The Constitution of Algorithms
Ground-Truthing, Programming, Formulating
Published on 27. April 2021
400 pages
978-0-262-36233-7 (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.
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Florian Jaton | Geoffrey C. Bowker
The Constitution of Algorithms
Ground-Truthing, Programming, Formulating
Book
04/2021
MIT Press
€71.00
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Florian Jaton is a Postdoctoral Researcher at the STS Lab at the University of Lausanne.
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
