AI is not just models. It is a system that perceives, decides, and acts. If you only think in terms of algorithms, you miss the bigger structure. The real question is: How does an AI system turn input into action? Core Idea An intelligent agent is the simplest way to understand AI as a system. It takes input from the environment. Processes that information. Then selects an action. That loop defines AI behavior. The Key Structure The basic agent loop looks like this: Environment → Perception → State → Decision → Action → Environment Or more compact: Agent = Perception + Decision + Action This is why the agent concept matters. It connects data, reasoning, and behavior into one structure. Implementation View At a high level, an agent behaves like this: observe environment update internal state evaluate possible actions choose the best action execute action repeat Enter fullscreen mode Exit fullscreen mode This loop appears everywhere. Game AI. Robotics. Autonomous systems. Recommendation systems.…