ML Anthology

Generalized Physical Networks for Automated Model Building

Matthew Easley, Elizabeth Bradley
IJCAI 1999 pp. 1047-1053
doi:10.21236/ada454690 /ijcai/1999/easley1999ijcai-generalized/

Abstract

We present a new knowledge representation and reasoning framework for modeling nonlinear dynamical systems. The goals of this framework are to smoothly incorporate varying levels of domain knowledge and to tailor the reasoning methods -and hence the search space -accordingly. Our solution exploits generalized physical networks (GPN), a rneta-level representation of idealized two-terminal elements, together with a hierarchy of qualitative and quantitative analysis tools, to produce a dynamic modeling domain whose complexity naturally adapts to the amount of available information about the target system.

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Text

Easley and Bradley. "Generalized Physical Networks for Automated Model Building." International Joint Conference on Artificial Intelligence, 1999. doi:10.21236/ada454690

Markdown

[Easley and Bradley. "Generalized Physical Networks for Automated Model Building." International Joint Conference on Artificial Intelligence, 1999.](https://mlanthology.org/ijcai/1999/easley1999ijcai-generalized/) doi:10.21236/ada454690

BibTeX

@inproceedings{easley1999ijcai-generalized,
  title     = {{Generalized Physical Networks for Automated Model Building}},
  author    = {Easley, Matthew and Bradley, Elizabeth},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {1999},
  pages     = {1047-1053},
  doi       = {10.21236/ada454690},
  url       = {https://mlanthology.org/ijcai/1999/easley1999ijcai-generalized/}
}