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Knowledge acquisition tools based on personal construct psychology

  • Brian R. Gaines (a1) and Mildred L. G. Shaw (a1)

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.

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Abraham, RH and Shaw, CD, 1984. Dynamics: The Geometry of Behavior Aerial Press.
Adams-Webber, JR, 1979. Personal Construct Theory: Concepts and Applications Wiley.
Anglin, JM, 1977. Word, Object, and Conceptual Development Norton.
Beyth-Marorn, R and Dekel, S, 1985. An Elementary Approach to Thinking Under Uncertainty Lawrence Erlbaum.
Boose, JH, 1984. “Personal construct theory and the transfer of human expertise”. In: Proceedings AAAI-84, pp 2733.
Boose, JH, 1986a. Expertise Transfer for Expert Systems, Elsevier.
Boose, JH, 1986c. “Rapid acquisition and combination of knowledge from multiple experts in the same domainFuture Computing Systems 1 (2) 191216.
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 Studies 26 328.
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 502516. University of Paris.
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.
Boose, JH, Shema, DB and Bradshaw, JM, 1990. “Capturing design knowledge for engineering trade studies” Current Trends in Knowledge Acquisition, pp 7889, IOS Press,.
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 5867.
Brachman, RJ, 1977. “What's in a concept: structural foundations for semantic netsInternational Journal of Man-Machine Studies 9 127152.
Brachman, RJ, 1983. “What IS-A is and isn'tIEEE Computer 16(10) 3036.
Brachman, RJ and Schmolze, J, 1985. “An overview of the KL-ONE knowledge representation systemCognitive Science 9 (2) 171216.
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 3-13-15.
Bradshaw, JM, Covington, S, Russo, P and Boose, JH, 1990. “Knowledge acquisition techniques for intelligent decision systems: Integrating Axotl and Aquinas in DDUCKSUncertainty in Artificial Intelligence 5 Elsevier.
Cendrowska, J, 1987. “An algorithm for inducing modular rulesInternational Journal of Man-Machine Studies 27 (4) 349370.
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.
Clancey, WJ, 1991. “The knowledge level reinterpreted: modeling how systems interactMachine Learning 4 (3/4) 285291.
Clancey, WJ and Roschelle, J, 1991. “Situated cognition: how representations are created and given meaning” to appear Educational Psychologist.
Coombs, CH, Dawes, RM and Tversky, A, 1970. Mathematical Psychology, Prentice-Hall.
CPCS, 1991. KSSO Manual. Centre for Person-Computer Studies, 2019 Underhill Drive, Calgary, Alberta, Canada T2N 4E4.
Diederich, J, Ruhmann, I and May, M, 1987. “KRITON: A knowledge acquisition tool for expert systemsInternational Journal of Man-Machine Studies 26(1) 2940.
Domany, E, Hemmen, JL and Schulten, K, (ed), 1991. Models of Neural Networks Springer Verlag.
Eshelman, L, Ehret, D, McDermott, J and Tan, M, 1987. “MOLE: A tenacious knowledge acquisition toolInternational Journal of Man-Machine Studies 26(1) 4154.
Ford, KM, Cañas, A, Jones, J, Stahl, H, Novak, J and Adams-Webber, J, 1990. “ICONKAT: an integrated constructivist knowledge acquisition toolKnowledge Acquisition 3(2) 215236.
Fransella, F and Bannister, D, (ed.), 1977. A Manual for Repertory Grid Technique, Academic Press.
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 410434.
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 156159.
Gaines, BR, 1991a “Empirical investigations of knowledge representation servers: Design issues and applications experience with KRSACM SIGART Bulletin 2(3) 4556.
Gaines, BR, 1991b. “Integrating rules in term subsumption knowledge representation servers” AAAI'91: Proceedings 9th National Conference on Artificial Intelligence pp 458463.
Gaines, BR, 1991c. “An interactive visual language for term subsumption visual languages” IJCAI'91: Proceedings 12th International Joint Conference on Artificial Intelligence pp 817823.
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 8094
Gaines, BR, 1992. “Modeling practical reasoning” (to appear in International Journal of Intelligent Systems).
Gaines, BR and Linster, M, 1990. Development of second generation knowledge acquisition systems, IOS Press. pp 143160.
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 13-113-20.
Gaines, BR and Shaw, MLG, 1980. “New directions in the analysis and interactive elicitation of personal construct systemsInternational Journal Man-Machine Studies 13 81116.
Gaines, BR and Shaw, MLG, 1986. “Induction of inference rules for expert systemsFuzzy Sets and Systems 18(3) 315328.
Gaines, BR and Shaw, MLG, 1990. “Cognitive and logical foundations of knowledge acquisition”. In: Proceedings of 5th AAAI Knowledge Acquisition for Knowledge-Based Systems Workshop Banff, Canada, pp 9-19-24.
