AI Agent

An AI agent is an autonomous software system that independently completes tasks without constant human direction. Think of a digital assistant that does not merely wait for commands, but recognizes on its own what needs to be done, develops plans, and carries them out. The perception-action loop is constitutive: an agent perceives its environment through sensors, makes decisions based on its goals, and acts on the environment via actuators or tools (perceive-decide-act). The key difference from conventional software: an agent pursues overarching goals and adapts its behavior to changing circumstances. The standard taxonomy distinguishes various levels — from simple reflex agents and model-based agents with no learning capability whatsoever, all the way to learning agents that improve from experience. Learning is therefore an optional characteristic, not a mandatory one. In doing so, an agent uses various AI techniques — from machine learning and natural language processing to computer vision. Modern AI agents are often based on large language models and can work through complex task chains, from scheduling to data analysis. They act proactively, not merely reactively.