Control and Integration of Diverse Knowledge in a Diagnostic Expert System
Proceedings of the Ninth International Joint Conference on Artificial Intelligence. Expert Systems. Pages 426-430.
Abstract
Though current expert system technology has become a major success, existing expert systems often fall short of human expertise in many ways. One important area is in the use of more basic, deep knowledge as an enhancement to the shallow, surface knowledge commonly employed. The Integrated Diagnostic Model attempts to exploit the use of both types of knowledge by fitting the appropriate knowledge representation and utilization techniques to each. The result is two separate and independent expert systems which are then integrated and controlled by a higher-level module called the executor.
@inproceedings{ijcai1985p83,
title = {Control and Integration of Diverse Knowledge in a Diagnostic Expert System},
author = {Fink, Pamela K.},
booktitle = {Proceedings of the Ninth International Joint Conference on
Artificial Intelligence, {IJCAI-85}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Aravind Joshi},
pages = {426--430},
year = {1985},
note = {Expert Systems},
url = {https://ijcai.org/proceedings/1985/83},
}
TY - CPAPER TI - Control and Integration of Diverse Knowledge in a Diagnostic Expert System AU - Fink, Pamela K. T2 - Proceedings of the Ninth International Joint Conference on Artificial Intelligence, IJCAI-85 PB - International Joint Conferences on Artificial Intelligence PY - 1985 SP - 426 EP - 430 UR - https://ijcai.org/proceedings/1985/83 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
