What are the 5 types of AI agents?

There are five types of AI agents according to their capabilities and decision-making procedures. Simple Reflex Agents respond according to the immediate percept following simple "if-then" rules with no memory. Model-based reflex Agents are more sophisticated, as they have an internal state that they use to remember previous occurrences to make more effective decisions. Goal-Based Agents are programmed to meet certain goals and make decisions based on the degree to which their actions advance them toward their goals. Utility-Based Agents push this one step further by judging actions on the basis of how well they maximize satisfaction or utility, rather than simply achieving a goal. Lastly, Learning Agents keep getting better and better over time by learning through experience, evolving to handle new situations, and improving their actions. These kinds of agents are the foundation of most AI systems in use today, ranging from chatbots and self-driving cars to recommendation systems.