
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R.H. Abraham and C.D. Shaw, Dynamics: The Geometry of Behavior, Santa Cruz, California: Aerial Press. 1984.
J.R. Adams-Webber, Personal Construct Theory: Concepts and Applications, Chichester, UK: Wiley. 1979.
J.M. Anglin, Word, Object, and Conceptual Development, New York: Norton. 1977.
J.H. Boose, “Personal construct theory and the transfer of human expertise,” in Proceedings AAAI-84. American Association for Artificial Intelligence: California. p. 27–33, 1984.
J.H. Boose, Expertise Transfer for Expert Systems, Amsterdam: Elsevier. 1986.
J.H. Boose and J.M. Bradshaw, “Expertise transfer and complex problems: using AQUINAS as a knowledge acquisition workbench for knowledge-based systems,” International Journal of Man-Machine Studies, vol. 26, pp. 3–28, 1987.
A. Borgida, R.J. Brachman, D.L. McGuiness, and L.A. Resnick, “CLASSIC: a structural data model for objects,” in Proceedings of 1989 SIGMOD Conference on the Management of Data. ACM Press: New York. p. 58–67, 1989.
R.J. Brachman, “What's in a concept: structural foundations for semantic nets,” International Journal of Man-Machine Studies, vol. 9, pp. 127–152, 1977.
R.J. Brachman, “What IS-A is and isn't,” IEEE Computer, vol. 16, no. 10 pp. 30–36, 1983.
R.J. Brachman and J. Schmolze, “An overview of the KL-ONE knowledge representation system,” Cognitive Science, vol. 9, no. 2 pp. 171–216, 1985.
J.M. Bradshaw, J.H. Boose, S.P. Covington, and P.J. Russo, “How to do with grids what people say you can't,” in Proceedings of the Third AAAI Knowledge Acquisition for Knowledge-Based Systems Workshop, J.H. Boose and B.R. Gaines, Editor. University of Calgary: Banff. p. 3–1–3–15, 1988.
G.P. Copeland and S.N. Khoshafian, Identity and versions for complex objects. MCC Technical Report DB-138-86, Austin, Texas: MCC. 1986.
J. Diederich, I. Ruhmann, and M. May, “KRITON: A knowledge acquisition tool for expert systems,” International Journal of Man-Machine Studies, vol. 26, no. 1 pp. 29–40, 1987.
E. Domany, J.L. Hemmen, and K. Schulten, ed. Models of Neural Networks. Springer: Berlin. 1991.
L. Eshelman, D. Ehret, J. McDermott, and M. Tan, “MOLE: A tenacious knowledge acquisition tool,” International Journal of Man-Machine Studies, vol. 26, no. 1 pp. 41–54, 1987.
Euclid, The Elements, New York: Dover Publications. 1908.
K.M. Ford, A. Cañas, J. Jones, H. Stahl, J. Novak, and J. Adams-Webber, “ICONKAT: an integrated constructivist knowledge acquisition tool,” Knowledge Acquisition, vol. 3, no. 2 pp. 215–236, 1990.
F. Fransella and D. Bannister, ed. A Manual for Repertory Grid Technique. Academic Press: London. 1977.
G. Frege, “On sense and reference,” in Translations from the Philosophical Writings of Gottlieb Frege, P. Geach and M. Black, Editor. Basil Blackwell: Oxford. p. 56–78., 1970.
B.R. Gaines, “An ounce of knowledge is worth a ton of data: quantitative studies of the trade-off between expertise and data based on statistically well-founded empirical induction,” in Proceedings of the Sixth International Workshop on Machine Learning. Morgan Kaufmann: San Mateo, California. p. 156–159, 1989.
B.R. Gaines, “Empirical investigations of knowledge representation servers: Design issues and applications experience with KRS,” ACM SIGART Bulletin, vol. 2, no. 3 pp. 45–56, 1991.
B.R. Gaines, “An interactive visual language for term subsumption visual languages,” in IJCAI'91: Proceedings of the Twelfth International Joint Conference on Artificial Intelligence. Morgan Kaufmann: San Mateo, California. p. 817–823, 1991.
