Description: Causality by 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, philosophy, and cognitive science. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description 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. Author Biography Judea Pearl is professor of computer science and statistics at the University of California, Los Angeles, where he directs the Cognitive Systems Laboratory and conducts research in artificial intelligence, human reasoning, and philosophy of science. The author of Heuristics and Probabilistic Reasoning, he is a member of the National Academy of Engineering and a Founding Fellow of the American Association for Artificial Intelligence. Dr. Pearl is the recipient of the IJCAI Research Excellence Award for 1999, the London School of Economics Lakatos Award for 2001, and the ACM Alan Newell Award for 2004. In 2008, he received the Franklin Medal for computer and cognitive science from the Franklin Institute. Table of Contents 1. Introduction to probabilities, graphs, and causal models; 2. A theory of inferred causation; 3. Causal diagrams and the identification of causal effects; 4. Actions, plans, and direct effects; 5. Causality and structural models in social science and economics; 6. Simpsons paradox, confounding, and collapsibility; 7. The logic of structure-based counterfactuals; 8. Imperfect experiments: bounding effects and counterfactuals; 9. Probability of causation: interpretation and identification; 10. The actual cause. Review Make no mistake about it: this is an important book … The field has no shortage of lively controversy and divergent opinion, but be that as it may, this is certainly one of the contributions that will bring this material further out of the closet and into the face of the broader statistical community, a move that we should welcome both as consumers and as testers of its utility. Journal of the American Statistical AssociationPearls career has been motivated by problems of artificial intelligence, but the implications of this book are much broader. The distinctions he raises and the mathematical foundation he assembles are critical for every field of scientific endeavor. This updated edition of a modern classic deserves a broad and attentive audience. H. Van Dyke Parunak, reviews.com Promotional Written by one of the preeminent researchers in the field, this provides a comprehensive exposition of modern analysis of causation. Prizes Winner of ACM Turing Award for Transforming Artificial Intelligence 2011 Review Quote "Pearls career has been motivated by problems of artificial intelligence, but the implications of this book are much broader. The distinctions he raises and the mathematical foundation he assembles are critical for every field of scientific endeavor. This updated edition of a modern classic deserves a broad and attentive audience." H. Van Dyke Parunak, reviews.com Promotional "Headline" Written by one of the preeminent researchers in the field, this provides a comprehensive exposition of modern analysis of causation. Description for Bookstore 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, philosophy, and cognitive science. Description for Library 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, philosophy, and cognitive science. Details ISBN052189560X Author Judea Pearl Short Title CAUSALITY 2/E Publisher Cambridge University Press Language English Edition 2nd ISBN-10 052189560X ISBN-13 9780521895606 Media Book Format Hardcover DEWEY 519.5 Year 2009 Imprint Cambridge University Press Place of Publication Cambridge Country of Publication United Kingdom Replaces 9780521773621 Affiliation University of California, Los Angeles Subtitle Models, Reasoning, and Inference UK Release Date 2009-09-14 AU Release Date 2009-09-14 NZ Release Date 2009-09-14 Illustrations 7 Tables, unspecified; 58 Halftones, unspecified; 66 Line drawings, unspecified Pages 484 Edition Description 2nd Revised edition Publication Date 2009-09-14 Alternative 9780511803161 Audience Tertiary & Higher Education We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:168643229;
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ISBN-13: 9780521895606
Book Title: Causality
Number of Pages: 484 Pages
Language: English
Publication Name: Causality
Publisher: Cambridge University Press
Publication Year: 2009
Subject: Science
Item Height: 260 mm
Item Weight: 1030 g
Type: Textbook
Author: Judea Pearl
Item Width: 185 mm
Format: Hardcover
