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.
%0 Book
%1 PearlMackenzie18
%A Pearl, Judea
%A Mackenzie, Dana
%C New York
%D 2018
%I Basic Books
%K 01941 103 ai algorithm book knowledge numerical processing science theory
%T The Book of Why
%X 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.
%@ 978-0-465-09760-9
@book{PearlMackenzie18,
abstract = {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.},
added-at = {2018-09-17T16:24:20.000+0200},
address = {New York},
author = {Pearl, Judea and Mackenzie, Dana},
biburl = {https://www.bibsonomy.org/bibtex/212360928cada467ce0f3bfa5e511752d/flint63},
file = {2018/PearlMackenzie18.pdf},
interhash = {dc0eae388b44d13b931962ebc07f5914},
intrahash = {12360928cada467ce0f3bfa5e511752d},
isbn = {978-0-465-09760-9},
isbn10 = {046509760X},
keywords = {01941 103 ai algorithm book knowledge numerical processing science theory},
language = {american},
publisher = {Basic Books},
related = {Pearl09},
shop = {https://www.basicbooks.com/titles/judea-pearl/the-book-of-why/9780465097616/},
sortdate = {2018-06-01},
subtitle = {The New Science of Cause and Effect},
timestamp = {2018-09-17T16:24:20.000+0200},
title = {The Book of Why},
year = 2018
}