Integrating Multiple Knowledge Representations and Learning Capabilities in an Expert System: The ADVISE System
Abstract
The ADVISE system is an integrated set of tools for the development of and experimentation with expert sys- tems iu various specific application domains. It functions as a multi-purpose inference system that employs three knowledge representations: a rule-base, a conceptual work and a relational data base. In addition, it includes learning capabilities by incorporating the inductive learning programs GEM (for learning from examples) and CL U.ST ER (for constructing classifications). Three expert systems have been developed using VISE: PLANT/ds (ve.ion 2}--for diagnosing soybean diseases, PLANT/cd-for predicting cutworm damag to corn, and BABY--a consultant for the neo-natal intensive care unit.
Cite
Text
Michalski and Baskin. "Integrating Multiple Knowledge Representations and Learning Capabilities in an Expert System: The ADVISE System." International Joint Conference on Artificial Intelligence, 1983.Markdown
[Michalski and Baskin. "Integrating Multiple Knowledge Representations and Learning Capabilities in an Expert System: The ADVISE System." International Joint Conference on Artificial Intelligence, 1983.](https://mlanthology.org/ijcai/1983/michalski1983ijcai-integrating/)BibTeX
@inproceedings{michalski1983ijcai-integrating,
title = {{Integrating Multiple Knowledge Representations and Learning Capabilities in an Expert System: The ADVISE System}},
author = {Michalski, Ryszard S. and Baskin, Arthur B.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1983},
pages = {256-258},
url = {https://mlanthology.org/ijcai/1983/michalski1983ijcai-integrating/}
}