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Knowledge Representation

Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.

TL;DR. How facts and relationships are encoded so a system can reason over them.

Technical Definition

How facts and relationships are encoded so a system can reason over them.

How it works

Spans symbolic forms (logic, frames, ontologies), graphs (knowledge graphs, RDF), embeddings (vectors, hyperbolic spaces), and hybrid neuro-symbolic approaches. The choice of representation shapes what reasoning is easy, hard, or impossible.

Related Concepts

  • Reasoning — An AI system's ability to draw logical, multi-step conclusions from given information.
  • Semantic Understanding — Grasping the meaning of language, not just its surface form.
  • Ontology — A formal specification of the concepts, properties, and relationships in a domain.