Скачать или смотреть Types of Intelligent Agents in AI

In Artificial Intelligence, intelligent agents are systems that perceive their environment and take actions to achieve goals.
There are five main types:

🤖 Simple Reflex Agents – Act only on current perceptions using condition-action rules. Example: a thermostat.

🧠 Model-Based Reflex Agents – Keep track of the world using internal models. They can handle partially observable environments.

🎯 Goal-Based Agents – Choose actions to achieve specific goals, not just react.

💡 Utility-Based Agents – Go beyond goals by selecting the most useful or optimal action for maximum satisfaction.

🧬 Learning Agents – Continuously improve performance based on past experiences.

So, intelligent agents range from simple rule-followers to self-learning systems — just like how AI evolves from basic automation to true intelligence!