游戏、时间和概率:系统设计与分析的模型和算法Games, Time, and Probabilities: Models and Algorithms for System Design and Analysis |
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课程网址: | http://videolectures.net/kolokviji_henzinger_models/ |
主讲教师: | Henzinger Thomas A |
开课单位: | 洛桑联邦理工学院 |
开课时间: | 2011-04-16 |
课程语种: | 英语 |
中文简介: | 数字技术,从医用植入物到线控系统,越来越多地应用于安全关键领域。这就要求系统设计和验证方法能够处理系统复杂性的三个主要来源:并发性、实时性和不确定性。我们提倡一个两步的过程:正式建模,然后是算法分析(或者,";模型构建,然后是";模型检查)。我们将并发系统的组件建模为具有时间目标(如系统安全)的多玩家游戏中的潜在合作者或对手。硬件和软件的实时方面由混合动力系统建模,混合动力系统将离散状态转换和连续状态演化结合起来。环境中的不确定性自然地被随机行为所模拟。因此,我们得到了系统基本状态转移图模型的三个正交扩展——博弈图、定时图和马尔可夫决策过程——及其所有组合。 |
课程简介: | Digital technology, from medical implants to drive-by-wire systems, is increasingly deployed in safety-critical situations. This calls for systematic design and verification methodologies that can cope with three major sources of system complexity: concurrency, real time, and uncertainty. We advocate a two-step process: formal modeling followed by algorithmic analysis (or, "model building" followed by "model checking"). We model the components of a concurrent system as potential collaborators or adversaries in a multi-player game with temporal objectives, such as system safety. The real-time aspects of hardware and software are modeled by hybrid dynamical systems that combine both discrete state transitions and continuous state evolutions. Uncertainty in the environment is naturally modeled by stochastic behavior. As a result, we obtain three orthogonal extensions of basic state-transition graph models of systems --game graphs, timed graphs, and Markov decision processes-- and all combinations thereof. |
关 键 词: | 数字技术; 正式建模; 算法分析; 混合动力系统 |
课程来源: | 视频讲座网 |
最后编审: | 2019-12-24:lxf |
阅读次数: | 81 |