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Dr. Thomas Parr - Active Inference Book
Machine Learning Street Talk (MLST)
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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