Agents in AI
What is an AI Agent?
An AI agent is anything that perceives its environment through sensors and acts upon it through actuators to achieve specific goals.
Types of Agents
| Agent Type | Description |
|---|---|
| Simple Reflex Agent | Acts only on the current percept, ignoring history |
| Model-Based Reflex Agent | Maintains an internal model of the world |
| Goal-Based Agent | Chooses actions based on achieving specific goals |
| Utility-Based Agent | Selects actions that maximize a utility (happiness) function |
| Learning Agent | Improves its performance over time through experience |
Agent Architecture
Agents follow a perceive-think-act cycle: they gather percepts from their environment, reason about the best action, and then act — continuously repeating this loop.
Multi-Agent Systems
Multiple agents can work together or compete, coordinating through communication protocols to solve problems more complex than any single agent could handle alone.
Key Takeaway: Mastering this topic is a key step toward becoming a well-rounded AI professional, capable of building real-world, intelligent systems.
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