AI Agents

AI Agents is like a helper that can see what’s happening and decide what to do and then take action. It observes then decides and acts accordingly.

How does it work?

1. Observe

   The agent gets the information, for example a chatbot receives users text as input

2. Processing

   The agent takes the input and then decides what action it should take. It can be done by predefined rules or machine learning models

3. Action

   The agent then carries out the chosen action. In the context of chatbot it responds with the answer.

4. Feedback

   Agents can also learn from experience like they check if their action work well and adjusts to improve the performance

Types

1. Simple Reflex Agents → only respond to current inputs.

   • Example: A thermostat.

2. Model-Based Agents → keep track of the environment’s state.

   • Example: A robot remembering where obstacles are.

3. Goal-Based Agents → plan steps to achieve goals.

   • Example: GPS navigation finding the shortest path.

4. Utility-Based Agents → choose actions that give the “best outcome.”

   • Example: Self-driving car balancing speed and safety.

5. Learning Agents → improve with time and experience.

   • Example: ChatGPT learning from user feedback.