Probabilistic and Causal Inference

Probabilistic and Causal Inference
Author :
Publisher : Morgan & Claypool
Total Pages : 946
Release :
ISBN-10 : 9781450395892
ISBN-13 : 1450395899
Rating : 4/5 (899 Downloads)

Book Synopsis Probabilistic and Causal Inference by : Hector Geffner

Download or read book Probabilistic and Causal Inference written by Hector Geffner and published by Morgan & Claypool. This book was released on 2022-03-10 with total page 946 pages. Available in PDF, EPUB and Kindle. Book excerpt: Professor Judea Pearl won the 2011 Turing Award “for fundamental contributions to artificial intelligence through the development of a calculus for probabilistic and causal reasoning.” This book contains the original articles that led to the award, as well as other seminal works, divided into four parts: heuristic search, probabilistic reasoning, causality, first period (1988–2001), and causality, recent period (2002–2020). Each of these parts starts with an introduction written by Judea Pearl. The volume also contains original, contributed articles by leading researchers that analyze, extend, or assess the influence of Pearl’s work in different fields: from AI, Machine Learning, and Statistics to Cognitive Science, Philosophy, and the Social Sciences. The first part of the volume includes a biography, a transcript of his Turing Award Lecture, two interviews, and a selected bibliography annotated by him.


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