Proceedings

Uncertainty Management in a Distributed Knowledge Based System

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Proceedings of the Ninth International Joint Conference on Artificial Intelligence. Expert Systems. Pages 318-319.

Abstract

In many situations, a knowl e dge source may not give definite hypothesis; it can only express its belief and disbelief in multiple hypotheses . We present a scheme of uncertainty management in such a system . Disbelief is given a con si d era ble importance in our approach. Various experts influence one another and show co-operative behavior by mutually changing their confidence factor values . The final decision about the feasibility of a certain hypothesis is based on the mean value and the consistency of the confidence factor values of the experts.

Naseem A. Khan, and Ramesh C. Jain. 1985. Uncertainty Management in a Distributed Knowledge Based System. In Proceedings of the Ninth International Joint Conference on Artificial Intelligence, IJCAI-85. IJCAI, 318–319. https://ijcai.org/proceedings/1985/60
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