B.R. Gaines and M.L.G. Shaw, “New directions in the analysis and interactive elicitation of personal construct systems,” International Journal Man-Machine Studies, vol. 13, pp. 81–116, 1980.
B.R. Gaines and M.L.G. Shaw, “A programme for the development of a systems methodology of knowledge and action,” in General Systems Research and Design: Precursors and Futures, W.J. Reckmeyer, Editor. Society for General Systems Research: Louisville, Kentucky. p. 255–264, 1981.
B.R. Gaines and M.L.G. Shaw, “Hierarchies of distinctions as generators of system theories,” in Proceedings of the Society for General Systems Research International Conference, A.W. Smith, Editor. Society for General Systems Research: Louisville, Kentucky. p. 559–566, 1984.
B.R. Gaines and M.L.G. Shaw, “Induction of inference rules for expert systems,” Fuzzy Sets and Systems, vol. 18, no. 3 pp. 315–328, 1986.
B.R. Gaines and M.L.G. Shaw, “Cognitive and logical foundations of knowledge acquisition,” in Proceedings of the Fifth AAAI Knowledge Acquisition for Knowledge-Based Systems Workshop, J.H.&.G. Boose B.R., Editor. University of Calgary: Banff, Canada. p. 9–1–9–24, 1990.
B.R. Gaines and M.L.G. Shaw, “Integrated knowledge acquisition architectures,” Journal for Intelligent Information Systems, vol. 1, no. 1 pp. 9–34, 1992.
B.R. Gaines and M.L.G. Shaw, “Basing knowledge acquisition tools in personal construct psychology,” Knowledge Engineering Review, vol. 8, no. 1 pp. to appear, 1993.
C. Garg-Janardan and G. Salvendy, “A conceptual framework for knowledge elicitation,” International Journal of Man-Machine Studies, vol. 26, no. 4 pp. 521–531, 1987.
J.J.E. Gracia, “Individuals as instances,” Reviews of Metaphysics, vol. 37, no. 1 pp. 37–59, 1983.
W.S. Hatcher, The Logical Foundations of Mathematics, Oxford: Pergamon Press. 1982.
J.R. Hindley and J.P. Seldon, Introduction to Combinators and lamda-calculus, Cambridge, UK: Cambridge University Press. 1986.
D.N. Hinkle, The change of personal constructs from the viewpoint of a theory of implications. Ohio State University. 1965.
J. Hintikka, Knowledge and Belief, Ithaca, New York: Cornell University Press. 1962.
J. Hintikka, “The modes of modality,” Acta Philosophica Fennica, vol. 16, pp. 65–81, 1963.
W.P. Jones, “Bringing corporate knowledge into focus with CAMEO,” Knowledge Acquisition, vol. 2, no. 3 pp. 207–239, 1990.
G.A. Kelly, The Psychology of Personal Constructs, New York: Norton. 1955.
G.A. Kelly, “Aldous: the personable computer,” in Computer Simulation of Personality, S.S. Tomkins and S. Messick, Editor. Wiley: New York. p. 221–229, 1963.
G.A. Kelly, “A mathematical approach to psychology,” in Clinical Psychology and Personality: The Selected Papers of George Kelly, B. Maher, Editor. Wiley: New York. p. 94–113, 1969.
G.A. Kelly, “A brief introduction to personal construct theory,” in Perspectives in Personal Construct Theory, D. Bannister, Editor. Academic Press: London. p. 1–29, 1970.
G. Klinker, J. Bentolila, S. Genetet, M. Grimes, and J. McDermott, “KNACK— report-driven knowledge acquisition,” International Journal of Man-Machine Studies, vol. 26, no. 1 pp. 65–79, 1987.
D.R. Lachterman, The Ethics of Geometry, New York: Routledge. 1989.
E.J. Lemmon, C.A. Meredith, D. Meredith, A.N. Prior, and I. Thomas, “Calculi of pure strict implication,” in Philosophical Logic, J.W. Davis, D.J. Hockney, andW.K. Wilson, Editor. Reidel: Dordrecht, Holland. p. 215–250, 1969.
G.E.R. Lloyd, Polarity and Analogy, Cambridge, UK: Cambridge University Press. 1966.
