JUDEA PEARL

Written by one of the preeminent researchers in the field, this book provides a comprehensive exposition of modern analysis of causation. It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, economics, philosophy, cognitive science, and the health and social sciences. Judea Pearl presents and unifies the probabilistic, manipulative, counterfactual, and structural approaches to causation and devises simple mathematical tools for studying the relationships between causal connections and statistical associations. Cited in more than 2,100 scientific publications, it continues to liberate scientists from the traditional molds of statistical thinking. In this revised edition, Judea Pearl elucidates thorny issues, answers readers` questions, and offers a panoramic view of recent advances in this field of research. Causality will be of interest to students and professionals in a wide variety of fields. Dr Judea Pearl has received the 2011 Rumelhart Prize for his leading research in Artificial Intelligence (AI) and systems from The Cognitive Science Society. Presents the first unified account of the various approaches to causation Offers simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions, and observations Facilitates the incorporation of causal analysis as an integral part of the standard curricula in statistics, artificial intelligence, business, epidemiology, social science, and economics The author is the winner of the prestigious Technion Harvey Prize 2012, considered a good predictor of the Nobel Prize, `in recognition of his foundational work that has touched a multitude of spheres of modern life`

El objetivo de este libro es cambiar nuestra manera de entender el mundo y la información que día a día procesamos. En lugar de ser esclavos de los datos, este libro nos dota de las herramientas básicas (algunas de ellas muy sencillas) para aprender a preguntar "¿Por que?" y tomar las mejores decisiones posibles. Un libro que ya es esencial en todos los cursos de empresariales, economia, psicologia, medicina y filosofia.¿Alguna vez te has interesado por los rompecabezas y el misterio de las causas y los efectos? En este libro encontraras respuestas que iluminaran tu camino. Ademas, es entretenidisimo. DANIEL KAHNEMAN (autor de Pensar rapido, pensar despacio).

The "extraordinary" (Science Friday), "illuminating" (New York Times) argument for 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. Pearls 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.

The hugely influential book on how the understanding of causality revolutionized science and the world, by the pioneer of artificial intelligenceWonderful ... illuminating and fun to readDaniel Kahneman, Nobel Prize-winner and author of Thinking, Fast and SlowCorrelation does not imply causation. For decades, this mantra was invoked by scientists in order to avoid taking positions as to whether one thing caused another, such as smoking and cancer, or 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 Pearls discoveries have enabled machines to think better, The Book of Why explains how we too can think better.Pearls accomplishments over the last 30 years have provided the theoretical basis for progress in artificial intelligence and have redefined the term "thinking machine"Vint Cerf

«¿Alguna vez te has interesado por los rompecabezas y el misterio de las causas y los efectos? En este libro encontrarás respuestas que iluminarán tu camino. Además, es entretenidísimo». DANIEL KAHNE