图 书 馆
动态系统的定性分析、建模与仿真Qualitative analysis, modelling and simulation of dynamic systems |
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| 课程网址: | http://videolectures.net/computationaltopology2013_bratko_systems... |
| 主讲教师: | Ivan Bratko |
| 开课单位: | 卢布尔雅那大学 |
| 开课时间: | 2013-11-04 |
| 课程语种: | 英语 |
| 中文简介: |  通常，对动态系统进行建模和定量分析（例如，使用微分方程式进行分析），并通过数字方式进行系统仿真。与此相反，定性推理和建模是人工智能的一个领域，其中定性进行建模，推理和模拟而没有数字。在这种方法中，汽车的速度可以是“高”或“低”等，并且可以增加或减少。在本讲座中，将介绍一种基于定性微分方程的定性建模和仿真方法。将显示如何从观察到的系统定量行为中自动学习系统的定性模型。该技术将通过在机器人学习中的应用以及在重建操作员控制起重机技术方面的应用来说明。 |
| 课程简介: | Typically, dynamic systems are modelled and analysed quantitatively, for example with differential equations, and system simulation is carried out numerically. In contrast to this, qualitative reasoning and modelling is an area of Artificial Intelligence where modelling, reasoning and simulation are done qualitatively, without numbers. In such an approach, the velocity of a car may be “high”, or “low”, etc., and it may be increasing or decreasing. In this lecture, an approach to qualitative modelling and simulation based on qualitative differential equations will be introduced. It will be shown how a qualitative model of a systems can be automatically learned from observed quantitative behaviours of the system. The techniques will be illustrated by applications to robot learning, and to reconstructing human operator’s skill of controlling a crane. |
| 关 键 词: | 定量分析; 动态系统 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2020-10-21：zyk |
| 最后编审: | 2020-10-21：zyk |
| 阅读次数: | 29 |