Integrating Multiple Knowledge Representations and Learning Capabilities in an Expert System: The ADVISE System
Proceedings of the Eighth International Joint Conference on Artificial Intelligence. Expert Systems. Pages 256-257.
Abstract
The ADVISE system is an integrated set of tools for the development of and experimentation with expert systems in various specific application domains. It functions as a multi-purpose inference system that employs three knowledge representations : a rule-base, a conceptual network and a relational data base. In addition, it includes learning capabilities by incorporating the inductive learning program s GEM (for learning from examples) and CLUSTER (for constructing cl assifications). Three expert syste ms ha ve bee n developed using ADVISE: PLANT/ds (venion 2)--for diagnosing soybean di seases, PLANT fed--for predicting cutworm damage to corn, and BABY--a cons ultant for the neo-natal intensive care unit.
@inproceedings{ijcai1983p63,
title = {Integrating Multiple Knowledge Representations and Learning Capabilities in an Expert System: The ADVISE System},
author = {Michalski, Ryszard S. and Baskin, Arthur B.},
booktitle = {Proceedings of the Eighth International Joint Conference on
Artificial Intelligence, {IJCAI-83}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Alan Bundy},
pages = {256--257},
year = {1983},
note = {Expert Systems},
url = {https://ijcai.org/proceedings/1983/63},
}
TY - CPAPER TI - Integrating Multiple Knowledge Representations and Learning Capabilities in an Expert System: The ADVISE System AU - Michalski, Ryszard S. AU - Baskin, Arthur B. T2 - Proceedings of the Eighth International Joint Conference on Artificial Intelligence, IJCAI-83 PB - International Joint Conferences on Artificial Intelligence PY - 1983 SP - 256 EP - 257 UR - https://ijcai.org/proceedings/1983/63 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: