AI agents consist of sensors (for perception), actuators (for actions), a reasoning engine (AI model), and a knowledge base. They also use algorithms like deep learning, decision trees, and reinforcement learning to make intelligent decisions.
An AI agent is a system that can perceive its environment and take actions to achieve specific goals. Here are the key components of an AI agent:
Perception – The AI agent collects data from its environment using sensors, cameras, or APIs.
Knowledge Base – It stores information and rules to make decisions.
Reasoning & Decision Making – The agent analyzes data, applies logic, and makes decisions.
Learning Ability – AI agents improve over time by learning from past experiences.
Action Mechanism – After decision-making, the agent performs actions using actuators or software commands.
User Interaction – Many AI agents interact with users through voice, text, or visual interfaces.
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