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A Class of Isomorphic Transformations for Integrating EMYCIN-Style and PROSPECTOR-Style Systems into a Rule-Based Multi-Agent System

  • Xudong Luo
  • Chengqi Zhang
  • Ho-fung Leung
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1733)

Abstract

The motivation for investigating the transformation between the EMYCIN model and the PROSPECTOR model lies in a realistic con- sideration. 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 there are reasonable transformations of uncertainties between the EMYCIN model and the PROSPECTOR model, we can use the Internet to couple them together so that the integrated systems are able to exchange and share helpful information with each other, thereby improving their performance through cooperation. In this paper, we discovered a class of exactly isomorphic transformations between uncertain reasoning models used by EMYCIN and PROSPECTOR. More interestingly, among the class of isomorphic transformation functions, different ones can handle different degrees to which domain experts are optimistic or pessimistic if they perform such a transformation task.

Keywords

Multi-agent uncertainty distributed expert system algebra 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Xudong Luo
    • 1
  • Chengqi Zhang
    • 2
  • Ho-fung Leung
    • 1
  1. 1.Department of Computer Science and EngineeringThe Chinese University of Hong Kong ShatinNTP.R. China
  2. 2.School of Computing and MathematicsDeakin University GeelongAustralia

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