Fueled by the progress of artificial intelligence, autonomous systems become more and more integral parts of many Internet-of-Things (IoT) and cyber–physical systems (CPSs) applications, such as automated driving, robotics, avionics, and industrial automation. Autonomous systems are self-governed and self-adaptive systems that are designed to operate in an open and evolving environment that has not been completely defined at design time. However, this does not come for free. The advance from established systems technology to autonomous systems is not an issue of developing and introducing new functions in existing design processes. We firmly believe, and will elaborate, that it will have a deep impact on engineering, on the way we design, verify, test, and operate systems. We must find ways to keep high engineering standards, such as dependability and controllability, when allowing the system to change its behavior in the field. In other words, the future of autonomous systems is not only an issue of systems intelligence, but depends on our capability to design them responsibly.

中文翻译：

---

客座编辑介绍：自治系统设计特刊


在人工智能进步的推动下，自主系统越来越成为许多物联网（IoT）和网络物理系统（CPS）应用不可或缺的一部分，例如自动驾驶、机器人、航空电子设备和工业自动化。自治系统是自我管理和自适应的系统，旨在在设计时尚未完全定义的开放且不断发展的环境中运行。然而，这并不是免费的。从现有系统技术到自主系统的进步并不是在现有设计过程中开发和引入新功能的问题。我们坚信，并将详细阐述，它将对工程、我们设计、验证、测试和操作系统的方式产生深远的影响。当允许系统改变其在现场的行为时，我们必须找到保持高工程标准的方法，例如可靠性和可控性。换句话说，自主系统的未来不仅是系统智能的问题，而且取决于我们负责任地设计它们的能力。