Combining Qualitative and Quantitative Knowledge to Generate Models of Physical Systems
Proceedings of the Twelfth International Joint Conference on Artificial Intelligence. Qualitative Reasoning. Pages 1158-1162.
Abstract
All major approaches to Qualitative Reasoning rely on the existence of a model of the physical system. However, the task of finding a model is usually far from trivial. Within the area of electrical engineering, model building methods have been developed to automatically deduce models from measurements . In this paper we explicitly show how to incorporate qualitative knowledge in order to apply these methods to situations where they do not behave satisfactorily. A program has been developed and applied to a non-trivial example. The qualitative input, in terms of an incomplete bond graph, and the resulting output can be used to form a more complete bond graph. This more informative model is suitable for further reasoning.
@inproceedings{ijcai1991p170,
title = {Combining Qualitative and Quantitative Knowledge to Generate Models of Physical Systems},
author = {Söderman, Ulf and Strömberg, Jan-Erik},
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 = {1158--1162},
year = {1991},
month = {8},
note = {Qualitative Reasoning},
url = {https://ijcai.org/proceedings/1991/170},
}
TY - CPAPER TI - Combining Qualitative and Quantitative Knowledge to Generate Models of Physical Systems AU - Söderman, Ulf AU - Strömberg, Jan-Erik T2 - Proceedings of the Twelfth International Joint Conference on Artificial Intelligence, IJCAI-91 PB - International Joint Conferences on Artificial Intelligence PY - 1991 SP - 1158 EP - 1162 UR - https://ijcai.org/proceedings/1991/170 ER -Copied
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