Hierarchical Diagnosis Guided by Observations

Chittaro, Luca; Ranon, Roberto

Hierarchical Diagnosis Guided by Observations

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Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence. Pages 573-577.

Abstract

We propose a technique to improve the performance of hierarchical model-based diagnosis, based on structural abstraction. Given a hierarchical representation and the set of currently available observations, the technique is able to dynamically derive a tailored hierarchical representation to diagnose the current situation. We implement our strategy as an extension to the well-known Mozetic’s approach [Mozetic, 1992], and illustrate the obtained performance improvements. Our approach is more efficient than Mozetic’s one when, due to abstraction, fewer observations are available at the coarsest hierarchical levels.

Luca Chittaro, and Roberto Ranon. 2001. Hierarchical Diagnosis Guided by Observations. In Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, IJCAI-01. IJCAI, 573–577. https://ijcai.org/proceedings/2001/80

@inproceedings{ijcai2001p80,
  title     = {Hierarchical Diagnosis Guided by Observations},
  author    = {Chittaro, Luca and Ranon, Roberto},
  booktitle = {Proceedings of the Seventeenth International Joint Conference on
               Artificial Intelligence, {IJCAI-01}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  pages     = {573--577},
  year      = {2001},
  url       = {https://ijcai.org/proceedings/2001/80},
}

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TI  - Hierarchical Diagnosis Guided by Observations
AU  - Chittaro, Luca
AU  - Ranon, Roberto
T2  - Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, IJCAI-01
PB  - International Joint Conferences on Artificial Intelligence
PY  - 2001
SP  - 573
EP  - 577
UR  - https://ijcai.org/proceedings/2001/80
ER  -