A Comparison of Uncertainty Calculi in an Expert System for Information Retrieval
Proceedings of the Eighth International Joint Conference on Artificial Intelligence. Expert Systems. Pages 194-196.
Abstract
This paper describes the first stages of an experimental investigation into the effects of using various calculi to propagate uncertainty in an interactive expert system for information retrieval. We interpret uncertainty values as partial truths rather than probabilities, and draw upon the mathematics of multi-valued logic in developing our analysis. We conclude that specification of an uncertainty calculus is a subtle problem that interacts in several ways with the scheme used to represent the expert knowledge.
@inproceedings{ijcai1983p46,
title = {A Comparison of Uncertainty Calculi in an Expert System for Information Retrieval},
author = {Tong, Richard M. and Shapiro, Daniel G. and Dean, Jeffrey S. and McCune, Brian P.},
booktitle = {Proceedings of the Eighth International Joint Conference on
Artificial Intelligence, {IJCAI-83}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Alan Bundy},
pages = {194--196},
year = {1983},
note = {Expert Systems},
url = {https://ijcai.org/proceedings/1983/46},
}
TY - CPAPER TI - A Comparison of Uncertainty Calculi in an Expert System for Information Retrieval AU - Tong, Richard M. AU - Shapiro, Daniel G. AU - Dean, Jeffrey S. AU - McCune, Brian P. T2 - Proceedings of the Eighth International Joint Conference on Artificial Intelligence, IJCAI-83 PB - International Joint Conferences on Artificial Intelligence PY - 1983 SP - 194 EP - 196 UR - https://ijcai.org/proceedings/1983/46 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: