Machine Learning Street Talk (MLST) cover image

Dr. Thomas Parr - Active Inference Book

Machine Learning Street Talk (MLST)

INSIGHT

The World as Its Own Best Model

  • Active inference integrates model-building with the idea that the world itself is its own best representation.
  • We model the world and influence it, a core concept of active inference.
  • This contrasts with radical representationalism.
  • The approach bridges model-building with the world's inherent representational capacity.
  • Active inference suggests we can learn by interacting directly with the world.
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