Search
  • All Journals
Advanced Search
Search articles by Title, Author, Keywords, DOI
3.9CiteScore
1.3Impact Factor
Advanced Search
MAP  >  The Knowledge Engineering Review
1993 Volume 8
Article Contents
Next Previous
RESEARCH ARTICLE   Open Access    

Knowledge acquisition tools based on personal construct psychology

More Information
  • Abstract: Knowledge acquisition research supports the generation of knowledge-based systems through the development of principles, techniques, methodologies and tools. What differentiates knowledge-based system development from conventional system development is the emphasis on in-depth understanding and formalization of the relations between the conceptual structures underlying expert performance and the computational structures capable of emulating that performance.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 takes a constructivist position appropriate to the modelling of human knowledge processes, but develops this through the characterization of human conceptual structures in axiomatic terms that translate directly to computational form. In particular, there is a close correspondence between the intensional logics of knowledge, belief and action developed in personal construct psychology, and the intensional logics for formal knowledge representation developed in artificial intelligence research as term subsumption, or KL-ONE-like, systems.This paper gives an overview of personal construct psychology and its expression as an intensional logic describing the cognitive processes of anticipatory agents, and uses this to survey knowledge acquisition tools deriving from personal construct psychology.
  • 加载中
  • Abraham RH and Shaw CD, 1984. Dynamics: The Geometry of BehaviorAerial Press.

    Google Scholar

    Adams-Webber JR, 1979. Personal Construct Theory: Concepts and ApplicationsWiley.

    Google Scholar

    Anglin JM, 1977. Word, Object, and Conceptual DevelopmentNorton.

    Google Scholar

    Beyth-Marorn R and Dekel S, 1985. An Elementary Approach to Thinking Under UncertaintyLawrence Erlbaum.

    Google Scholar

    Boose JH, 1984. “Personal construct theory and the transfer of human expertise”. In: Proceedings AAAI-84, pp 27–33.

    Google Scholar

    Boose JH, 1986a. Expertise Transfer for Expert Systems, Elsevier.

    Google Scholar

    Boose JH, 1986c. “Rapid acquisition and combination of knowledge from multiple experts in the same domain” Future Computing Systems1 (2) 191–216.

    Google Scholar

    Boose JH and Bradshaw JM, 1987. “Expertise transfer and complex problems: using AQUINAS as a knowledge acquisition workbench for knowledge-based systems,” International Journal of Man-Machine Studies263–28.

    Google Scholar

    Boose JHBradshaw JM, Kitto CM and Shema DB, 1989. “From ETS to Aquinas: Six years of knowledge acquisition tool development”. In: Proceedings of EKAW-89: 3rd European Workshop on Knowledge Acquisition for Knowledge-Based Systems, Paris, pp 502–516. University of Paris.

    Google Scholar

    Boose JH, Bradshaw JM, Koszarek JL and Shema DB, 1992. “Better group decisions: using knowledge acquisition techniques to build richer decision models”. In: Proceedings of the 25th Annual Hawaii International Conference on System Sciences.

    Google Scholar

    Boose JH, Shema DB and Bradshaw JM, 1990. “Capturing design knowledge for engineering trade studies” Current Trends in Knowledge Acquisition, pp 78–89, IOS Press,.

    Google Scholar

    Borgida A, Brachman RJ, McGuiness DL and Resnick LA, 1989. “CLASSIC: a structural data model for objects”. In: Proceedings SIGMOD Conference on the Management of Data, pp 58–67.

    Google Scholar

    Brachman RJ, 1977. “What's in a concept: structural foundations for semantic nets” International Journal of Man-Machine Studies9127–152.

    Google Scholar

    Brachman RJ, 1983. “What IS-A is and isn't” IEEE Computer16(10) 30–36.

    Google Scholar

    Brachman RJ and Schmolze J, 1985. “An overview of the KL-ONE knowledge representation system” Cognitive Science9 (2) 171–216.

    Google Scholar

    Bradshaw JM, Boose JH, Covington SP and Russo PJ, 1988. “How to do with grids what people say you can't”. In: Proceedings 3rd AAAI Knowledge Acquisition for Knowledge-Based Systems Workshop, Banff, University of Calgary, pp 3-1–3-15.

    Google Scholar

    Bradshaw JM, Covington S, Russo P and Boose JH, 1990. “Knowledge acquisition techniques for intelligent decision systems: Integrating Axotl and Aquinas in DDUCKS” Uncertainty in Artificial Intelligence 5Elsevier.

