How AI Understands and Stores Knowledge

Reasoning is the core of intelligent behavior. In AI, reasoning allows For any intelligent system to work effectively, it must represent knowledge in a structured form that computers can understand.
Knowledge representation involves transforming real-world information into data structures such as semantic networks, frames, logic-based statements, and ontologies.
This process allows AI to connect concepts, reason about relationships, and infer new knowledge.

For example, when an AI assistant recognizes that “a bird can fly” and “a sparrow is a bird,” it can infer that “a sparrow can fly.”
Such relationships help systems achieve human-like understanding and enable applications like automated reasoning, language translation, and context-aware recommendations.