Types of AI Agents

AI agents are categorized based on how they *perceive*, *think*, and *act*. Here are the main types:

1️⃣ *Simple Reflex Agent*  

– *Works on condition-action rules*  

– Example: A vacuum cleaner that turns when it hits a wall  

– Reacts only to the current situation, no memory

2️⃣ *Model-Based Reflex Agent*  

– *Has internal memory (a model) of the world*  

– Can handle partial information  

– Example: A thermostat that remembers past temperature trends

3️⃣ *Goal-Based Agent*  

– *Acts to achieve a specific goal*  

– Makes decisions based on how far it is from the goal  

– Example: A chess bot aiming to win the game

4️⃣ *Utility-Based Agent*  

– *Tries to maximize “happiness” or performance*  

– Chooses the most beneficial action from multiple good ones  

– Example: Self-driving car choosing safest and fastest route

5️⃣ *Learning Agent*  

– *Learns and improves over time*  

– Has four parts: learning element, critic, performance element, and problem generator  

– Example: AI that improves its answers after feedback

🧠 *Which type is ChatGPT?*  

Mostly a *learning agent*, trained on large data and improves through fine-tuning.