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There's no theory better than that of a practical tool

Published online by Cambridge University Press:  07 July 2009

Mark A. Musen
Mark A. Musen
Affiliation:
Knowledge Systems Laboratory, Departments of Medicine and Computer Science, Stanford University, Stanford, CA 94305-5479, USA
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Extract

This special issue of The Knowledge Engineering Review includes three papers on the subject of automated knowledge-acquisition tools. Gaines and Shaw (1993) review knowledge acquisition tools based on personal-construct psychology; Birmingham and Klinker (1993) review tools based on predefined models of problem-solving methods; and Eriksson and Musen (1993) review metalevel tools that developers may use to build other knowledge acquisition tools. Although this trio of papers by no means summarizes all recent developments in computer-based assistance for knowledge engineering, these contributions provide examples of three important research frontiers that, in many ways, trace their origins to early expert systems research.

Type
Research Article
Information
The Knowledge Engineering Review , Volume 8 , Issue 1 , March 1993 , pp. 1 - 4
Copyright
Copyright © Cambridge University Press 1993

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References

Allemang, D and Rothenfluh, TE, 1992. “Acquiring knowledge of knowledge acquisition: A self-study of generic tasks” In: Wetter, T, Aithoff, K-D, Boose, J, Gaines, BR, Linster, M and Schmalhofer, F. (eds.), Current Developments in Knowledge Acquisition—EKAW '92. Springer-Verlag, pp 353–372.CrossRefGoogle Scholar
Birmingham, W and Klinker, G, 1993. “Knowledge-acquisition tools with explicit problem-solving models” Knowledge Engineering Review 8 pp 5–25.CrossRefGoogle Scholar
Boose, JH, 1985. “A knowledge acquisition program for expert systems based on personal construct psychology” International Journal of Man-Machine Studies 23 495–525.CrossRefGoogle Scholar
Boose, JH and Gaines, BR, 1988. Knowledge Acquisition Tools for Expert Systems, Academic Press.Google Scholar
Buchanan, BG and Shortliffe, EH (eds.), 1984. Rule-based Expert Systems: The MYCIN experiments of the Stanford Heuristic Programming Project, Addison-Wesley.Google Scholar
Buchanan, BG, Sutherland, G and Feigenbaum, EA, 1969. “Heuristic DENDRAL: A program for generating explanatory hypotheses in organic chemistry” In: Meltzer, B and Michie, D (eds.), Machine Intelligence vol 4, Edinburgh University Press, pp 209–254.Google Scholar
Clancey, WJ, 1989. “Viewing knowledge bases as qualitative models” IEEE Expert 4 9–23.CrossRefGoogle Scholar
Clancey, WJ, 1991. “Why today's computers don't learn the way people do”. In: Flach, PA and Meersman, RA (eds.), Future Directions in Artificial Inelligence, North Holland, pp 53–62.Google Scholar
Davis, R, 1976. Applications of meta level knowledge to the construction, maintenance, and use of large knowledge bases. PhD dissertation, Department of Computer Science, Stanford University, California, Report STAN-CS-76-564.Google Scholar
Eriksson, H and Musen, MA, 1993. “Conceptual models for automatic generation of knowledge-acquisition tools” Knowledge Engineering Review 8 pp 27–47.CrossRefGoogle Scholar
Gaines, BR and Shaw, MLG, 1993. “Knowledge acquisition tools based on personal construct psychology” Knowledge Engineering Review 8 pp 49–85.CrossRefGoogle Scholar
Kelly, G, 1955. The Psychology of Personal Constructs, Norton.Google Scholar
McClelland, JL, Rurnelhart, DE and the PDP Research Group (eds.), 1986. Parallel Distributed Processing: Explorations in the microstructure of cognition, MIT Press.Google Scholar
McDermott, J, 1988. “Preliminary steps toward a taxonomy of problem-solving methods” In: Marcus, S (ed.), Automating Knowledge Acquisition for Expert Systems, Kluwer, pp 225–256.CrossRefGoogle Scholar
Motta, E, Rajan, T and Eisenstadt, M, 1990. “Knowledge acquisition as a process of model refinement” Knowledge Acquisition 2 21–49.CrossRefGoogle Scholar
Musen, MA, 1989a. Automated Generation of Model-based Knowledge Acquisition Tools, Pitman.Google Scholar
Musen, MA, 1989b. “Conceptual models of interactive knowledge-acquisition tools” Knowledge Acquisition 1 73–88.CrossRefGoogle Scholar
Musen, MA, 1993. “An overview of knowledge acquisition” In: David, J-M, Krivine, J-P and Simmons, R (eds.), Second Generation Expert Systems, Springer-Verlag.Google Scholar
Neale, IM, 1988. “First generation expert systems: A review of knowledge acquisition methodologies” Knowledge Engineering Review 3 105–145.CrossRefGoogle Scholar
Newell, A and Simon, H, 1972. Human Problem Solving, Prentice-Hall.Google Scholar
Wielinga, B, Schreiber, AT and Breuker, J, 1992. “KADS: A modeling approach to knowledge engineering” Knowledge Acquisition 4 5–53.CrossRefGoogle Scholar