Pang Wei, Coghill George M
Computational Intelligence Group, College of Computer Science and Technology, Jilin University, Changchun, P.R. China ; Department of Computing Science, School of Natural & Computing Sciences, University of Aberdeen, Aberdeen, UK.
Knowl Eng Rev. 2010 Mar;25(1):69-107. doi: 10.1017/S0269888909990348.
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.
在过去二十年中,定性推理(QR)已成为人工智能中的一个重要领域。作为QR的一个分支,定性微分方程(QDE)模型学习(QML)也受到了越来越多的关注;人们已经提出了许多系统来解决该领域的各种重大问题。QML已被应用于广泛的领域,包括物理学、生物学和医学。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综述的范围,然后回顾该范围内所有值得注意的QML系统。还简要介绍了QML在几个应用领域中的应用。最后,从不同角度探讨了QML的未来发展方向。