    Google Scholar

    Cendrowska J, 1987. “An algorithm for inducing modular rules” International Journal of Man-Machine Studies27 (4) 349–370.

    Google Scholar

    Christaller Tdi Primio FSchnepf U and Voss A, (ed.), 1992. The Al Workbench Babylon: An Open and Portable Development Evironment for Expert Systems, Academic Press.

    Google Scholar

    Clancey WJ, 1991. “The knowledge level reinterpreted: modeling how systems interact” Machine Learning4 (3/4) 285–291.

    Google Scholar

    Clancey WJ and Roschelle J, 1991. “Situated cognition: how representations are created and given meaning” to appear Educational Psychologist.

    Google Scholar

    Coombs CH, Dawes RM and Tversky A, 1970. Mathematical Psychology, Prentice-Hall.

    Google Scholar

    CPCS, 1991. KSSO Manual. Centre for Person-Computer Studies, 2019 Underhill Drive, Calgary, Alberta, Canada T2N 4E4.

    Google Scholar

    Diederich J, Ruhmann I and May M, 1987. “KRITON: A knowledge acquisition tool for expert systems” International Journal of Man-Machine Studies26(1) 29–40.

    Google Scholar

    Domany E, Hemmen JL and Schulten K, (ed), 1991. Models of Neural NetworksSpringer Verlag.

    Google Scholar

    Eshelman L, Ehret D, McDermott J and Tan M, 1987. “MOLE: A tenacious knowledge acquisition tool” International Journal of Man-Machine Studies26(1) 41–54.

    Google Scholar

    Ford KM, Cañas A, Jones J, Stahl H, Novak J and Adams-Webber J, 1990. “ICONKAT: an integrated constructivist knowledge acquisition tool” Knowledge Acquisition3(2) 215–236.

    Google Scholar

    Fransella F and Bannister D, (ed.), 1977. A Manual for Repertory Grid Technique, Academic Press.

    Google Scholar

    Gaines BR, 1988. “Knowledge acquisition: developments and advances”. In: Expert Systems and Intelligent Manufacturing: Proceedings of the Second International Conference and the Leading Edge in Production Planning and Control, pp 410–434.

    Google Scholar

    Gaines BR, 1989. “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 6th International Workshop on Machine Learning pp 156–159.

    Google Scholar

    Gaines BR, 1991a “Empirical investigations of knowledge representation servers: Design issues and applications experience with KRS” ACM SIGART Bulletin2(3) 45–56.

    Google Scholar

    Gaines BR, 1991b. “Integrating rules in term subsumption knowledge representation servers” AAAI'91: Proceedings 9th National Conference on Artificial Intelligence pp 458–463.

    Google Scholar

    Gaines BR, 1991c. “An interactive visual language for term subsumption visual languages” IJCAI'91: Proceedings 12th International Joint Conference on Artificial Intelligence pp 817–823.

    Google Scholar

    Gaines BR, 1991d. “Organizational modeling and problem solving using an object-oriented knowledge representation server and visual language”. In: COCS'91: Proceedings of Conference on Organizational Computing Systems pp 80–94

    Google Scholar

    Gaines BR, 1992. “Modeling practical reasoning” (to appear in International Journal of Intelligent Systems).

    Google Scholar

    Gaines BR and Linster M, 1990. Development of second generation knowledge acquisition systems, IOS Press. pp 143–160.

    Google Scholar

    Gaines BR, Rappaport A and Shaw MLG, 1989. “A heterogeneous knowledge support system”. In: Proceedings of 4th AAAI Knowledge Acquisition for Knowledge-Based Systems Workshop, Calgary, Canada, pp 13-1–13-20.

    Google Scholar

    Gaines BR and Shaw MLG, 1980. “New directions in the analysis and interactive elicitation of personal construct systems” International Journal Man-Machine Studies1381–116.

    Google Scholar

    Gaines BR and Shaw MLG, 1986. “Induction of inference rules for expert systems” Fuzzy Sets and Systems18(3) 315–328.

    Google Scholar

    Gaines BR and Shaw MLG, 1990. “Cognitive and logical foundations of knowledge acquisition”. In: Proceedings of 5th AAAI Knowledge Acquisition for Knowledge-Based Systems WorkshopBanff, Canada, pp 9-1–9-24.

    Google Scholar

    Gaines BR and Shaw MLG, 1992. “Integrated knowledge acquisition architectures” Journal for lntelligent Information Systems1(1).

