Uncertainty Management in a Distributed Knowledge Based System
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.
@inproceedings{ijcai1985p60,
title = {Uncertainty Management in a Distributed Knowledge Based System},
author = {Khan, Naseem A. and Jain, Ramesh C.},
booktitle = {Proceedings of the Ninth International Joint Conference on
Artificial Intelligence, {IJCAI-85}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Aravind Joshi},
pages = {318--319},
year = {1985},
note = {Expert Systems},
url = {https://ijcai.org/proceedings/1985/60},
}
TY - CPAPER TI - Uncertainty Management in a Distributed Knowledge Based System AU - Khan, Naseem A. AU - Jain, Ramesh C. T2 - Proceedings of the Ninth International Joint Conference on Artificial Intelligence, IJCAI-85 PB - International Joint Conferences on Artificial Intelligence PY - 1985 SP - 318 EP - 319 UR - https://ijcai.org/proceedings/1985/60 ER -Copied
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