Turing's Vision: The Birth of Computer Science (Mit Press)

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Características del artículo

Estado
En buen estado: Libro que se ha leído pero que está en buen estado. Daños mínimos en la tapa, ...
Release Year
2017
Book Title
Turing's Vision: The Birth of Computer Science (Mit Press)
ISBN
9780262533515
Categoría

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Product Identifiers

Publisher
MIT Press
ISBN-10
0262533510
ISBN-13
9780262533515
eBay Product ID (ePID)
228915011

Product Key Features

Number of Pages
208 Pages
Language
English
Publication Name
Turing's Vision : the Birth of Computer Science
Publication Year
2017
Subject
Programming / Algorithms, Cultural Heritage, Computer Science, History, Computer Engineering, Science & Technology
Type
Textbook
Author
Chris Bernhardt
Subject Area
Computers, Biography & Autobiography
Format
Trade Paperback

Dimensions

Item Height
0.7 in
Item Weight
7.6 Oz
Item Length
11.1 in
Item Width
5.4 in

Additional Product Features

Intended Audience
Trade
LCCN
2015-039955
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
510.92 B
Synopsis
An accessible and fascinating exploration of how Alan Turing's mathematical theory gave rise to modern computer science and applications--from the desktops to cell phones In 1936, when he was just 24 years old, Alan Turing wrote a remarkable paper in which he outlined the theory of computation, laying out the ideas that underlie all modern computers. This groundbreaking and powerful theory now forms the basis of computer science. In Turing's Vision , Chris Bernhardt explains the theory for the general reader, beginning with its foundations and systematically building to its surprising conclusions. He also views Turing's theory in the context of mathematical history, other views of computation (including those of Alonzo Church), Turing's later work, and the birth of the modern computer. Turing wanted to show that there were problems that were beyond any computer's ability to solve; in particular, he wanted to find a decision problem that he could prove was undecidable. To explain Turing's ideas, Bernhardt examines 3 well-known decision problems to explore the concept of undecidability; investigates theoretical computing machines, including Turing machines; explains universal machines; and proves that certain problems are undecidable, including Turing's problem concerning computable numbers., An accessible and fascinating exploration of how Alan Turing's mathematical theory gave rise to modern computer science and applications-from the desktops to cell phones In 1936, when he was just 24 years old, Alan Turing wrote a remarkable paper in which he outlined the theory of computation, laying out the ideas that underlie all modern computers. This groundbreaking and powerful theory now forms the basis of computer science. In Turing's Vision , Chris Bernhardt explains the theory for the general reader, beginning with its foundations and systematically building to its surprising conclusions.He also views Turing's theory in the context of mathematical history, other views of computation (including those of Alonzo Church), Turing's later work, and the birth of the modern computer. Turing wanted to show that there were problems that were beyond any computer's ability to solve; in particular, he wanted to find a decision problem that he could prove was undecidable. To explain Turing's ideas, Bernhardt examines 3 well-known decision problems to explore the concept of undecidability; investigates theoretical computing machines, including Turing machines; explains universal machines; and proves that certain problems are undecidable, including Turing's problem concerning computable numbers., Turing's fascinating and remarkable theory, which now forms the basis of computer science, explained for the general reader. In 1936, when he was just twenty-four years old, Alan Turing wrote a remarkable paper in which he outlined the theory of computation, laying out the ideas that underlie all modern computers. This groundbreaking and powerful theory now forms the basis of computer science. In Turing's Vision , Chris Bernhardt explains the theory, Turing's most important contribution, for the general reader. Bernhardt argues that the strength of Turing's theory is its simplicity, and that, explained in a straightforward manner, it is eminently understandable by the nonspecialist. As Marvin Minsky writes, "The sheer simplicity of the theory's foundation and extraordinary short path from this foundation to its logical and surprising conclusions give the theory a mathematical beauty that alone guarantees it a permanent place in computer theory." Bernhardt begins with the foundation and systematically builds to the surprising conclusions. He also views Turing's theory in the context of mathematical history, other views of computation (including those of Alonzo Church), Turing's later work, and the birth of the modern computer. In the paper, "On Computable Numbers, with an Application to the Entscheidungsproblem ," Turing thinks carefully about how humans perform computation, breaking it down into a sequence of steps, and then constructs theoretical machines capable of performing each step. Turing wanted to show that there were problems that were beyond any computer's ability to solve; in particular, he wanted to find a decision problem that he could prove was undecidable. To explain Turing's ideas, Bernhardt examines three well-known decision problems to explore the concept of undecidability; investigates theoretical computing machines, including Turing machines; explains universal machines; and proves that certain problems are undecidable, including Turing's problem concerning computable numbers.
LC Classification Number
QA29.T8A57 2016

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