adaptation algorithms

Adaptation algorithms are methods used by systems, like software or devices, to automatically improve their performance over time based on new data or changing conditions. They analyze input and outcomes, then adjust their settings or behavior to become more accurate or efficient. For example, a temperature control system might learn your preferred comfort level and adjust itself accordingly. These algorithms enable systems to evolve and personalize responses, ensuring better results without needing manual reprogramming. Essentially, they provide a way for technologies to "learn" and adapt intelligently to ongoing situations.