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Wissensrepräsentation und Problemlösungsverfahren in Expertensystemen

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Künstliche Intelligenz in der Finanzberatung

Zusammenfassung

Expertensysteme beschäftigen sich mit der Anwendung von Wissensrepräsentationstechniken zur Lösung konkreter Probleme aus der Praxis. In erster Näherung eignen sich Expertensysteme für alle eng begrenzten Problembereiche, für die klare Algorithmen fehlen, die aber von Experten routinemäßig gelöst werden können. Zu ihrer Entwicklung muß die Schlußfolgerungsfahigkeit und das Fachwissen der Experten im Computer rekonstruiert werden. Dazu hat sich die klare Trennung zwischen Problemlösungsmethode und Wissen als vorteilhaft herausgestellt und ist daher für Expertensysteme charakteristisch (s. Abb. 1).

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Authors
  1. Frank Puppe
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Editors and Affiliations

  1. Institut für Wirtschaftsinformatik, Westfälischen Wilhelms-Universität Münster, Deutschland

    Stefan Kirn (Akademischer Rat) (Akademischer Rat)

  2. Universität Bielefeld, Deutschland

    Christof Weinhardt (lehrt Betriebswirtschaftslehre) (lehrt Betriebswirtschaftslehre)

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© 1994 Betriebswirtschaftlicher Verlag Dr. Th. Gabler GmbH, Wiesbaden

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Puppe, F. (1994). Wissensrepräsentation und Problemlösungsverfahren in Expertensystemen. In: Kirn, S., Weinhardt, C. (eds) Künstliche Intelligenz in der Finanzberatung. Gabler Verlag. https://doi.org/10.1007/978-3-322-85838-2_5

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  • DOI: https://doi.org/10.1007/978-3-322-85838-2_5

  • Publisher Name: Gabler Verlag

  • Print ISBN: 978-3-409-13773-7

  • Online ISBN: 978-3-322-85838-2

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