Mechanizing Proof | Computing, Risk, and Trust

Donald Mackenzie

ISBN 10: 0262632950 / ISBN 13: 9780262632959

Published by MIT Press, 2004

About this Item

Mechanizing Proof | Computing, Risk, and Trust | Donald Mackenzie | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2004 | MIT Press | EAN 9780262632959 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 128836502

Bibliographic Details

• Title: Mechanizing Proof | Computing, Risk, and Trust
• Publisher: MIT Press
• Publication Date: 2004
• Language: English
• ISBN 10: 0262632950
• ISBN 13: 9780262632959
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 229W x 152H x 24D millimeters 229 millimeters width by 152 millimeters height by 24 millimeters depth
• Weight: 633 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Most aspects of our private and social lives—our safety, the integrity of the financial system, the functioning of utilities and other services, and national security—now depend on computing. But how can we know that this computing is trustworthy? In Mechanizing Proof, Donald MacKenzie addresses this key issue by investigating the interrelations of computing, risk, and mathematical proof over the last half century from the perspectives of history and sociology. His discussion draws on the technical literature of computer science and artificial intelligence and on extensive interviews with participants.

MacKenzie argues that our culture now contains two ideals of proof: proof as traditionally conducted by human mathematicians, and formal, mechanized proof. He describes the systems constructed by those committed to the latter ideal and the many questions those systems raise about the nature of proof. He looks at the primary social influence on the development of automated proof—the need to predict the behavior of the computer systems upon which human life and security depend—and explores the involvement of powerful organizations such as the National Security Agency. He concludes that in mechanizing proof, and in pursuing dependable computer systems, we do not obviate the need for trust in our collective human judgment.

About the Author

Donald MacKenzie is Professor of Sociology (Personal Chair) at the University of Edinburgh. His books include Inventing Accuracy (1990), Knowing Machines (1996), and Mechanizing Proof (2001), all published by the MIT Press. Portions of An Engine, not a Camera won the Viviana A. Zelizer Prize in economic sociology from the American Sociological Association.