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Language and the Rise of the Algorithm

Language and the Rise of the Algorithm

Language and the Rise of the Algorithm Hardback - 2022

by Jeffrey M. Binder

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Details

  • Title Language and the Rise of the Algorithm
  • Author Jeffrey M. Binder
  • Binding Hardback
  • Condition New
  • Pages 320
  • Volumes 1
  • Language ENG
  • Publisher University of Chicago Press
  • Publication date 2022-11-25
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # A9780226822532
  • ISBN 9780226822532 / 0226822532
  • Weight 1.27 lbs (0.58 kg)
  • Dimensions 9.06 x 6.06 x 1.18 in (23.01 x 15.39 x 3.00 cm)
  • Category Computers - General Information
  • Library of Congress subjects Language and languages - Philosophy, Semantics
  • Library of Congress Catalogue Number 2022018124
  • Dewey Decimal Code 006.35
  • Quantity available 3

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From the publisher

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.

Media reviews

Citations

  • Choice, 09/01/2023, Page 0

About the author

Jeffrey M. Binder is a principal data scientist at Intellistack. He has taught at Hunter College, Pennsylvania State University, and New York University.

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