论文标题
一种可信赖的自主/认知系统的结构化方法
A Structured Approach to Trustworthy Autonomous/Cognitive Systems
论文作者
论文摘要
具有认知特征的自主系统正在进入市场。在复杂的环境中，他们承诺即使在与安全有关的环境中，也将实施复杂和目标的行为。这种行为基于一定程度的情境意识（感知）和先进的脱节（审议）。在许多情况下，这些系统是由人工智能（例如神经网络）驱动的。如此复杂的系统和使用AI技术的问题是，没有公认的方法来确保可信赖性。本文提出了一个框架，以填补这一空白。它提出了一种参考生命周期作为基于当前安全标准的结构化方法，并增强了以满足自动/COG-NIDIVE系统和可信度的要求。
Autonomous systems with cognitive features are on their way into the market. Within complex environments, they promise to implement complex and goal oriented behavior even in a safety related context. This behavior is based on a certain level of situational awareness (perception) and advanced de-cision making (deliberation). These systems in many cases are driven by artificial intelligence (e.g. neural networks). The problem with such complex systems and with using AI technology is that there is no generally accepted approach to ensure trustworthiness. This paper presents a framework to exactly fill this gap. It proposes a reference lifecycle as a structured approach that is based on current safety standards and enhanced to meet the requirements of autonomous/cog-nitive systems and trustworthiness.
