EXPERT: A System for Developing Consultation Models
Abstract
EXPERT Is a system for designing and building models for consultation. An EXPERT model consists of hypotheses (which can be structured Into causal and taxonomic networks); findings or observations; and decision rules for logically relating these components. A relatively simple language for describing models is employed. Logical and probabilistic rules are restricted to particular types which implicitly order the tasks performed by the control strategies: classification, question selection, and explanation. Explicit representations of decision rules are emphasized, as opposed to suboptimal scoring functions. This results in more easily predictable and correctable performance for a model. The system is currently being used to develop consultation models in domains such as rheumatology, ophthalmology, and endocrinology.
Cite
Text
Weiss and Kulikowski. "EXPERT: A System for Developing Consultation Models." International Joint Conference on Artificial Intelligence, 1979.Markdown
[Weiss and Kulikowski. "EXPERT: A System for Developing Consultation Models." International Joint Conference on Artificial Intelligence, 1979.](https://mlanthology.org/ijcai/1979/weiss1979ijcai-expert/)BibTeX
@inproceedings{weiss1979ijcai-expert,
title = {{EXPERT: A System for Developing Consultation Models}},
author = {Weiss, Sholom M. and Kulikowski, Casimir A.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1979},
pages = {942-947},
url = {https://mlanthology.org/ijcai/1979/weiss1979ijcai-expert/}
}