دانلود کتاب برنامه‌نویسی عامل‌های هوش مصنوعی در پایتون، یک راهنمای عملی (Programming AI Agents)

An AI agent is a computational system capable of perceiving its environment through sensors, reasoning about its observations, and acting upon the environment to achieve specific goals. These systems operate autonomously, adapting to changes in their environment and learning from interactions to improve over time. AI agents form the backbone of many modern technologies, including recommendation systems, virtual assistants, self-driving cars, and game bots. The defining features of an AI agent include: 1. Autonomy: The ability to operate without direct human intervention. 2. Reactivity: The capacity to respond to changes in the environment. 3. Proactivity: The ability to take initiative to achieve goals. 4. Adaptability: Learning from past experiences to improve future performance.
Key Components of AI Agents: 1. Sensors and Actuators: Sensors allow agents to perceive their environment, while actuators enable them to take actions. For example, a robot uses cameras as sensors and motors as actuators. 2. Knowledge Base: This stores information about the environment and the agent’s experiences, enabling reasoning and decisionmaking. 3. Inference Engine: Facilitates reasoning by drawing conclusions from the knowledge base. 4. Goal and Reward System: Drives the agent’s actions, defining what it aims to achieve or maximize.