Embodied self-aware computing systems are embedded in a physical environment with a rich set of sensors and actuators to interact both with their environment and with their own embodiment. Through this interaction, they learn about their situation, their own state, and their performance. Although they are application specific like traditional embedded systems (ESs), they are significantly more flexible, robust, and autonomous; they can adapt to a wide range of environmental variation and can cope with deterioration and shortcomings of their own performance. As such, embodied self-aware computing systems are an evolution of traditional embedded and cyber–physical systems into the direction of more autonomy, robustness, and flexibility. When traditional ESs operate in a changing world by demanding unchanging and fully characterized computing resources, embodied self-aware computing systems adapt to a changing world and changing computing resources. This article surveys the methods and methodologies used for embodied self-aware computing systems structured along with the faculties of: 1) sensory observation and abstraction; 2) self-aware assessment; and 3) hierarchical goals and control. The discussion is exemplified by application cases in the areas of systems-on-chip, control systems, health monitoring, and condition monitoring in industrial production systems.

中文翻译：

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具身自我意识计算系统

具身自我意识计算系统嵌入物理环境中，具有丰富的传感器和执行器集，可与环境和自身的具身交互。通过这种互动，他们了解自己的处境、自己的状态和表现。尽管它们像传统的嵌入式系统 (ES) 一样是特定于应用程序的，但它们更加灵活、强大和自主；它们能够适应广泛的环境变化，能够应对自身性能的恶化和缺陷。因此，具身自我意识计算系统是传统嵌入式和网络物理系统向更具自主性、鲁棒性和灵活性的方向演进。当传统 ES 在不断变化的世界中运行，需要不变的和完全特征化的计算资源时，体现自我意识的计算系统会适应不断变化的世界和不断变化的计算资源。本文调查了用于具身自我意识计算系统的方法和方法论，这些系统与以下功能一起构建：1）感官观察和抽象；2）自我意识评估；3) 分层目标和控制。讨论以片上系统、控制系统、健康监测和工业生产系统中的状态监测领域的应用案例为例。本文调查了用于具身自我意识计算系统的方法和方法论，这些系统与以下功能一起构建：1）感官观察和抽象；2）自我意识评估；3) 分层目标和控制。讨论以片上系统、控制系统、健康监测和工业生产系统中的状态监测领域的应用案例为例。本文调查了用于具身自我意识计算系统的方法和方法论，这些系统与以下功能一起构建：1）感官观察和抽象；2）自我意识评估；3) 分层目标和控制。讨论以片上系统、控制系统、健康监测和工业生产系统中的状态监测领域的应用案例为例。