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Probabilistic and Causal Inference : The Works of Judea Pearl

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Title: Probabilistic and Causal Inference : The Works of Judea Pearl
Description: 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.
Authors: Hector Geffner, Rina Dechter, Joseph Halpern
Resource Type: eBook.
Subjects: Causation, Artificial intelligence, Probabilities
Categories: COMPUTERS / Data Science / Machine Learning, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Artificial Intelligence / Expert Systems
Database: eBook Collection (EBSCOhost)
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Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 3319087
RelevancyScore: 1110
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1109.74133300781
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  Data: 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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  Data: <searchLink fieldCode="AR" term="%22Hector+Geffner%22">Hector Geffner</searchLink><br /><searchLink fieldCode="AR" term="%22Rina+Dechter%22">Rina Dechter</searchLink><br /><searchLink fieldCode="AR" term="%22Joseph+Halpern%22">Joseph Halpern</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Causation%22">Causation</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Probabilities%22">Probabilities</searchLink>
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      – Code: 153
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Causation
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Probabilities
        Type: general
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      – TitleFull: Probabilistic and Causal Inference : The Works of Judea Pearl
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            NameFull: Hector Geffner
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            NameFull: Rina Dechter
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            NameFull: Joseph Halpern
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            NameFull: Rina Dechter
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2022
            – D: 02
              M: 02
              Type: profile
              Y: 2023
          Identifiers:
            – Type: isbn-print
              Value: 9781450395878
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              Value: 9781450395892
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              Value: 9781450395885
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              Value: 00036
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            – TitleFull: Probabilistic and Causal Inference : The Works of Judea Pearl
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