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Transformation between the EMYCIN model and the Bayesian network

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Agents and Multi-Agent Systems Formalisms, Methodologies, and Applications (DAI 1997)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1441))

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Abstract

If different expert systems use different uncertain reasoning models in a distributed expert system, it is necessary to transform the uncertainty of a proposition from one model to another when they cooperate to solve problems. This paper looks at ways to transform uncertainties between the EMYCIN model and the Bayesian network. In the past, the uncertainty management scheme employed the most extensively in expert systems was the EMYCIN model. Now the scheme is turning towards the Bayesian network. If we can combine, by means of the Internet, pre-existing stand-alone expert systems that use these two models into a distributed expert system, the ability of these individual expert systems in their real applications will be greatly improved. The work described in this paper is an important step in this direction.

This research is supported by a large grant from the Australian Research Council (A49530850).

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Authors and Affiliations

  1. School of Mathematical and Computer Sciences, The University of New England, 2351, Armidale, NSW, Australia

    Chengqi Zhang & Xudong Luo

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  1. Chengqi Zhang
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  2. Xudong Luo
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Wayne Wobcke Maurice Pagnucco Chengqi Zhang

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© 1998 Springer-Verlag Berlin Heidelberg

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Zhang, C., Luo, X. (1998). Transformation between the EMYCIN model and the Bayesian network. In: Wobcke, W., Pagnucco, M., Zhang, C. (eds) Agents and Multi-Agent Systems Formalisms, Methodologies, and Applications. DAI 1997. Lecture Notes in Computer Science, vol 1441. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0055030

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  • DOI: https://doi.org/10.1007/BFb0055030

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64769-0

  • Online ISBN: 978-3-540-68722-1

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