This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
A Method for Putting Strategic Common Sense into Expert Systems
June 1993 (vol. 5 no. 3)
pp. 369-385

Strategic common sense is defined as the heuristic considerations human experts often apply to decide which choice is the most opportune to make from a set of possible alternatives. A method for acquiring modeling, and representing human strategic common sense in diagnostic expert systems is presented. The preference parameter and preference criterion tools, which are used to define a basic level of strategic knowledge, are reviewed. Strategic common sense and its representation using general rules and metarules modeling are discussed. An interview with a physician who provided a medical case and the related solutions is summarized. It is shown that the solutions given by the physician match the conclusions obtained by applying the strategic common sense rules to the medical example.

[1] B. Buchanan and E. Shortliffe,Rule-Based Expert Systems: The MYCYN Experiment of the Stanford Heuristic Programming Project. Reading, MA: Addison Wesley, 1984.
[2] P. R. Cohen, M. Greenberg, and J. De Lisio, "MU: A development environment for prospective reasoning systems," inProc. AAAI, Seattle, WA, 1987.
[3] R. Davis, "Applications of meta-level knowledge to the construction, maintenance, and use of large knowledge bases." Doctoral dissertation, Stanford Univ., Comput. Sci. Dep., Stanford, CA, 1976.
[4] R. Davis, "Metarules: Reasoning about Control,"Artificial Intell., no. 15, pp. 179-222, 1980.
[5] T. R. Gruber, "Acquiring strategic knowledge from experts,"Int. Man-Machine Studies, vol. 29, pp. 579-597, 1988.
[6] T.R. Gruber, "Automated Knowledge Acquisition for Strategic Knowledge,"Machine Learning, Vol. 4, No. 3/4, 1989, pp. 293-336.
[7] T. Gruber and P. R. Cohen, "Design for acquisition: Principles of knowledge system design to facilitate knowledge acquisition,"Int. J. Man-Machine Studies, vol. 26, pp. 143-159, 1987.
[8] G. Kahn, A. Kepner, and J. Pepper, "TEST: A model-driven application shell," inProc. AAAI, Seattle, Washington, 1987.
[9] S. Mussi, G. Gini, R. Morpurgo, and P. Sassaroli, "An integrated tool for diagnosis," inProc. Congress AI*IA-89, Trento, Italy, Nov. 1989.
[10] S. Mussi and R. Morpurgo, "Acquiring and representing strategic knowledge in the diagnosis domain,"Expert Syst.: The Int. J. Knowledge Eng., vol. 7, no. 3, Aug. 1990.
[11] E. H. Shortliffe,Computer Based Medical Consultation: MYCIN. New York: American Elsevier, 1976.
[12] P. Torasso and L. Console,Diagnostic Problem Solving. London: North Oxford Academic, 1989.

Index Terms:
knowledge acquisition; strategic common sense; expert systems; heuristic considerations; diagnostic expert systems; preference parameter; preference criterion tools; strategic knowledge; metarules modeling; medical case; diagnostic expert systems; knowledge acquisition; medical expert systems
Citation:
S. Mussi, "A Method for Putting Strategic Common Sense into Expert Systems," IEEE Transactions on Knowledge and Data Engineering, vol. 5, no. 3, pp. 369-385, June 1993, doi:10.1109/69.224191
Usage of this product signifies your acceptance of the Terms of Use.