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/B978-1-55860-200-7.50079-9

Markdown

[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/B978-1-55860-200-7.50079-9

BibTeX

@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/}
}