Using Incomplete Quantitative Knowledge in Qualitative Reasoning
Abstract
Incomplete knowledge of the structure of mechanisms is an important fact of life in reasoning, commonsense or expert, about the physical world. Qualitative simulation captures an important kind of incomplete, ordinal, knowledge, and predicts the set of qualitatively possible behaviors of a mechanism, given a qualitative description of its structure and initial state. However, one frequently has quantitative knowledge as well as qualitative, though seldom enough to specify a numerical simulation.
Cite
Text
Kuipers and Berleant. "Using Incomplete Quantitative Knowledge in Qualitative Reasoning." AAAI Conference on Artificial Intelligence, 1988.Markdown
[Kuipers and Berleant. "Using Incomplete Quantitative Knowledge in Qualitative Reasoning." AAAI Conference on Artificial Intelligence, 1988.](https://mlanthology.org/aaai/1988/kuipers1988aaai-using/)BibTeX
@inproceedings{kuipers1988aaai-using,
title = {{Using Incomplete Quantitative Knowledge in Qualitative Reasoning}},
author = {Kuipers, Benjamin and Berleant, Daniel},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1988},
pages = {324-329},
url = {https://mlanthology.org/aaai/1988/kuipers1988aaai-using/}
}