## Definition of AI Agents AI agents, also known as intelligent autonomous systems, are computer programs capable of making decisions and acting autonomously to achieve specific goals. These agents use Artificial Intelligence (AI) algorithms to analyze their environment, make informed decisions, and interact with their environment in a relevant manner. ## Origin and Context The concept of AI agents has its roots in the 1980s, when AI researchers began exploring the possibilities of creating systems capable of reasoning and acting autonomously. Over the years, advancements in Machine Learning, robotics, and cognitive science have enabled the development of increasingly sophisticated systems. Today, AI agents are used in a wide range of applications, from virtual assistants to autonomous vehicles. ## Functioning The functioning of AI agents is based on several key technical principles. First, these agents use Machine Learning algorithms to analyze environmental data and learn from patterns. Then, they use this knowledge to make informed decisions and act accordingly. This approach can be compared to a home thermostat system: the thermostat (the AI agent) analyzes the ambient temperature (the data), adjusts the heat or cold (makes decisions) to maintain a comfortable temperature (achieve a goal). ## Concrete Examples AI agents are already present in our daily lives. For example, virtual assistants such as **ChatGPT** and **Claude** use AI agents to understand user requests and generate relevant responses. In the mobility sector, **autonomous vehicles** like those developed by **Waymo** or **Tesla** use AI agents to navigate streets and make real-time decisions. Additionally, **recommendation systems** used by streaming platforms like **Netflix** or **Amazon Prime** employ AI agents to suggest content based on user preferences. ## Importance for Understanding AI Today Understanding AI agents is crucial for grasping the current evolution of Artificial Intelligence. These intelligent autonomous systems are at the forefront of innovation in many fields, from healthcare to finance, and manufacturing. The ability of AI agents to learn, reason, and act autonomously makes them essential for solving complex problems that require high flexibility and rapid adaptation. Moreover, understanding how these systems work helps to better comprehend the ethical and social implications of using AI in our society. ## Related Terms to Know - **Machine Learning**: a branch of AI that enables systems to learn from data without being explicitly programmed. - **Artificial Intelligence (AI)**: a field of computer science that aims to create machines capable of simulating human intelligence. - **Multi-Agent Systems**: systems composed of multiple AI agents that interact with each other to achieve common goals. - **Autonomous Robotics**: a field that combines robotics and AI to create robots capable of functioning autonomously in different environments. - **AI Ethics**: the study of the ethical implications of designing, developing, and using AI systems, including AI agents.