Stories Ai companion

Knowledge Representation

How does knowledge work?

Knowledge Representation

 


  • Neural Networks as a way to represent knowledge
  • Semantic Networks - KRS
  • Knowledge Acquisition
  • Continuous learning
  • Problem of adding and extending knowledge
  • Self-reference
  • Fast pathways
  • Realtime Learning / augmenting / rewiring pathways
  • Human senses vs. thought vs. memory
  • Synthesizing
  • Outputs: physical, verbal, thoughts, etc.

Doug Lenat and CYC (history) – Google and Meta and Apple building personal knowledge-bases.