Adaptive systems are dynamic entities that can adjust their behavior based on changes in their environment. These systems learn from experience and can modify their responses to improve performance or achieve specific goals. Examples include biological organisms, artificial intelligence, and ecosystems, which all demonstrate the ability to adapt to new conditions. In technology, adaptive systems are often used in machine learning and control systems. They analyze data and feedback to optimize processes, making them more efficient over time. This adaptability is crucial in various fields, including robotics, finance, and healthcare, where conditions can change rapidly and unpredictably.