S. Mac Lane, Categories for the Working Mathematician, New York: Springer-Verlag. 1971.
B. Maher, ed. Clinical Psychology and Personality: The Selected Papers of George Kelly. Wiley: New York. 1969.
J.C. Mancuso and J.R. Adams-Webber, ed. The Construing Person. Praeger: New York. 1982.
J.C. Mancuso and M.L.G. Shaw, ed. Cognition and Personal structure: Computer Access and Analysis. Praeger: New York. 1988.
R.B. Marcus, “Interpreting quantification,” Inquiry, vol. 5, pp. 252–259, 1962.
S. Marcus, “Taking backtracking with a grain of SALT,” International Journal of Man-Machine Studies, vol. 26, no. 4 pp. 393–398, 1987.
D. Maybury-Lewis and U. Almagor, ed. The Attraction of Opposites. University of Michigan Press: Ann Arbor. 1989.
A. Meinong, On Assumptions, Berkely: University of California Press. 1983.
J.N. Mohanty, Husserl and Frege, Bloomington, Indiana: Indiana University Press. 1982.
E. Motta, M. Eisenstadt, K. Pitman, and M. West, “Support for knowledge acquisition in the knowledge engineer's assistant (KEATS),” Expert Systems, vol. 5, no. 1 pp. 6–28, 1988.
B. Russell, “On denoting,” Mind, vol. 14, pp. 479–493, 1905.
B. Russell, History of Western Philosophy, London: Allen & Unwin. 1946.
S.C. Shapiro, “The SNePS semantic network processing system,” in Associative Networks: Representation and Use of Knowledge by Computers, N.V. Findler, Editor. Academic Press: New York. p. 179–203, 1979.
M.L.G. Shaw, “Conversational heuristics for enhancing personal understanding of the world,” in General Systems Research: A Science, A Methodology, A Technology, B.R. Gaines, Editor. Society for General Systems Research: Louisville, Kentucky. p. 270–277, 1979.
M.L.G. Shaw, On Becoming A Personal Scientist: Interactive Computer Elicitation of Personal Models Of The World, London: Academic Press. 1980.
M.L.G. Shaw, ed. Recent Advances in Personal Construct Technology. Academic Press: London. 1981.
M.L.G. Shaw and B.R. Gaines, “A computer aid to knowledge engineering,” in Proceedings of British Computer Society Conference on Expert Systems. British Computer Society: Cambridge. p. 263–271, 1983.
M.L.G. Shaw and B.R. Gaines, “KITTEN: Knowledge initiation and transfer tools for experts and novices,” International Journal of Man-Machine Studies, vol. 27, no. 3 pp. 251–280, 1987.
L.S. Vygotsky, Thought and Language, Cambridge, Massachusetts: MIT Press. 1934.
J.V. Wertsch, ed. Culture, Communication and Cognition: Vygotskian Perspectives. Cambridge University Press: Cambridge, UK. 1985.
J. Woods, The Logic of Fiction, The Hague: Mouton. 1974.
W.A. Woods, “What's in a link: Foundations for semantic networks,” in Representation and Understanding: Studies in Cognitive Science, D.G. Bobrow and A.M. Collins, Editor. Academic Press: New York. p. 35–82, 1975.
B. Woodward, “Knowledge engineering at the front-end: defining the domain,” Knowledge Acquisition, vol. 2, no. 1 pp. 73–94, 1990.
L.A. Zadeh, “The concept of state in system theory,” in Views on General Systems Theory: Proceedings of the Second Systems Symposium at Case Institute of Technology, M.D. Mesarovic, Editor. John Wiley: New York. 1964.
E.N. Zalta, Abstract Objects, Dordrecht:, Holland: Reidel. 1983.
E.N. Zalta, Intensional Logic and the Metaphysics of Intentionality, Cambridge, Massachusetts: MIT Press. 1988.
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Shaw, M.L.G., Gaines, B.R. (1993). Personal construct psychology foundations for knowledge acquisition and representation. In: Aussenac, N., Boy, G., Gaines, B., Linster, M., Ganascia, J.G., Kodratoff, Y. (eds) Knowledge Acquisition for Knowledge-Based Systems. EKAW 1993. Lecture Notes in Computer Science, vol 723. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57253-8_58
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