Pearl, Judea
The book of why: the new science of cause and effect / .-- [London] : Penguin Books , 2019 .-- 418 p. ; 20 cm.
A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence.
"Correlation is not causation." This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality -- the study of cause and effect -- on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. Anyone who wants to understand either needs The Book of Why.
TABLE OF CONTENTS
Preface
INTRODUCTION. 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
Acknowledgments
Notes
Bibliography
Index
978-0-141098241-0
Economía digital
Causalidad Inteligencia artificial Big data Nuevas tecnologías
Mackenzie, Dana
The book of why: the new science of cause and effect / .-- [London] : Penguin Books , 2019 .-- 418 p. ; 20 cm.
A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence.
"Correlation is not causation." This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality -- the study of cause and effect -- on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. Anyone who wants to understand either needs The Book of Why.
TABLE OF CONTENTS
Preface
INTRODUCTION. 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
Acknowledgments
Notes
Bibliography
Index
978-0-141098241-0
Economía digital
Causalidad Inteligencia artificial Big data Nuevas tecnologías
Mackenzie, Dana