000			01805nam a2200217 4500
005			20250402143323.0
008			250402b |||||||| |||| 00| 0 eng d
020			_a9780521895606
037			_cTextual
040			_aRTL _cRTL
084			_aX:(B28) P9 _qRTL
100			_aPearl, Judea _9751745
245			_aCausality: models, reasoning, and inference
250			_a2nd
260			_aNew York _bCambridge University Press _c2009
300			_axix, 465p. _bIncludes bibliography and index
520			_aWritten 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.
650			_aCausation
650			_aProbabilities
942			_2CC _n0 _cTB _hX:(B28) P9
999			_c1308394 _d1308394