Mechanizing Proof 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Mechanizing Proof

简体网页||繁体网页
Donald Mackenzie 作者
The MIT Press
译者
2004-1-30 出版日期
440 页数
USD 31.00 价格
Paperback
丛书系列
9780262632959 图书编码

Mechanizing Proof 在线电子书 图书标签: STS  贫穷  社会学  Math   


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发表于2024-10-04


Mechanizing Proof 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Mechanizing Proof 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Mechanizing Proof 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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Mechanizing Proof 在线电子书 著者简介

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.


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Mechanizing Proof 在线电子书 图书描述

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.

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