Self Adaptive System

Self-adaptive systems are designed to autonomously adjust their behavior in response to changing environments and unexpected events, aiming to maintain performance and achieve goals. Current research emphasizes improving the interpretability and adaptability of these systems, often leveraging machine learning techniques like deep learning and reinforcement learning, along with novel architectures such as multi-agent systems and ensemble models. This field is crucial for developing robust and resilient systems across diverse applications, from cloud computing and robotics to smart manufacturing and autonomous vehicles, addressing challenges in areas like safety, security, and performance optimization.