Zusammenfassung
Die bisherige Praxis der Wissensakquisition geht von letztlich intuitiv gewählten Wissensarten aus. Eine systematische und wirtschaftliche Faktoren berücksichtigende Konstruktion ist damit höchstens zufällig zu erreichen; die Methodik des Vorgehens ist überdies so nicht lehrbar. Es wird stattdessen eine phasenorientierte Konstruktionssystematik für Wissensbasen vorgeschlagen, die aus dem allgemeinen ingenieurwissenschaftlichen Vorgehen der Konstruktion technischer Systeme hervorgeht.
Abstract
The currently used practise of knowledge aquisition is based on a finally intuitive selection of knowledge types. In this way, a systematic construction taking account for economic factors can only be approached incidently. Moreover, this procedure of knowledge acquisition is not teachable. A systematic, phase oriented construction method for knowledge bases is presented instead. The method stems from the established principles of civil engineering of technical systems.
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Literaturverzeichnis
Barstow, D., Maxims for Knowledge Engineering Stanford University 1978, HPP Memo
Bobrow, D.G./Mittal, S./Stefik, M.J. Expert Systems: Perils and Promise ACM Communications 29 (1986), p. 880–894
Boose J.H., Personal Construct Theory and the Transfer of Human Expertise, AAAI 1984, p. 27–33
Booch, G., Object Oriented Development IEEE Transactions Software Engineering 12 (1986), p. 211–221
Borgida, A., Features of Languages for the Development of Information Systems at the Conceptual Level IEEE Software 2 (1985), No. 1, p. 63–72
Brachman, R.J./Levesque, H.J. The Tractability of Subsumption in Frame-Based Description Languages, AAAI 1984, p. 34–37
Buchanan, B.G./Shortliffe, E.H. Rule-Based Expert Systems - The MYCIN Experiments of the Stanford Heuristic Programming Project, Addison-Wesley 1985
Cheng, Y./Fu, K.S. Conceptual Clustering in Knowledge Organization IEEE 1. Conference on AI Applications 1984, p. 274–279
Doyle J., Expert Systems and the Myth of Symbolic Reasoning IEEE Transactions Software Engineering 11 (1985), p. 1386–1390
Eshelman, I./McDermott, J. MOLE: A Knowledge Acquisition Tool that Uses Its Head, AAAI 1986, p. 950–955
Goldberg, A., SMALLTALK 80 - The Interactive Programming Environment, Addison Wesley 1983
Hubka, V. Theorie technischer Systeme, Springer Verlag 1984, 2. Auflage
Hayes-Roth, F./Waterman, Donald A./Lenat D.B. Building Expert Systems, Addison-Wesley 1983
Kahn, G./Nowlan, S./McDermott, J. Strategies for Knowledge Acquisition IEEE Transaction Pattern Analysis and Machine Intelligence, p. 511–522
Lafue, G.M.E./Smith R.G. A Modular Kit for Knowledge Management, IJCAI 1985, p. 46–52
Lutze, R., Softwaretechnologie - Lösungen und neue Probleme NTG Fachberichte Bd. 97, p. 51–60, vde Verlag 1986
Michie D./Muggleton, S./Riese, C./Zubrick, S. RULEMASTER: A Second Generation Knowledge Engineering Facility IEEE 1. Conference on AI Applications 1984, p. 591–597
Morriss C.W., Foundations of the Theory of Signs The University of Chicago Press 1938
Nguyen. T.A./Perkins, W.A./Lafffey, T.J./Pecora, D. Checking an Expert Systems Knowledge Base for Consistency and Completeness, IJCAI 1985, p. 375–378
Neches, R./Swartout W.R./Moore, J. Explainable (and Maintainable) Expert Systems IJCAI 1985, p. 383–389
Pahl,G./Beitz, W., Konstruktionslehre, Springer Verlag 1977
Politakis,P./Weiss, S.M. Using Empirical Analysis to Refine Expert System Knowledge Bases, AI Journal 22 (1984), 23–48
Prerau, D.S., The Selection of an Appropriate Domain for an Expert System, AI Magazine, Summer 1985, p. 26–30
Schmolze, J.G./Lipkis, T.A., Classification in the KL-ONE Knowlege Representation, IJCAI 1983, p. 330–332
Smith R.G./Dinitz, R./Barth, P. IMPULSE-86-A Substrate for Object Oriented Interface Design ACM (OOPSLA 86) SIGPLAN Notices 21 (1986), No. 11, p. 167–176
Marcus, S./McDermott J./Wang, T. Knowledge Acquisition for Constructive Systems IJCAI 1985, p. 67–639
Suwa, M./Scott, C.A./Shortliffe, E.H. An Approach to Verifying Completeness and Consistency in a Rule-Based Expert System, AI Magazine, Herbst ‘82, p. 16–21
Stefik, M., Planning with Constraints (MOLGEN: Part I) & Planning and Meta Planning (MOLGEN: Part II) AI 16(1981)p. 111–140 + 141–170
Steels, L., Second Generation Expert Systems Future Generation Computer Systems 3 (1986), p. 213–221
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© 1987 Springer Fachmedien Wiesbaden
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Lutze, R. (1987). Von der Wissensakquisition zur Phylogenese wissensbasierter Systeme. In: Balzert, H., Heyer, G., Lutze, R. (eds) Expertensysteme ’87 Konzepte und Werkzeuge. Vieweg+Teubner Verlag, Wiesbaden. https://doi.org/10.1007/978-3-322-94662-1_15
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DOI: https://doi.org/10.1007/978-3-322-94662-1_15
Publisher Name: Vieweg+Teubner Verlag, Wiesbaden
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