000			nam a22 i 4500
999			_c6591 _d6591
001			6591
003			ES-MaCNC
005			20221109113905.0
007			ta
008			221108s2019 -uk ||||r|||| 001 0 eng d
020			_a978-0-141098241-0
040			_aES-MaCNC _cES-MaCNC
100	1		_aPearl, Judea _97631
245	1	4	_aThe book of why: the new science of cause and effect
260			_a[London] _bPenguin Books _c2019
300			_a418 p. _c20 cm.
336			_2isbdcontent _aTexto (visual)
337			_2isbdmedia _asin mediación
520			_aA Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence. <br> "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. <br> <b>TABLE OF CONTENTS</b> <br> Preface <br> INTRODUCTION. Mind over Data <br> CHAPTER 1. The Ladder of Causation <br> CHAPTER 2. From Buccaneers to Guinea Pigs: The Genesis of Causal Inference <br> CHAPTER 3. From Evidence to Causes: Reverend Bayes Meets Mr. Holmes <br> CHAPTER 4. Confounding and Deconfounding: Or, Slaying the Lurking Variable <br> CHAPTER 5. The Smoke-Filled Debate: Clearing the Air <br> CHAPTER 6. Paradoxes Galore! <br> CHAPTER 7. Beyond Adjustment: The Conquest of Mount Intervention <br> CHAPTER 8. Counterfactuals: Mining Worlds That Could Have Been <br> CHAPTER 9. Mediation: The Search for a Mechanism <br> CHAPTER 10. Big Data, Artificial Intelligence, and the Big Questions <br> Acknowledgments <br> Notes <br> Bibliography <br> Index
650		4	_aEconomía digital _97243
653		0	_aCausalidad
653		0	_aInteligencia artificial
653		0	_aBig data
653		0	_aNuevas tecnologías
700	1		_aMackenzie, Dana _97632
856	4	1	_zVer índice _uhttp://bibliotecacnmc.bage.es/cgi-bin/koha/opac-retrieve-file.pl?id=42461f0cb3802cb401219456e7fb0ec8
942			_2udc _cMON