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These agents work towards specific objectives and plan their actions accordingly. They weigh different approaches to achieve desired outcomes effectively. A navigation app that determines the best route to a destination exemplifies a goal-based agent.
Utility-Based Agents
Designed to maximize specific utilities or values, utility-based agents engage in complex reasoning to judge various scenarios and select optimal options. Applications might include resource management systems and financial algorithms that evaluate risks and returns.
Learning Agents
These agents continuously improve by learning from experiences, employing feedback mechanisms to adapt their behavior over time. A customer service chatbot that refines its responses after each interaction is a prime example.