Adaptive Architecture

Adaptive architecture focuses on designing systems that dynamically adjust their structure or behavior in response to changing needs or environments. Current research emphasizes developing algorithms and models, such as partial models in reinforcement learning and adaptive neural networks, to enable this dynamic adaptation across diverse applications. These advancements are significant for improving efficiency and robustness in areas ranging from cybersecurity and robotics to resource-constrained IoT systems and optimizing building design for occupant well-being. The ultimate goal is to create more resilient, efficient, and user-centric systems across various domains.