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Knowledge & Reasoning

Representing knowledge explicitly and reasoning over it — the symbolic tradition and its fusion with learning.

Knowledge & Reasoning is one of the core areas in the AI University map of AI. Explore the diagram, then dive into each topic — every subtopic grows into its own deep-dive over time.

flowchart TB
  KG[(Knowledge Graph)] --> SYM[Symbolic reasoning]
  NEU[Neural models] --> NS{{Neuro-symbolic}}
  SYM --> NS

Key topics

  • Knowledge graphs & ontologies

    Structured representations of entities and their relationships (like this very map).

  • Symbolic AI & logic

    Rules, logic programming, and search — reasoning you can inspect and verify.

  • Expert systems

    Encoding human expertise as rules; a foundational, still-useful approach.

  • Automated planning

    Finding action sequences that reach a goal state.

  • Neuro-symbolic AI

    Combining neural learning with symbolic reasoning for reliability and interpretability.

Foundations of AI · AI Agents & Autonomy · AI Safety, Alignment & Ethics

Learn this properly

Want hands-on training in knowledge & reasoning? Explore AI University courses and AI School camps for kids.