Isomorphic transformations of uncertainties for incorporating EMYCIN-style and PROSPECTOR-style systems into a distributed expert system
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In the past, expert systems exploited mainly the EMYCIN model and the PROSPECTOR model to deal with uncertainties. In other words, a lot of stand-alone expert systems which use these two models are available. If we can use the Internet to couple them together, their performance will be improved through cooperation. This is because the problem-solving ability of expert systems is greatly improved by the way of cooperation among different expert systems in a distributed expert system. Cooperation between different expert systems with these two heterogeneous uncertain reasoning models is essentially based on the transformations of uncertainties of propositions between these two models. In this paper, we discovered the exactly isomorphic transformations uncertainties between uncertain reasoning models, as used by EMYCIN and PROSPECTOR.
Keywordsalgebraic structure cooperation distributed expert systems isomorphic transformation uncertain reasoning group
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- McDermott J. Making expert systems explicit. InProceedings of the IFIP-86. North Holland Publishing Company, Amsterdam, Dublin, 1986, pp.539–544.Google Scholar
- Melle W Van. A domain-independent system that aids in constructing knowledge-based consultation programs.Ph.D. Dissertation, Report STAN-CS-80-820, Computer Science Department, Stanford University, 1980.Google Scholar
- Duda R O, Hart P E, Nilsson N J, Reboh R, Slocum J, Sutherland G. Development of a computer-based consultant for mineral exploration.SRI Report, Stanford Research Institute, Menlo Park, CA, October 1977.Google Scholar
- Zhang Minjie. Synthesis of solutions in distributed expert systems.Ph.D thesis, the University of New England, Australia, 1995.Google Scholar
- Zhang C, Orlowska M. On algebraic structures of inexact reasoning models., InAdvances in Information Systems Research, Lasker G Eet al. (eds.), 1991, pp.58–77.Google Scholar
- Hájek P. Combining functions for certainty degrees in consulting systems. InInt. J. Man-Machines Studies, 1985, 22:59–76.Google Scholar
- Marcus M. Introduction to modern algebra. Marcel Dekker, Inc. 1978.Google Scholar
- Zhang C. HECODES: a framework for heterogeneous cooperative distributed expert, systems. InPh.D. thesis, University of Queensland, 1990.Google Scholar