Using Incomplete Quantitative Knowledge in Qualitative Reasoning (1988)
| Venue: | In Proc. of the Sixth National Conference on Artificial Intelligence |
| Citations: | 69 - 16 self |
BibTeX
@INPROCEEDINGS{Kuipers88usingincomplete,
author = {Benjamin Kuipers and Daniel Berleant},
title = {Using Incomplete Quantitative Knowledge in Qualitative Reasoning},
booktitle = {In Proc. of the Sixth National Conference on Artificial Intelligence},
year = {1988},
pages = {324--329}
}
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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.
Citations
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| 5 | Measurement Interpretation in Qualitative Process Theory - Forbus - 1983 |
| 5 | Coordinating the Use of Qualitative and Quantitative Knowledge in Declarative Device Modeling. Knowledge Systems Lab - Karp, Friedland - 1987 |
| 1 | Decision Analysis: Introduciory Lectures on Choices under Uncertainty - Ratfla - 1970 |
| 1 | Representation Method for Dynamic Causal Knowledge using SemiQuantitative Simulation - Widman |
