Adaptive modeling is a research area that focuses on developing mathematical models and algorithms that can dynamically adjust and update their parameters in response to changes in the environment or input data. This allows the models to continuously improve their accuracy and performance over time, making them more adaptable to evolving conditions. Adaptive modeling is often used in fields such as machine learning, robotics, and optimization, where the ability to quickly adapt to new information or changing circumstances is essential for achieving optimal results.