The architecture of an AI agent is fundamentally structured around its ability to perceive, process, and act within an environment. It typically includes sensors responsible for gathering information from its surroundings, forming a percept sequence. This raw input is then fed into the agent's internal agent program, which embodies the agent function – the core logic mapping perceptions to actions. Within this program lies a decision-making core, often utilizing a knowledge base for storing facts and rules, or a learning component to adapt and improve its performance over time. Finally, actuators allow the agent to execute its chosen actions, influencing the environment. This integrated design enables AI agents to pursue specific goals intelligently. More details: https://info-list.top