The Annotated Turing: A Guided Tour Through Alan Turing'S Historic Paper On Computability And The Turing Machine 9780470229057 snb txt 网盘 pdf kindle 2025 lit 下载

　　Programming Legend Charles Petzold unlocks the secrets of the

extraordinary and prescient 1936 paper by Alan M. Turing

Mathematician Alan Turing invented an imaginary computer known

as the Turing Machine; in an age before computers, he explored the

concept of what it meant to be computable, creating the field of

computability theory in the process, a foundation of present-day

computer programming.

The book expands Turing’s original 36-page paper with

additional background chapters and extensive annotations; the

author elaborates on and clarifies many of Turing’s statements,

making the original difficult-to-read document accessible to

present day programmers, computer science majors, math geeks, and

others.

Interwoven into the narrative are the highlights of Turing’s

own life: his years at Cambridge and Princeton, his secret work in

cryptanalysis during World War II, his involvement in seminal

computer projects, his speculations about artificial intelligence,

his arrest and prosecution for the crime of "gross indecency," and

his early death by apparent suicide at the age of 41.

Introduction

Part I: Foundations

Chapter 1: This Tomb Holds Diophantus

Chapter 2: The Irrational and the Transcendental

Chapter 3: Centuries of Progress

Part II: Computable Numbers

Chapter 4: The Education of Alan Turing

Chapter 5: Machines at Work

Chapter 6: Addition and Multiplication

Chapter 7: Also Known as Subroutines

Chapter 8: Everything Is a Number

Chapter 9: The Universal Machine

Chapter 10: Computers and Computability

Chapter 11: Of Machines and Men

Part III: Das Entscheidungsproblem

Chapter 12: Logic and Computability

Chapter 13: Computable Functions

Chapter 14: The Major Proof

Chapter 15: The Lambda Calculus

Chapter 16: Conceiving the Continuum

Part IV And Beyond

Chapter 17: Is Everything a Turing Machine? Chapter 18: The Long

Sleep of Diophantus

Selected Bibliography

Index.

　　English mathematician Alan Turing (1912–1954) is the author of

the 1936 paper "On Computable Numbers, with an Application to the

Entscheidungsproblem" that introduced the imaginary computer called

the Turing Machine for understanding the nature and limitations of

computing. His famous 1950 article "Computing Machinery and

Intelligence" introduced the Turing Test for gauging artificial

intelligence.

　　American writer Charles Petzold (1953–) is the author of the

acclaimed 1999 book Code: The Hidden Language of Computer Hardware

and Software, a unique exploration into the digital technologies of

computers. He is also the author of hundreds of articles about

computer programming, as well as several books on writing programs

that run under Microsoft Windows. His Web site is

www.charlespetzold.com.

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　　Before digital computers ever existed, Alan Turing envisioned

their power and versatility...but also proved what computers could

never do.

　　In an extraordinary and ultimately tragic life that unfolded

like a novel, Turing helped break the German Enigma code to turn

the tide of World War II, later speculated on artificial

intelligence, fell victim to the homophobic witchhunts of the early

1950s, and committed suicide at the age of 41. Yet Turing is most

famous for an eerily prescient 1936 paper in which he invented an

imaginary computing machine, explored its capabilities and

intrinsic limitations, and established the foundations of

modern-day programming and computability.

　　This absorbing book expands Turing's now legendary 36-page

paper with extensive annotations, fascinating historical context,

and page-turning glimpses into his private life. From his use of

binary numbers to his exploration of concepts that today's

programmers will recognize as RISC processing, subroutines,

algorithms, and others, Turing foresaw the future and helped to

mold it. In our post-Turing world, everything is a Turing Machine —

from the most sophisticated computers we can build, to the hardly

algorithmic processes of the human mind, to the information-laden

universe in which we live.