ARBY: Diagnosis with Shallow Causal Models
Abstract
Arby is a software system or higher order language for writing expert systems to do diagnosis in electronic systems. As such, it is similar to EMYCIN (Van Melle 1982) in application, but quite different in design. It is rule-based to an extent, but the rules are written in predicate calculus. It resembles Caduceus (Pople 1977) in its mechanisms for refining and combining hypotheses.
Cite
Text
McDermott and Brooks. "ARBY: Diagnosis with Shallow Causal Models." AAAI Conference on Artificial Intelligence, 1982.Markdown
[McDermott and Brooks. "ARBY: Diagnosis with Shallow Causal Models." AAAI Conference on Artificial Intelligence, 1982.](https://mlanthology.org/aaai/1982/mcdermott1982aaai-arby/)BibTeX
@inproceedings{mcdermott1982aaai-arby,
title = {{ARBY: Diagnosis with Shallow Causal Models}},
author = {McDermott, Drew V. and Brooks, Ruven E.},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1982},
pages = {370-372},
url = {https://mlanthology.org/aaai/1982/mcdermott1982aaai-arby/}
}