    Google Scholar

    Gaines BRShaw MLG and Woodward JB, 1992. “Modeling as a framework for knowledge acquisition methodologies and tools” (to appear in International Journal of Intelligent Systems).

    Google Scholar

    Garg-Janardan C and Salvendy G, 1987. “A conceptual framework for knowledge elicitation” International Journal of Man-Machine Studies26 (4) 521–531.

    Google Scholar

    Hinkle DN, 1965. The change of personal constructs from the viewpoint of a theory of implications. PhD thesis, Ohio State University.

    Google Scholar

    Hintikka J, 1962. Knowledge and BeliefCornell University Press.

    Google Scholar

    Hintikka J, 1963. “The modes of modality” Acta Philosophica Fennica1665–81.

    Google Scholar

    Jones WP, 1989. “Bringing corporate knowledge into focus with CAMEO” Knowledge Acquisition2(3)207–239.

    Google Scholar

    Kelly GA, 1955. The Psychology of Personal Constructs, Norton.

    Google Scholar

    Kelly GA, 1963. “Aldous: the personable computer” Computer Simulation of Personality, pp 221–229, Wiley.

    Google Scholar

    Kelly GA, 1969. “A mathematical approach to psychology”. In: Clinical Psychology and Personality: The Selected Papers of George Kelly, pp 94–113, Wiley.

    Google Scholar

    Kelly GA, 1970. “A brief introduction to personal construct theory”. In: Perspectives in Personal Construct Theory, pp 1–29, Academic Press.

    Google Scholar

    Klinker G, Bentolila J, Genetet S, Grimes M and Mc Dermott J, 1987. “KNACK—report-driven knowledge acquisition” International Journal of Man-Machine Studies26(1) 65–79.

    Google Scholar

    Lachterman DR, 1989. The Ethics of Geometry, Routledge.

    Google Scholar

    Linster M (ed.), 1991. Sisyphus Working Papers Part 2: Models of Problem SolvingGMD.

    Google Scholar

    Lloyd GER, 1966. Polarity and Analogy, Cambridge University Press.

    Google Scholar

    Mac Lane S, 1971. Categories for the Working Mathematician, Springer-Verlag.

    Google Scholar

    Maher B, (ed.), 1969. Clinical Psychology and Personality: The Selected Papers of George Kelly, Wiley.

    Google Scholar

    Mancuso JC and Shaw MLG, (eds.), 1988. Cognition and Personal structure: Computer Access and Analysis, Praeger.

    Google Scholar

    Marcus S, 1987. “Taking backtracking with a grain of SALT” International Journal of Man-Machine Studies26(4)393–398.

    Google Scholar

    Maybury-Lewis D and Almagor U, (eds.), 1989. The Attraction of Opposites, University of Michigan Press.

    Google Scholar

    McNamee P and Celona J, 1987. Decision Analysis for the Professional – With Supertree, Scientific Press.

    Google Scholar

    Motta E, Eisenstadt M, Pitman K and West M, 1988. “Support for knowledge acquisition in the knowledge engineer's assistant (KEATS)” Expert Systems5(1)6–28.

    Google Scholar

    Rappaport A, 1987. “Multiple-problem subspaces in the knowledge design process” International Journal of Man-Machine Studies26(4)435–452.

    Google Scholar

    Saaty TL, 1985. The Analytic Hierarchy Process, McGraw-Hill.

    Google Scholar

    Shapiro SC, 1979. “The SNePS semantic network processing system”. In: Associative Networks: Representation and Use of Knowledge by Computers, pp 179–203, Academic Press.

    Google Scholar

    Shaw MLG, 1979. “Conversational heuristics for enhancing personal understanding of the world”. In: General Systems Research: A Science, A Methodolgoy, A Technology, pp 270–277. Society for General Systems Research.

    Google Scholar

    Shaw MLG, 1980. On Becoming A Personal Scientist: Interactive Computer Elicitation of Personal Models Of The World. Academic Press.

    Google Scholar

    Shaw MLG, (ed), 1981. Recent Advances in Personal Construct Technology, Academic Press.

    Google Scholar

    Shaw MLG and Gaines BR, 1983. “A computer aid to knowledge engineering”. In: Proceedings of British Computer Society Conference on Expert Systems pp 263–271.

    Google Scholar

    Shaw MLG and Gaines BR, 1987. “KITTEN: Knowledge initiation and transfer tools for experts and novices” International Journal of Man-Machine Studies27(3)251–280.

