Παρουσίαση
A pioneer of artificial intelligence shows how the study of causality revolutionized science and the world.'Correlation does not imply causation.' This mantra was invoked by scientists for decades in order to avoid taking positions as to whether one thing caused another, such as smoking and cancer and carbon dioxide and global warming. But today, that taboo is dead. The causal revolution, sparked by world-renowned computer scientist Judea Pearl and his colleagues, has cut through a century of confusion and placed cause and effect on a firm scientific basis. Now, Pearl and science journalist Dana Mackenzie explain causal thinking to general readers for the first time, showing how it allows us to explore the world that is and the worlds that could have been. It is the essence of human and artificial intelligence. And just as Pearl's discoveries have enabled machines to think better, The Book of Why explains how we can think better. (From the publisher)
Περιεχόμενα
PrefaceIntroduction: Mind over data
Chapter 1. The ladder of causation
Chapter 2. From Buccaneers to guinea pigs: The genesis of causal inference
Chapter 3. From evidence to causes: Reverend Bayes meets Mr. Holmes
Chapter 4. Confounding and deconfounding: Or, Slaying the lurking variable
Chapter 5. The smoke filled debate: Clearing the air
Chapter 6. Paradoxes Galore!
Chapter 7. Beyond adjustment: The conquest of Mount Intervention
Chapter 8. Counterfactuals: Mining worlds that could have been
Chapter 9. Mediation: The search for a mechanism
Chapter 10. Big data, artificial intelligence, and the big questions
Notes
Bibliography
Acknowledgments
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