#22528
Mentioned in 3 episodes

Causality

Models, Reasoning, and Inference
Book • 2000
This book provides a detailed analysis of causality, transforming it from a nebulous concept into a mathematical theory.

It applies to various fields such as statistics, artificial intelligence, economics, philosophy, cognitive science, and the health and social sciences.

Judea Pearl presents simple mathematical tools for studying causal connections and statistical associations, making it a valuable resource for students and professionals in multiple disciplines.

The book has led to a paradigmatic change in how causality is treated in several scientific fields and has been cited in over 5,000 scientific publications.

Mentioned by

Mentioned in 3 episodes

Mentioned by Steve Sloman when discussing causality and the interventional theory.
21 snips
The True Cost of Conviction
Mentioned by John Thompson when discussing causal AI and its mathematical understanding.
#233 Generative AI at EY with John Thompson, Head of AI at EY
Mentioned by Ciarán Gilligan-Lee as a book that significantly impacted his research and career path.
From Quantum Physics to Causal AI at Spotify | Ciarán Gilligan-Lee S2E2 | CausalBanditsPodcast.com
Mentioned by Amit Sharma as a book that significantly impacted his understanding of causality.
MSFT Scientist: Agents, Causal AI & Future of DoWhy | Amit Sharma S2E4 | CausalBanditsPodcast.com
Mentioned by Konrad Körding as a more in-depth resource on causality for specialists.
469: Learning Deep Learning Together

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