    Google Scholar

    Shaw MLG and Gaines BR, 1989. “A methodology for recognizing conflict, correspondence, consensus and contrast in a knowledge acquisition system” Knowledge Acquisition1 (4) 341–363.

    Google Scholar

    Shaw MLG and Gaines BR, 1991a. “Extending electronic mail with conceptual modeling to provide group decision support”. In: COCS'91: Proceedings of Conference on Organization Computing Systems, pp 153–158.

    Google Scholar

    Shaw MLG and Gaines BR, 1991b. “Supporting personal networking through computer networking”. In: Proceedings of CHI'91: Human Factors in Computing Systems, pp 437–438.

    Google Scholar

    Shaw MLG and Woodward B, 1990. “Mental models in the knowledge acquisition process” Knowledge Acquisition2(3) 179–206.

    Google Scholar

    Slater P. (ed.), 1976. Dimensions of intrapersonal Space: Volume 1John Wiley.

    Google Scholar

    Slater P, (ed.), 1977. Dimensions of intrapersonal Space: Volume 2John Wiley.

    Google Scholar

    Sowa JF, 1984. Conceptual Structures: Information Processing in Mind and Machine, Adison-Wesley.

    Google Scholar

    Voβ A, Karbach W, Drouven U, Lorek D and Schuckey R, 1990. Operationalization of a synthetic problem. ESPRIT Basic Research Project P3178 REFLECT Task I.2.1 Report. GMD, Bonn.

    Google Scholar

    Woods WA, 1975. “What's in a link: Foundations for semantic networks”. In: Representation and Understanding: Studies in Cognitive Science, pp 35–82, Academic Press.

    Google Scholar

    Woodward B, 1990. “Knowledge engineering at the front-end: defining the domain” Knowledge Acquisition2 (1) 73–94.

    Google Scholar

    Zalta EN, 1988. Intensional Logic and the Metaphysics of Intentionality, MIT Press.

    Google Scholar

    Zwicky F, 1969. Discovery, Invention, Research through the Morphological Approach, Macmillan.

    Google Scholar

  • Cite this article

    Brian R. Gaines, Mildred L. G. Shaw. 1993. Knowledge acquisition tools based on personal construct psychology. The Knowledge Engineering Review. 8: doi: 10.1017/S0269888900000060
    Brian R. Gaines, Mildred L. G. Shaw. 1993. Knowledge acquisition tools based on personal construct psychology. The Knowledge Engineering Review. 8: doi: 10.1017/S0269888900000060
    shu
Download PDF

Article Metrics

Article views(60) PDF downloads(324)

Other Articles By Authors

RESEARCH ARTICLE   Open Access    

Knowledge acquisition tools based on personal construct psychology

  • Published online: 07 July 2009
The Knowledge Engineering Review  8,  Article number: 10.1017/S0269888900000060  (1993)  |  Cite this article

Abstract: Abstract: Knowledge acquisition research supports the generation of knowledge-based systems through the development of principles, techniques, methodologies and tools. What differentiates knowledge-based system development from conventional system development is the emphasis on in-depth understanding and formalization of the relations between the conceptual structures underlying expert performance and the computational structures capable of emulating that performance.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 takes a constructivist position appropriate to the modelling of human knowledge processes, but develops this through the characterization of human conceptual structures in axiomatic terms that translate directly to computational form. In particular, there is a close correspondence between the intensional logics of knowledge, belief and action developed in personal construct psychology, and the intensional logics for formal knowledge representation developed in artificial intelligence research as term subsumption, or KL-ONE-like, systems.This paper gives an overview of personal construct psychology and its expression as an intensional logic describing the cognitive processes of anticipatory agents, and uses this to survey knowledge acquisition tools deriving from personal construct psychology.

    HTML

    Rights and permissions
    • Copyright © Cambridge University Press 19931993Cambridge University Press
References (82)
  • About this article
    Cite this article
    Brian R. Gaines, Mildred L. G. Shaw. 1993. Knowledge acquisition tools based on personal construct psychology. The Knowledge Engineering Review. 8: doi: 10.1017/S0269888900000060
    Brian R. Gaines, Mildred L. G. Shaw. 1993. Knowledge acquisition tools based on personal construct psychology. The Knowledge Engineering Review. 8: doi: 10.1017/S0269888900000060
    shu

    • Catalog

      /

      DownLoad:  Full-Size Img  PowerPoint
      Return
      Return