Design Rationale Capture as Knowledge Acquisition
Abstract
This paper introduces a panel to be held at the Knowledge Acquisition Track of the Machine Learning Workshop (ML91). This panel will focus on the problem of acquiring design rationale knowledge from humans for later reuse. The design of tools for design rationale capture reveals several fundamental issues for knowledge acquisition, such as the relationships among formality and expressiveness of representations, and kinds of automated support for elicitation and analysis of knowledge. This paper sets the background for discussion by identifying dimensions of a design space for design rationale tools, and then includes position statements from each panelist arguing for various positions in this space.
Cite
Text
Gruber et al. "Design Rationale Capture as Knowledge Acquisition." International Conference on Machine Learning, 1991. doi:10.1016/B978-1-55860-200-7.50006-4Markdown
[Gruber et al. "Design Rationale Capture as Knowledge Acquisition." International Conference on Machine Learning, 1991.](https://mlanthology.org/icml/1991/gruber1991icml-design/) doi:10.1016/B978-1-55860-200-7.50006-4BibTeX
@inproceedings{gruber1991icml-design,
title = {{Design Rationale Capture as Knowledge Acquisition}},
author = {Gruber, Thomas R. and Baudin, Catherine and Boose, John H. and Webber, Jay},
booktitle = {International Conference on Machine Learning},
year = {1991},
pages = {3-12},
doi = {10.1016/B978-1-55860-200-7.50006-4},
url = {https://mlanthology.org/icml/1991/gruber1991icml-design/}
}