Beginner · Fundamentals

Intelligent Agents

Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.

TL;DR. Autonomous entities that perceive their environment and take actions to maximize their chances of achieving their goals.

Technical Definition

Autonomous entities that perceive their environment and take actions to maximize their chances of achieving their goals.

How it works

Intelligent agents are a foundational concept in AI, providing a framework for designing systems that can act rationally in complex environments. They can be software programs (e.g., in virtual worlds) or physical robots. Their design involves defining their perception capabilities, action repertoire, and decision-making logic.

Related Concepts

• Reinforcement Learning — A paradigm where an agent learns to make decisions by receiving rewards or penalties from its environment through trial and error.
• Multi-Agent Systems (MAS) — Systems composed of multiple interacting intelligent agents that cooperate or compete to achieve individual or collective goals.