
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.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.