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Over the last two decades, qualitative reasoning (QR) has become an important domain in Artificial Intelligence. QDE (Qualitative Differential Equation) model learning (QML), as a branch of QR, has also received an increasing amount of attention; many systems have been proposed to solve various significant problems in this field. QML has been applied to a wide range of fields, including physics, biology and medical science. In this paper, we first identify the scope of this review by distinguishing QML from other QML systems, and then review all the noteworthy QML systems within this scope. The applications of QML in several application domains are also introduced briefly. Finally, the future directions of QML are explored from different perspectives.
The Knowledge engineering review. 2010 Mar;25(1):69-107. doi: 10.1017/S0269888909990348 Q42.82024
Learning Qualitative Differential Equation models: a survey of algorithms and applications
定性微分方程模型的学习：算法与应用综述 翻译改进
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DOI: 10.1017/S0269888909990348 PMID: 23704803
摘要 Ai翻译
Keywords：algorithm; application
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