ML Anthology

The Blind Leading the Blind: Mutual Refinement of Approximate Theories

Smadar Kedar, John L. Bresina, C. Lisa Dent
ICML 1991 pp. 308-312
doi:10.1016/B978-1-55860-200-7.50064-7 /icml/1991/kedar1991icml-blind/

Abstract

We describe mutual theory refinement, a method for refining world models in a reactive system. The method detects failures, explains their causes, and repairs the approximate models which caused the failures. Our approach focuses on using one approximate model to refine another.

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Cite

Text

Kedar et al. "The Blind Leading the Blind: Mutual Refinement of Approximate Theories." International Conference on Machine Learning, 1991. doi:10.1016/B978-1-55860-200-7.50064-7

Markdown

[Kedar et al. "The Blind Leading the Blind: Mutual Refinement of Approximate Theories." International Conference on Machine Learning, 1991.](https://mlanthology.org/icml/1991/kedar1991icml-blind/) doi:10.1016/B978-1-55860-200-7.50064-7

BibTeX

@inproceedings{kedar1991icml-blind,
  title     = {{The Blind Leading the Blind: Mutual Refinement of Approximate Theories}},
  author    = {Kedar, Smadar and Bresina, John L. and Dent, C. Lisa},
  booktitle = {International Conference on Machine Learning},
  year      = {1991},
  pages     = {308-312},
  doi       = {10.1016/B978-1-55860-200-7.50064-7},
  url       = {https://mlanthology.org/icml/1991/kedar1991icml-blind/}
}