THOUGHT: An Integrated Learning System for Acquiring Knowledge Structure
Abstract
Considering that knowledge has three levels: object-level knowledge, meta-level knowledge, and structure-level knowledge, we describe an integrated learning system THOUGHT to acquire the third level knowledge. Through analyzing the performance results on current knowledge bases, THOUGHT gradually constructs a new kind of knowledge structure: solution-oriented structure, which is designed to overcome some crucial shortcomings such as irreparable failure existing in some current expert systems.
Cite
Text
Mao. "THOUGHT: An Integrated Learning System for Acquiring Knowledge Structure." International Conference on Machine Learning, 1992. doi:10.1016/B978-1-55860-247-2.50043-7Markdown
[Mao. "THOUGHT: An Integrated Learning System for Acquiring Knowledge Structure." International Conference on Machine Learning, 1992.](https://mlanthology.org/icml/1992/mao1992icml-thought/) doi:10.1016/B978-1-55860-247-2.50043-7BibTeX
@inproceedings{mao1992icml-thought,
title = {{THOUGHT: An Integrated Learning System for Acquiring Knowledge Structure}},
author = {Mao, Chengjiang},
booktitle = {International Conference on Machine Learning},
year = {1992},
pages = {300-309},
doi = {10.1016/B978-1-55860-247-2.50043-7},
url = {https://mlanthology.org/icml/1992/mao1992icml-thought/}
}