A Comparison of Uncertainty Calculi in an Expert System for Information Retrieval
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.
Cite
Text
Tong et al. "A Comparison of Uncertainty Calculi in an Expert System for Information Retrieval." International Joint Conference on Artificial Intelligence, 1983.Markdown
[Tong et al. "A Comparison of Uncertainty Calculi in an Expert System for Information Retrieval." International Joint Conference on Artificial Intelligence, 1983.](https://mlanthology.org/ijcai/1983/tong1983ijcai-comparison/)BibTeX
@inproceedings{tong1983ijcai-comparison,
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 = {International Joint Conference on Artificial Intelligence},
year = {1983},
pages = {194-197},
url = {https://mlanthology.org/ijcai/1983/tong1983ijcai-comparison/}
}