Types of Intelligent Agents

There are several categories of AI agents, each with different levels of intelligence and autonomy:

1. Simple Reflex Agents – act only on the current situation (if-condition rules).
2. Model-Based Reflex Agents – use internal models to track environmental changes.
3. Goal-Based Agents – make decisions to achieve specific goals.
4. Utility-Based Agents – aim to maximize satisfaction or performance.
5. Learning Agents – continuously improve by learning from experience.

For example, a thermostat is a simple reflex agent, while a self-driving car is a learning agent that improves over time.
These categories represent the evolution of intelligence in AI systems.