Self Adaptation

Self-adaptation in artificial intelligence focuses on creating systems that can autonomously adjust their behavior in response to changing environments or objectives. Current research emphasizes developing efficient algorithms and models, such as those based on reinforcement learning, evolutionary algorithms, and large language models, to enable this dynamic adaptation. These advancements are improving the robustness and efficiency of various applications, including robotics, portfolio management, and machine learning model optimization, by allowing systems to learn and adapt more effectively in complex and unpredictable situations. The ultimate goal is to create more resilient and adaptable intelligent systems capable of handling unforeseen challenges.