AI — Agents
What is an Agent?
An entity that perceives its environment and takes actions.
Agent Types
| Type | Description |
|---|---|
| Simple Reflex | Condition-action rules |
| Model-Based | Maintains internal state |
| Goal-Based | Has goals to achieve |
| Utility-Based | Maximizes utility |
| Learning | Improves over time |
Agent Architecture
Environment → Percepts → Agent → Actions → Environment
Simple Agent
class SimpleAgent:
def __init__(self):
self.rules = {}
def perceive(self, environment):
return environment.get_state()
def act(self, percept):
if percept in self.rules:
return self.rules[percept]
return "do_nothing"
Mini Practice
- Understand agent concepts
- Learn agent types
- Create simple agent
- Explore agent architectures
Up Next
Continue with Automation — AI automation.
Related Topics
Frequently Asked Questions about Agents
What is Agents in AI?
Agents is a fundamental concept in AI. This lesson explains it step by step with clear examples, making it easy for beginners to understand.
How do I learn Agents?
Start by reading the explanation above, then try the code examples. Practice by modifying the examples and experimenting with different values. Hands-on practice is the best way to learn Agents.
Why is Agents important in AI?
Agents is essential for AI development. Understanding this concept will help you write better code and solve real-world problems more effectively.