Adaptive Mechanism

Adaptive mechanisms, encompassing the ability of systems to adjust to changing environments, are a central focus in diverse scientific fields. Current research emphasizes the development and application of algorithms like reinforcement learning and Markov decision processes to design adaptive systems, particularly in areas such as multi-agent interactions, resource allocation, and online processing. These advancements are improving efficiency and robustness in applications ranging from robotic locomotion and communication networks to online advertising and federated learning, highlighting the broad significance of adaptive strategies across scientific disciplines and technological domains. The interplay between plasticity and evolvability in response to environmental variability is also a key area of investigation.