Device Representation and Reasoning with Affective Relations
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence. Qualitative Reasoning and Diagnosis. Pages 1814-1819.
Abstract
Device representation and reasoning with affective relations occupies a middle ground between classical model-based diagnosis and heuristic expert systems. A device is modeled by specifying a set of diagnostically motivated affective relations among its components. Reasoning is then performed by a set of inference rules that reason with the model to propagate symptoms through the components. Representation and reasoning with affective relations extends several benefits of classical model-based diagnosis- the model as a unifying framework for knowledge, methodical coverage of the domain , and diagnostic reasoning based on equipment design and causality-to a class of problems where classical model-based diagnosis cannot be applied because the required models cannot be reasonably obtained or represented . Our work evolved from our redesign of a heuristic expert system for monitoring long-distance telephone switching systems, and is applicable to highly complex self-checking systems.
@inproceedings{ijcai1995p233,
title = {Device Representation and Reasoning with Affective Relations},
author = {Crawford, James M. and Dvorak, Daniel and Litman, Diane J. and Mishra, Anil and Patel-Schneider, Peter F.},
booktitle = {Proceedings of the Fourteenth International Joint Conference on
Artificial Intelligence, {IJCAI-95}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Chris S. Mellish},
pages = {1814--1819},
year = {1995},
note = {Qualitative Reasoning and Diagnosis},
url = {https://ijcai.org/proceedings/1995/233},
}
TY - CPAPER TI - Device Representation and Reasoning with Affective Relations AU - Crawford, James M. AU - Dvorak, Daniel AU - Litman, Diane J. AU - Mishra, Anil AU - Patel-Schneider, Peter F. T2 - Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95 PB - International Joint Conferences on Artificial Intelligence PY - 1995 SP - 1814 EP - 1819 UR - https://ijcai.org/proceedings/1995/233 ER -Copied
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