Abstract
This article describes the general principles of qualitative reasoning, a special form of reasoning with deep knowledge. Three prevailing approaches to qualitative reasoning are integrated into one generic framework with which it is possible to describe qualitative deep knowledge and the reasoning process that uses this knowledge to predict the behavior of physical systems. In addition, the process of modeling a real-world system into the qualitative vocabulary is analyzed, and two examples of techniques to automate this modeling activity are discussed.
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