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.

中文翻译：

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学习定性微分方程模型：算法和应用的调查

在过去的二十年里，定性推理 (QR) 已成为人工智能的一个重要领域。QDE（定性微分方程）模型学习（QML）作为QR的一个分支，也受到越来越多的关注；已经提出了许多系统来解决该领域中的各种重大问题。QML 已应用于广泛的领域，包括物理学、生物学和医学科学。在本文中，我们首先通过将 QML 与其他 QML 系统区分开来确定本次审查的范围，然后审查该范围内所有值得注意的 QML 系统。还简要介绍了QML在几个应用领域的应用。最后，从不同的角度探讨了 QML 的未来方向。