adaptive systems
Adaptive systems are systems that can change and evolve in response to their environment. They learn from experiences and adjust their behavior to improve performance or survive. Examples include natural ecosystems, where species adapt to changing conditions, and technological systems, like machine learning algorithms that improve over time by analyzing data. These systems often exhibit complex interactions among their components, leading to unpredictable outcomes, but their adaptability is key to their resilience and efficiency in a dynamic world.
Additional Insights
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Adaptive systems are structures or processes that can change and evolve in response to their environment. They learn from experiences and adjust their behavior to better fit new challenges or conditions. Common examples include ecosystems, economies, and even human societies. By continuously interacting with their surroundings, these systems improve over time, becoming more resilient and efficient. In essence, adaptive systems thrive on feedback, allowing them to navigate complexity and uncertainty in a dynamic world.