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Cooperating diagnostic expert systems to solve complex diagnosis tasks

  • Computer Perception / Neural Nets
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KI-97: Advances in Artificial Intelligence (KI 1997)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1303))

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Abstract

Expert systems are already successfully in use for some time. In spite of steadily improved knowledge acquisition techniques and strong problem solving algorithms, very large knowledge bases cannot be managed and maintained reasonably. This article describes the problems and advantages of building expert systems as a consilium of independent agents. The aspects of human teamwork are discussed and an approach is presented to implement it in the diagnostic expert system shell kit D3 with emphasis on distributed knowledge acquisition, competence and problem solving as well as data transfer between agents.

The work reported is partially supported by the BMBF (German Ministry of Education, Science, Research and Technology) under grant number 01 HP 844/0.

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Authors and Affiliations

  1. Department of AI and Applied Computer Science, Würzburg University, Würzburg, Germany

    Stefan K. Bamberger

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  1. Stefan K. Bamberger
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Gerhard Brewka Christopher Habel Bernhard Nebel

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© 1997 Springer-Verlag Berlin Heidelberg

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Bamberger, S.K. (1997). Cooperating diagnostic expert systems to solve complex diagnosis tasks. In: Brewka, G., Habel, C., Nebel, B. (eds) KI-97: Advances in Artificial Intelligence. KI 1997. Lecture Notes in Computer Science, vol 1303. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3540634932_26

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  • DOI: https://doi.org/10.1007/3540634932_26

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63493-5

  • Online ISBN: 978-3-540-69582-0

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