How Intelligent Agents Work — From Perception to Decision and Action

Short summary

Intelligent agents are systems that perceive their environment, decide on actions, and execute them in continuous loops—a pattern appearing across robotics, games, recommendations, and language models. Reactive agents respond directly; intelligent agents use internal reasoning and state for better decisions. Understanding AI through the agent lens rather than isolated models helps architects build more effective decision-making systems.

• •Agents (perceive-decide-act loops) are the fundamental pattern across all AI domains
• •Intelligent agents maintain internal state and reasoning; reactive agents only respond to input
• •Agent-based thinking beats model-only thinking for system architecture and design

Generated with AI, which can make mistakes.