Intelligent autonomous systems are part of a system of systems that interact with other agents to accomplish tasks in complex environments. However, intelligent autonomous systems integrated system of systems add additional layers of complexity based on their limited cognitive processes, specifically shared situation awareness that allows a team to respond to novel tasks. Intelligent autonomous systems' lack of shared situation awareness adversely influences team effectiveness in complex task environments, such as military command-and-control. A complementary approach of shared situation awareness, called situations theory, is beneficial for understanding the relationship between system of systems shared situation awareness and effectiveness. The current study elucidates a conceptual discussion on situations theory to investigate the development of an system of systems shared situational awareness when humans team with intelligent autonomous system agents. To ground the discussion, the reviewed studies expanded situations theory within the context of a system of systems that result in three major conjectures that can be beneficial to the design and development of future systems of systems.

翻译：智能自主系统是系统之系统的一部分，它们与其他智能体交互，以在复杂环境中完成任务。然而，集成了智能自主系统的系统之系统，因其有限的认知过程（特别是使团队能够响应新任务的共享态势感知）而增加了额外的复杂性。智能自主系统缺乏共享态势感知，这会对团队在复杂任务环境（如军事指挥控制）中的效能产生不利影响。一种称为情境理论的共享态势感知补充方法，有助于理解系统之系统的共享态势感知与其效能之间的关系。本研究对情境理论进行了概念性探讨，以探究当人类与智能自主系统智能体组队时，系统之系统共享态势感知的形成机制。为夯实这一讨论，综述研究在系统之系统背景下扩展了情境理论，最终形成了三个主要猜想，这些猜想对未来系统之系统的设计与开发具有指导意义。