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Autor(en): 
  • Jeffrey M. Binder
  • Language and the Rise of the Algorithm 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  November 2022  
    Genre:  EDV / Informatik 
     
    Algorithms / computer science / COMPUTERS / Computer Science / George Boole / Gottfried Wilhelm Leibniz / History of mathematics / Intellectual History / machine learning
    ISBN:  9780226822532 
    EAN-Code: 
    9780226822532 
    Verlag:  University Presses 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 229 mm / B 152 mm / D 30 mm 
    Gewicht:  567 gr 
    Seiten:  320 
    Illustration:  22 halftones 
    Zus. Info:  Hardback 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:

    A wide-ranging history of the algorithm.

    Bringing together the histories of mathematics, computer science, and linguistic thought, Language and the Rise of the Algorithm reveals how recent developments in artificial intelligence are reopening an issue that troubled mathematicians well before the computer age: How do you draw the line between computational rules and the complexities of making systems comprehensible to people? By attending to this question, we come to see that the modern idea of the algorithm is implicated in a long history of attempts to maintain a disciplinary boundary separating technical knowledge from the languages people speak day to day.

    Here, Jeffrey M. Binder offers a compelling tour of four visions of universal computation that addressed this issue in very different ways: G. W. Leibniz's calculus ratiocinator; a universal algebra scheme Nicolas de Condorcet designed during the French Revolution; George Boole's nineteenth-century logic system; and the early programming language ALGOL, short for algorithmic language. These episodes show that symbolic computation has repeatedly become entangled in debates about the nature of communication. Machine learning, in its increasing dependence on words, erodes the line between technical and everyday language, revealing the urgent stakes underlying this boundary.

    The idea of the algorithm is a levee holding back the social complexity of language, and it is about to break. This book is about the flood that inspired its construction.

      



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