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Combining Qualitative and Quantitative Knowledge to Generate Models of Physical Systems

机译:结合定性和定量知识来生成物理系统模型

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All major approaches to Qualitative Reasoning rely on the existence of a model of the physical system. However, the task of finding a model is usually far from trivial. Within the area of electrical engineering, model building methods have been developed to automatically deduce models from measurements. In this paper we explicitly show how to incorporate qualitative knowledge in order to apply these methods to situations where they do not behave satisfactorily. A program has been developed and applied to a non-trivial example. The qualitative input, in terms of an incomplete bond graph, and the resulting output can be used to form a more complete bond graph. This more informative model is suitable for further reasoning.
机译:定性推理的所有主要方法依赖于物理系统模型的存在。然而,找到模型的任务通常远非微不足道。在电气工程领域内,已经开发了模型构建方法来自动推断测量模型。在本文中,我们明确展示了如何纳入定性知识,以便将这些方法应用于他们不满意的情况。已经开发了一个程序并应用于非琐碎的例子。在不完整的键盘图方面,定性输入可以用于形成更完整的键盘图。这种更具信息丰富的模型适用于进一步推理。

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