Zusammenfassung
Eine empirische Untersuchung zum Problem der Kompatibilität menschlicher Inferenz bei Ungewißheit mit modellgegebener Inferenz nach verschiedenen Ungewißheitsmodellen wird dargestellt. Inkompatibilitäten können einerseits auf kognitive “biases”, andererseits auf kontingente und folglich modifizierbare Modellannahmen zurückgehen. Implikationen für den Einsatz in Expertensystemen werden angesprochen.
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© 1989 Springer-Verlag Berlin Heidelberg
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Spies, M. (1989). Inferenzen bei Ungewißheit in Expertensystemen. In: Metzing, D. (eds) GWAI-89 13th German Workshop on Artificial Intelligence. Informatik-Fachberichte, vol 216. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-75100-4_48
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DOI: https://doi.org/10.1007/978-3-642-75100-4_48
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