Explanation-Based Learning: An Alternative View
Abstract
In the last issue of this journal Mitchell, Keller, and Kedar-Cabelli presented a unifying framework for the explanation-based approach to machine learning. While it works well for a number of systems, the framework does not adequately capture certain aspects of the systems under development by the explanation-based learning group at Illinois. The primary inadequacies arise in the treatment of concept operationality, organization of knowledge into schemata, and learning from observation. This paper outlines six specific problems with the previously proposed framework and presents an alternative generalization method to perform explanation-based learning of new concepts.
Cite
Text
DeJong and Mooney. "Explanation-Based Learning: An Alternative View." Machine Learning, 1986. doi:10.1023/A:1022898111663Markdown
[DeJong and Mooney. "Explanation-Based Learning: An Alternative View." Machine Learning, 1986.](https://mlanthology.org/mlj/1986/dejong1986mlj-explanationbased/) doi:10.1023/A:1022898111663BibTeX
@article{dejong1986mlj-explanationbased,
title = {{Explanation-Based Learning: An Alternative View}},
author = {DeJong, Gerald and Mooney, Raymond J.},
journal = {Machine Learning},
year = {1986},
pages = {145-176},
doi = {10.1023/A:1022898111663},
volume = {1},
url = {https://mlanthology.org/mlj/1986/dejong1986mlj-explanationbased/}
}