#10828

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

Konrad Körding

Ciarán Gilligan-Lee

Mentioned in 3 episodes

Mentioned by Steve Sloman when discussing causality and the interventional theory.

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

Laura Schulz

when discussing causal reasoning and its application in developmental psychology.

152 - Laura Schulz: The journey of becoming a cognitive scientist and what babies and children have taught us about their cognition (REAIR)

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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