15min chapter

Machine Learning Street Talk (MLST) cover image

Dr. Thomas Parr - Active Inference Book

Machine Learning Street Talk (MLST)

CHAPTER

Exploring Causality in Dynamic Systems

This chapter delves into the concept of causality and its intersection with physics, dynamic systems, and the free energy principle. It discusses the emergence of behaviors in dynamical systems, inference of causation from interaction patterns, and causation as a hypothesis to explain dynamic patterns. The conversation also highlights the process of building generative models in active inference, emphasizing the importance of domain expertise and the ongoing research in structure learning.

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