Gaines, BR and Shaw, MLG, 1992. “Integrated knowledge acquisition architecturesJournal for lntelligent Information Systems 1(1).
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).
Garg-Janardan, C and Salvendy, G, 1987. “A conceptual framework for knowledge elicitationInternational Journal of Man-Machine Studies 26 (4) 521531.
Hinkle, DN, 1965. The change of personal constructs from the viewpoint of a theory of implications. PhD thesis, Ohio State University.
Hintikka, J, 1962. Knowledge and Belief Cornell University Press.
Hintikka, J, 1963. “The modes of modalityActa Philosophica Fennica 16 6581.
Jones, WP, 1989. “Bringing corporate knowledge into focus with CAMEOKnowledge Acquisition 2(3)207239.
Kelly, GA, 1955. The Psychology of Personal Constructs, Norton.
Kelly, GA, 1963. “Aldous: the personable computer” Computer Simulation of Personality, pp 221229, Wiley.
Kelly, GA, 1969. “A mathematical approach to psychology”. In: Clinical Psychology and Personality: The Selected Papers of George Kelly, pp 94113, Wiley.
Kelly, GA, 1970. “A brief introduction to personal construct theory”. In: Perspectives in Personal Construct Theory, pp 129, Academic Press.
Klinker, G, Bentolila, J, Genetet, S, Grimes, M and Mc, Dermott J, 1987. “KNACK—report-driven knowledge acquisitionInternational Journal of Man-Machine Studies 26(1) 6579.
Lachterman, DR, 1989. The Ethics of Geometry, Routledge.
Linster, M (ed.), 1991. Sisyphus Working Papers Part 2: Models of Problem Solving GMD.
Lloyd, GER, 1966. Polarity and Analogy, Cambridge University Press.
Mac, Lane S, 1971. Categories for the Working Mathematician, Springer-Verlag.
Maher, B, (ed.), 1969. Clinical Psychology and Personality: The Selected Papers of George Kelly, Wiley.
Mancuso, JC and Shaw, MLG, (eds.), 1988. Cognition and Personal structure: Computer Access and Analysis, Praeger.
Marcus, S, 1987. “Taking backtracking with a grain of SALTInternational Journal of Man-Machine Studies 26(4)393398.
Maybury-Lewis, D and Almagor, U, (eds.), 1989. The Attraction of Opposites, University of Michigan Press.
McNamee, P and Celona, J, 1987. Decision Analysis for the Professional – With Supertree, Scientific Press.
Motta, E, Eisenstadt, M, Pitman, K and West, M, 1988. “Support for knowledge acquisition in the knowledge engineer's assistant (KEATS)Expert Systems 5(1)628.
Rappaport, A, 1987. “Multiple-problem subspaces in the knowledge design processInternational Journal of Man-Machine Studies 26(4)435452.
Saaty, TL, 1985. The Analytic Hierarchy Process, McGraw-Hill.
Shapiro, SC, 1979. “The SNePS semantic network processing system”. In: Associative Networks: Representation and Use of Knowledge by Computers, pp 179203, Academic Press.
Shaw, MLG, 1979. “Conversational heuristics for enhancing personal understanding of the world”. In: General Systems Research: A Science, A Methodolgoy, A Technology, pp 270277. Society for General Systems Research.
Shaw, MLG, 1980. On Becoming A Personal Scientist: Interactive Computer Elicitation of Personal Models Of The World. Academic Press.
Shaw, MLG, (ed), 1981. Recent Advances in Personal Construct Technology, Academic Press.
Shaw, MLG and Gaines, BR, 1983. “A computer aid to knowledge engineering”. In: Proceedings of British Computer Society Conference on Expert Systems pp 263271.
Shaw, MLG and Gaines, BR, 1987. “KITTEN: Knowledge initiation and transfer tools for experts and novicesInternational Journal of Man-Machine Studies 27(3)251280.
Shaw, MLG and Gaines, BR, 1989. “A methodology for recognizing conflict, correspondence, consensus and contrast in a knowledge acquisition systemKnowledge Acquisition 1 (4) 341363.
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 153158.
Shaw, MLG and Gaines, BR, 1991b. “Supporting personal networking through computer networking”. In: Proceedings of CHI'91: Human Factors in Computing Systems, pp 437438.
Shaw, MLG and Woodward, B, 1990. “Mental models in the knowledge acquisition processKnowledge Acquisition 2(3) 179206.
Slater, P. (ed.), 1976. Dimensions of intrapersonal Space: Volume 1 John Wiley.
Slater, P, (ed.), 1977. Dimensions of intrapersonal Space: Volume 2 John Wiley.
Sowa, JF, 1984. Conceptual Structures: Information Processing in Mind and Machine, Adison-Wesley.
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.
Woods, WA, 1975. “What's in a link: Foundations for semantic networks”. In: Representation and Understanding: Studies in Cognitive Science, pp 3582, Academic Press.
Woodward, B, 1990. “Knowledge engineering at the front-end: defining the domainKnowledge Acquisition 2 (1) 7394.
Zalta, EN, 1988. Intensional Logic and the Metaphysics of Intentionality, MIT Press.
Zwicky, F, 1969. Discovery, Invention, Research through the Morphological Approach, Macmillan.
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The Knowledge Engineering Review
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