2009. 2nd Edition. hardcover. Written by one of the preeminent researchers in the field, this provides a comprehensive exposition of modern analysis of causation. Num Pages: 484 pages, 124 b/w illus. 7 tables. BIC Classification: PDA. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 261 x 186 x 29. Weight in Grams: 1044. Models, Reasoning and Inference. 484 pages, 124 b/w illus. 7 tables. Written by one of the preeminent researchers in the field, this provides a comprehensive exposition of modern analysis of causation. Cateogry: (P) Professional & Vocational; (U) Tertiary Education (US: College). BIC Classification: PDA. Dimension: 261 x 186 x 29. Weight: 1048. . . . . . Books ship from the US and Ireland.

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Detalles bibliogr�ficos

T�tulo: Causality: Models, Reasoning and Inference
Editor: Cambridge University Press
Fecha de publicaci�n: 2009
Idioma: Ingl�s
ISBN 10: 052189560X
ISBN 13: 9780521895606
Encuadernaci�n: Encuadernaci�n de tapa dura
Edici�n: 2� Edici�n
Estado: New

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Sinopsis

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.

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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.

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