Which example best illustrates the function of a learning agent?

The example of a recommendation system adjusting offerings based on user history effectively illustrates the function of a learning agent. Learning agents are characterized by their ability to improve their performance over time through experience. In this case, the recommendation system analyzes user behavior, preferences, and feedback, which allows it to learn from past interactions. This data-driven approach enables the system to refine its recommendations, becoming increasingly tailored to each user's individual tastes and preferences.

As users interact with the system, it gathers more data, which helps it identify trends and patterns, leading to more relevant suggestions. This dynamic adaptation exemplifies the core essence of a learning agent—its ability to learn from its environment and optimize its future actions based on previously acquired knowledge.