Artificial Intelligence Programming Practice Exam 2025 - Free AI Programming Practice Questions and Study Guide

An agent in the context of artificial intelligence is best defined as an entity that acts autonomously and pursues goals based on its perceptions of the environment. This definition encompasses the key aspects of agency in AI, including autonomy (the ability to operate without human control), and the capacity to take actions that are directed towards achieving specific goals.

The agent interprets information from its surroundings through sensors, processes that information using its internal models or algorithms, and then decides on actions via actuators. This interaction allows the agent to adapt its behavior based on the changing environment, which is an essential characteristic of intelligent systems.

The notion of pursuing goals based on perceptions highlights that effective agents are not just reactive but can also plan and make decisions that reflect an understanding of their context and objectives. This ability to learn from experiences and adapt to new information is what enables an intelligent agent to function effectively in uncertain and dynamic situations.

In contrast to the other definitions, the focus on autonomy and goal-oriented behavior in this definition captures the essence of what makes an entity an intelligent agent in AI.