Causal Model Discovery with Algorithmic Information Dynamics

Описание к видео Causal Model Discovery with Algorithmic Information Dynamics

Invited talk to the Swarma Club delivered in the Summer of 2023, Dr. Hector Zenil introduces Algorithmic Information Dynamics (AID), a theoretical framework that combines algorithmic information theory and dynamical systems theory to study the causal content of complex systems. He discusses how AID can be used to discover causal models and caudal relationships from data without relying on prior knowledge or assumptions about the system, and provides real-world examples to demonstrate the practical application of AID in areas such as living systems, molecular biology, selection, and evolution.

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