Core Components of Agentic AI 🚀

Agentic AI systems consist of several core components:

• Perception Module: Uses sensors and data inputs to interpret the environment.
• Knowledge Base: Stores information, rules, and learned models.
• Decision-Making Engine: Applies algorithms (e.g., planning, reasoning) to select actions.
• Action Module: Executes chosen actions through actuators or software commands.
• Goal Management: Defines and prioritizes objectives, allowing the agent to adapt.

These components work synergistically to enable autonomous operation. For example, in a robotic agent, sensors provide environmental data, which the perception module interprets, feeding into decision-making that determines the next act, such as navigating around obstacles or manipulating objects.