Channeling knowledge: Expert Systems as communications media [Book Review]

AI and Society 2 (3):197-208 (1988)
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Abstract

Expert Systems (ES) are as yet imperfectly defined. Their two consistently cited characteristics are domain knowledge and expert-level performance. We propose that current structural definitions are inadequate and suggest a view of ES as communication channels. We proceed to explore the factors influencing applicability of ES technology to an enterprise and the impacts that could be expected. A consequence of this view is the idea of incremental information loss on the path from the expert to the ES user. Strategies for minimizing this loss derive naturally from our perspective and are evident in successful ES

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Citations of this work

On two AI traditions.Satinder P. Gill - 1988 - AI and Society 2 (4):321-340.
Reflections on participatory design.Karamjit S. Gill - 1989 - AI and Society 3 (4):297-314.
Evaluating expert system prototypes.Pål Sørgaard - 1991 - AI and Society 5 (1):3-17.

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References found in this work

Knowledge and the Flow of Information.Fred I. Dretske - 1981 - Revue Philosophique de la France Et de l'Etranger 175 (1):69-70.
A Mathematical Theory of Communication.Claude Elwood Shannon - 1948 - Bell System Technical Journal 27 (April 1924):379–423.

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