Diagnosing Temporal Misbehavior
Proceedings of the Twelfth International Joint Conference on Artificial Intelligence. Qualitative Reasoning. Pages 1116-1121.
Abstract
One of the main goals of model-based diagnosis is the detection and localization of failures that are very difficult to diagnose even for human experts. Especially transient failures require a sophisticated problem-solving strategy and often overcharge an experienced human diagnostician. Unfortunately, such transient failures occur in many applications and cause unacceptable misbehavior. Therefore, dealing with failures which have a temporal aspect is a challenging task for model-based diagnosis. However, current research on model-based diagnosis treats assumptions about the component behavior as static and therefore fails to reason about time-varying failures. In this paper we present a new approach to model-based diagnosis which enables us to deal with its temporal aspects.
@inproceedings{ijcai1991p164,
title = {Diagnosing Temporal Misbehavior},
author = {Friedrich, Gerhard and Lackinger, Franz},
booktitle = {Proceedings of the Twelfth International Joint Conference on
Artificial Intelligence, {IJCAI-91}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {John Mylopoulos and Ray Reiter},
pages = {1116--1121},
year = {1991},
month = {8},
note = {Qualitative Reasoning},
url = {https://ijcai.org/proceedings/1991/164},
}
TY - CPAPER TI - Diagnosing Temporal Misbehavior AU - Friedrich, Gerhard AU - Lackinger, Franz T2 - Proceedings of the Twelfth International Joint Conference on Artificial Intelligence, IJCAI-91 PB - International Joint Conferences on Artificial Intelligence PY - 1991 SP - 1116 EP - 1121 UR - https://ijcai.org/proceedings/1991/164 ER -Copied
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