论文标题
扩展MAPE-K支持人机组合
Extending MAPE-K to support Human-Machine Teaming
论文作者
论文摘要
MAPE-K反馈循环已成为自动驾驶，机器人技术和网络物理系统等领域中自适应和自主系统的主要参考模型。同时，人类机器团队（HMT）范式旨在促进人类和自动驾驶机器之间的伙伴关系。它远远超出了人类和人类在循环系统中期望的协作程度，并强调了人类与机器之间的互动，伙伴关系和团队合作。但是，尽管MAPE-K可以完全自主行为，但它并未明确地解决HMT预期的人与机器之间的相互作用。在本文中，我们介绍了MAPE-K-HMT框架，该框架可以增强传统的Mape-K环路，并支持HMT。我们确定了关键的人机组合因素，并描述了MAPE-K循环各个阶段所需的基础设施，以有效地支持HMT。这包括在监视，分析，计划和执行阶段进行动态构建和填充的运行时模型，以支持人机合作伙伴关系。我们使用自主多UAV紧急响应系统的示例来说明MAPE-K-HMT，并介绍将HMT集成到MAPE-K中的指南。
The MAPE-K feedback loop has been established as the primary reference model for self-adaptive and autonomous systems in domains such as autonomous driving, robotics, and Cyber-Physical Systems. At the same time, the Human Machine Teaming (HMT) paradigm is designed to promote partnerships between humans and autonomous machines. It goes far beyond the degree of collaboration expected in human-on-the-loop and human-in-the-loop systems and emphasizes interactions, partnership, and teamwork between humans and machines. However, while MAPE-K enables fully autonomous behavior, it does not explicitly address the interactions between humans and machines as intended by HMT. In this paper, we present the MAPE-K-HMT framework which augments the traditional MAPE-K loop with support for HMT. We identify critical human-machine teaming factors and describe the infrastructure needed across the various phases of the MAPE-K loop in order to effectively support HMT. This includes runtime models that are constructed and populated dynamically across monitoring, analysis, planning, and execution phases to support human-machine partnerships. We illustrate MAPE-K-HMT using examples from an autonomous multi-UAV emergency response system, and present guidelines for integrating HMT into MAPE-K.
