Readings in Uncertain Reasoning. Edited by Shafer & Pearl

  • Post author:
  • Post category:
  • Post comments:0 Comentários

Readings in Uncertain Reasoning. Edited by Shafer & Pearl. [1990] Morgan-Kaufmann; very good or better larger-format glossy softcover. 768 pages of pre-world-wide-web analysis of artificial intelligence, statistics, probability, decision theory, and all kinds of egghead stuff dealing with the future (today) and particularly AI. This is a fascinating text, with contributions from writers in the sixties, seventies, and eighties.

Continuar lendo Readings in Uncertain Reasoning. Edited by Shafer & Pearl

The Book of Why: The New Science of Cause and Effect

  • Post author:
  • Post category:
  • Post comments:0 Comentários

You are purchasing a Acceptable copy of 'The Book of Why: The New Science of Cause and Effect'. Condition Notes: A heavily used but readable copy. All text pages are present and legible. May be an older version with a different cover than what is shown in photos.

Continuar lendo The Book of Why: The New Science of Cause and Effect

Heuristics, Probability And Causality A Tribute To Judea Pearl

  • Post author:
  • Post category:
  • Post comments:0 Comentários

Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Heuristics, Probability And Causality A Tribute To Judea PearlISBN13:9781904987659ISBN10:1904987656Author:Dechter, Rina (Editor), Geffner, Hector (Editor), Halpern, Joseph y. (Editor)Description:The Field Of Artificial Intelligence Has Changed A Great Deal Since The 80S, And Arguably No One Has Played A Larger Role In That Change Than Judea Pearl Judea Pearl's Work Made Probability The Prevailing Language Of Modern Ai And, Perhaps More Significantly, It Placed The Elaboration Of Crisp And Meaningful Models, And Of Effective Computational Mechanisms, At The Center Of Ai Research This Book Is A Collection Of Articles In Honor Of Judea Pearl, Written By Close Colleagues And Former Students Its Three Main Parts, Heuristics, Probabilistic Reasoning, And Causality, Correspond To The Titles Of The Three Ground-Breaking Books Authored By Judea, And Are Followed By A Section Of Short Reminiscences In This Volume, Leading Authors Look At The State Of The Art In The Fields Of Heuristic, Probabilistic, And Causal Reasoning, In Light Of Judea's Seminal Contributors The Authors List Include Blai Bonet, Eric Hansen, Robert Holte, Jonathan Schaeffer, Ariel Felner, Richard Korf, Austin Parker, Dana Nau, V S Subrahmanian, Hector Geffner, Ira Pohl, Adnan Darwiche, Thomas Dean, Rina Dechter, Bozhena Bidyuk, Robert Matescu, Emma Rollon, Michael I Jordan, Michael Kearns, Daphne Koller, Brian Milch, Stuart Russell, Azaria Paz, David Poole, Ingrid Zukerman, Carlos Brito, Philip Dawid, Felix Elwert, Christopher Winship, Michael Gelfond, Nelson Rushton, Moises Goldszmidt, Sander Greenland, Joseph Y Halpern, Christopher Hitchcock, David Heckerman, Ross Shachter, Vladimir Lifschitz, Thomas Richardson, James Robins, Yoav Shoham, Peter Spirtes, Clark Glymour, Richard Scheines, Robert Tillman, Wolfgang Spohn, Jian Tian, Ilya Shpitser, Nils Nilsson, Edward T Purcell, And David Spiegelhalter Binding:Paperback, PaperbackPublisher:KINGS COLLEGE PUBNPublication Date:2010-02-05Weight:2.19 lbsDimensions:1.17'' H x 10'' L x 7'' WNumber of Pages:580Language:English

Continuar lendo Heuristics, Probability And Causality A Tribute To Judea Pearl

The Book of Why: The New Science of Cause and Effect (Penguin Science), Pearl, J

  • Post author:
  • Post category:
  • Post comments:0 Comentários

Delve into the fascinating world of cause and effect with 'The Book of Why: The New Science of Cause and Effect (Penguin Science)' by Judea Pearl and Dana Mackenzie. This thought-provoking read explores the intricate concepts of artificial intelligence, computer science, mathematics, and science through a captivating narrative that is sure to intrigue and educate.This paperback study guide, published by Penguin Books LTD in 2019, is a must-have for anyone interested in expanding their knowledge in the aforementioned subjects. With 432 pages of insightful content, this book is a great addition to any library and is guaranteed to provide hours of enjoyable reading.

Continuar lendo The Book of Why: The New Science of Cause and Effect (Penguin Science), Pearl, J

The Book of Why: The New Science of Cause and Effect

  • Post author:
  • Post category:
  • Post comments:0 Comentários

You are purchasing a Acceptable copy of 'The Book of Why: The New Science of Cause and Effect'. Condition Notes: Book is in acceptable condition. Book shows internal external wear on spine or cover and may be slightly skewed or have creased pages.

Continuar lendo The Book of Why: The New Science of Cause and Effect

The Book of Why: The New Science of Cause and Effect

  • Post author:
  • Post category:
  • Post comments:0 Comentários

You are purchasing a Acceptable copy of 'The Book of Why: The New Science of Cause and Effect'. Condition Notes: Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing.

Continuar lendo The Book of Why: The New Science of Cause and Effect

Causality: Models, Reasoning, and Inference

  • Post author:
  • Post category:
  • Post comments:0 Comentários

"Causality: Models, Reasoning, and Inference" by Judea Pearl is a comprehensive textbook exploring the subject area of causality through models, reasoning, and inference. Published by Cambridge University Press in 2000, (reprinted 2005) this hardcover book is written in English and covers various disciplines such as economics, engineering, philosophy, and statistics. With a focus on advanced and technical levels, this textbook discusses topics like system theory, epidemiology, and mathematical analysis, making it a valuable resource for adult education and further study in the field of causality."

Continuar lendo Causality: Models, Reasoning, and Inference