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The Dynamics of Science : Computational Frontiers in History and Philosophy of Science

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Title: The Dynamics of Science : Computational Frontiers in History and Philosophy of Science
Description: Millions of scientific articles are published each year, making it difficult to stay abreast of advances within even the smallest subdisciplines. Traditional approaches to the study of science, such as the history and philosophy of science, involve closely reading a relatively small set of journal articles. And yet many questions benefit from casting a wider net: Is most scientific change gradual or revolutionary? What are the key sources of scientific novelty? Over the past several decades, a massive effort to digitize the academic literature and equip computers with algorithms that can distantly read and analyze a digital database has taken us one step closer to answering these questions. The Dynamics of Science brings together a diverse array of contributors to examine the largely unexplored computational frontiers of history and philosophy of science. Together, they reveal how tools and data from automated textual analysis, or machine “reading,” combined with methods and models from game theory and cultural evolutionary theory, can begin to answer fundamental questions about the nature and history of science.
Authors: Grant Ramsey, Andreas De Block
Resource Type: eBook.
Subjects: Dynamics, Science--Philosophy, Science--Mathematical models
Categories: SCIENCE / Philosophy & Social Aspects, SCIENCE / History
Database: eBook Collection (EBSCOhost)
FullText Links:
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  – Type: ebook-epub
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 3448665
RelevancyScore: 1110
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1109.74133300781
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  Data: The Dynamics of Science : Computational Frontiers in History and Philosophy of Science
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  Data: Millions of scientific articles are published each year, making it difficult to stay abreast of advances within even the smallest subdisciplines. Traditional approaches to the study of science, such as the history and philosophy of science, involve closely reading a relatively small set of journal articles. And yet many questions benefit from casting a wider net: Is most scientific change gradual or revolutionary? What are the key sources of scientific novelty? Over the past several decades, a massive effort to digitize the academic literature and equip computers with algorithms that can distantly read and analyze a digital database has taken us one step closer to answering these questions. The Dynamics of Science brings together a diverse array of contributors to examine the largely unexplored computational frontiers of history and philosophy of science. Together, they reveal how tools and data from automated textual analysis, or machine “reading,” combined with methods and models from game theory and cultural evolutionary theory, can begin to answer fundamental questions about the nature and history of science.
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  Data: <searchLink fieldCode="DE" term="%22Dynamics%22">Dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Science--Philosophy%22">Science--Philosophy</searchLink><br /><searchLink fieldCode="DE" term="%22Science--Mathematical+models%22">Science--Mathematical models</searchLink>
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    Classifications:
      – Code: 003
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Dynamics
        Type: general
      – SubjectFull: Science--Philosophy
        Type: general
      – SubjectFull: Science--Mathematical models
        Type: general
    Titles:
      – TitleFull: The Dynamics of Science : Computational Frontiers in History and Philosophy of Science
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Grant Ramsey
      – PersonEntity:
          Name:
            NameFull: Andreas De Block
      – PersonEntity:
          Name:
            NameFull: Grant Ramsey
      – PersonEntity:
          Name:
            NameFull: Andreas De Block
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2022
            – D: 06
              M: 12
              Type: profile
              Y: 2022
          Identifiers:
            – Type: isbn-print
              Value: 9780822947370
            – Type: isbn-electronic
              Value: 9780822989097
          Titles:
            – TitleFull: The Dynamics of Science : Computational Frontiers in History and Philosophy of Science
              Type: main
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