What are the five types of agents in AI?

AI agents are systems that perceive their environment and take actions to achieve goals. The five main types of AI agents include:

1. Simple Reflex Agents → Follow predefined rules and react to specific inputs (e.g., thermostats, automatic doors).

2. Model-Based Agents → Maintain an internal model of the world, allowing them to make better decisions.

3. Goal-Based Agents → Take actions to achieve predefined objectives, such as chess-playing AI.

4. Utility-Based Agents → Optimize decisions based on mathematical reward functions, like self-driving cars.

5. Learning Agents → Improve performance through experience and adaptation, such as AI assistants and chatbots.

Key Takeaways:

• Reflex agents react to specific inputs.

• Model-based agents use internal models for better decision-making.

• Goal-based and utility-based agents optimize outcomes.

• Learning agents continuously improve from experience.