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Machine Learning Street Talk (MLST)

Dr. Thomas Parr - Active Inference Book

May 1, 2024
01:37:09
Snipd AI
Dr. Thomas Parr, co-author of 'Active Inference' book, discusses the unifying Active Inference framework by Prof. Karl Friston, exploring living systems, agency, biology, and consciousness. Topics include resisting entropy, deep questions about causality, modeling, and consciousness, and the complexity of understanding language statistics and hidden causes.
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Podcast summary created with Snipd AI

Quick takeaways

  • Active Inference unifies physics, biology, and psychology to explore agency and causality.
  • The dual perspective of Active Inference involves holistic resistance to entropy and mathematical Bayesian mechanics.

Deep dives

Active Inference: A Comprehensive Overview

Active Inference, as discussed in the podcast, delves into two key perspectives: the high road and the low road. The high road offers a holistic view, emphasizing how organisms resist entropic forces by minimizing free energy. In contrast, the low road delves into the mathematical aspects, exploring Bayesian mechanics, variational inference, and treating perception as perceptual inference. This dual approach converges to highlight the role of action in perception and planning within active inference.

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