Cyber-Physical System (CPS) represents systems that join both hardware and
software components to perform real-time services. Maintaining the system's
reliability is critical to the continuous delivery of these services. However,
the CPS running environment is full of uncertainties and can easily lead to
performance degradation. As a result, the need for a recovery technique is
highly needed to achieve resilience in the system, with keeping in mind that
this technique should be as green as possible. This early doctorate proposal,
suggests a game theory solution to achieve resilience and green in CPS. Game
theory has been known for its fast performance in decision-making, helping the
system to choose what maximizes its payoffs. The proposed game model is
described over a real-life collaborative artificial intelligence system (CAIS),
that involves robots with humans to achieve a common goal. It shows how the
expected results of the system will achieve the resilience of CAIS with
minimized CO2 footprint.

提出一种基于博弈论的解决方案，通过在协作人工智能系统中使用机器人与人类来实现系统的可恢复性，并以最小化 CO2 足迹的方式发挥协作人工智能系统预期结果的作用。