Recognition-Based Diagnostic Reasoning
Abstract
Expertise in fault diagnosis often depends on recognizing particular patterns in observed data corresponding to situations that have previously been 6een and correctly interpreted This approach can result in significant efficiencies by avoiding a costly and detailed analysis based on the causal relationships between faults and observable data Recognition-based reasoning requires highly focused search strategies in order to extract relevant information from a knowledge base that contains a large number of prototypes for various possible faults This paper describes a model of recognition-based reasoning and describes an implementation of the model. designed to solve diagnostic problems in pediatric cardiology The model first
Cite
Text
Thompson et al. "Recognition-Based Diagnostic Reasoning." International Joint Conference on Artificial Intelligence, 1983.Markdown
[Thompson et al. "Recognition-Based Diagnostic Reasoning." International Joint Conference on Artificial Intelligence, 1983.](https://mlanthology.org/ijcai/1983/thompson1983ijcai-recognition/)BibTeX
@inproceedings{thompson1983ijcai-recognition,
title = {{Recognition-Based Diagnostic Reasoning}},
author = {Thompson, William B. and Johnson, Paul E. and Moen, James B.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1983},
pages = {236-238},
url = {https://mlanthology.org/ijcai/1983/thompson1983ijcai-recognition/}
}