
The Constitution of Algorithms
Ground-Truthing, Programming, Formulating
MIT Press
Published on 27. April 2021
Book
Paperback/Softback
400 pages
978-0-262-54214-2 (ISBN)
Description
A laboratory study that investigates how algorithms come into existence.
Algorithms--often associated with the terms big data, machine learning, or artificial intelligence--underlie the technologies we use every day, and disputes over the consequences, actual or potential, of new algorithms arise regularly. In this book, Florian Jaton offers a new way to study computerized methods, providing an account of where algorithms come from and how they are constituted, investigating the practical activities by which algorithms are progressively assembled rather than what they may suggest or require once they are assembled.
Algorithms--often associated with the terms big data, machine learning, or artificial intelligence--underlie the technologies we use every day, and disputes over the consequences, actual or potential, of new algorithms arise regularly. In this book, Florian Jaton offers a new way to study computerized methods, providing an account of where algorithms come from and how they are constituted, investigating the practical activities by which algorithms are progressively assembled rather than what they may suggest or require once they are assembled.
More details
Series
Language
English
Place of publication
Cambridge (Massachusetts)
United States
Publishing group
MIT Press Ltd
Illustrations
63 figures
Dimensions
Height: 228 mm
Width: 150 mm
Thickness: 25 mm
Weight
540 gr
ISBN-13
978-0-262-54214-2 (9780262542142)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
04/2021
MIT Press
€58.99
Available for download
Persons
Florian Jaton; foreword by Geoffrey C. Bowker
Content
Foreword ix
Acknowledgments xi
Introduction 1
I Ground-Truthing 27
1 Studying Computer Scientists 31
2 A First Case Study 51
II Programming 87
3 Von Neumann's Draft, Electronic Brains, and Cognition 93
4 A Second Case Study 135
III Formulating 197
5 Mathematics as a Science 203
6 A Third Case Study 237
Conclusion 283
Glosary 291
Notes 299
References 325
Index 365
Acknowledgments xi
Introduction 1
I Ground-Truthing 27
1 Studying Computer Scientists 31
2 A First Case Study 51
II Programming 87
3 Von Neumann's Draft, Electronic Brains, and Cognition 93
4 A Second Case Study 135
III Formulating 197
5 Mathematics as a Science 203
6 A Third Case Study 237
Conclusion 283
Glosary 291
Notes 299
References 325
Index 365