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.