Learning Qualitative Models of Dynamic Systems
Abstract
A technique is described for learning qualitative models of dynamic systems. The QSIM formalism is used as a representation for learned qualitative models. The problem of learning QSIM-type models is formulated in logic, and the GOLEM learning program is used for induction. An experiment in learning a qualitative model of the connected containers system, also called U-tube, is described in detail.
Cite
Text
Bratko et al. "Learning Qualitative Models of Dynamic Systems." International Conference on Machine Learning, 1991. doi:10.1016/B978-1-55860-200-7.50079-9Markdown
[Bratko et al. "Learning Qualitative Models of Dynamic Systems." International Conference on Machine Learning, 1991.](https://mlanthology.org/icml/1991/bratko1991icml-learning/) doi:10.1016/B978-1-55860-200-7.50079-9BibTeX
@inproceedings{bratko1991icml-learning,
title = {{Learning Qualitative Models of Dynamic Systems}},
author = {Bratko, Ivan and Muggleton, Stephen H. and Varsek, Alen},
booktitle = {International Conference on Machine Learning},
year = {1991},
pages = {385-388},
doi = {10.1016/B978-1-55860-200-7.50079-9},
url = {https://mlanthology.org/icml/1991/bratko1991icml-learning/}
}