AI Agents Introduction.
1. What is an AI Agent?
An AI Agent is a system that can observe its environment, make decisions, and take actions to achieve a goal.
AI agents are used in robots, games, virtual assistants, and smart software.
2. Components of an AI Agent
- Environment: The world where the agent operates
- Sensors: Used to observe the environment
- Actuators: Used to perform actions
- Agent Program: The logic or rules that guide decisions
3. Agent–Environment Interaction
AI agents work in a cycle:
Sense → Think → Act
Example:
A vacuum-cleaning robot:
- Senses dirt on the floor
- Decides where to move
- Cleans the area
4. Types of AI Agents
| Type | Description |
|---|---|
| Simple Reflex Agent | Acts based only on current input |
| Model-Based Agent | Uses memory of past actions |
| Goal-Based Agent | Acts to achieve a specific goal |
| Utility-Based Agent | Chooses the best action based on usefulness |
| Learning Agent | Improves performance using experience |
5. Intelligent vs Non-Intelligent Agents
- Non-Intelligent Agent: Follows fixed rules only
- Intelligent Agent: Learns and adapts to situations
6. Real-Life Examples of AI Agents
- Chatbots and virtual assistants
- Game-playing AI
- Self-driving car systems
- Recommendation systems
7. Advantages of AI Agents
- Work automatically without constant human input
- Handle repetitive tasks efficiently
- Can learn from experience
8. Limitations of AI Agents
- Depend on data quality
- May make mistakes in new situations
- Require careful design