Great Ideas In Information Theory, Language And Cybernetics
Condition: SECONDHAND
This is a secondhand book. The jacket image is a photograph of the exact copy we have in stock. This image shows the condition of this book. Further condition remarks are below.
Condition remarks:
Book: Good
Jacket: Wear and tear
Pages: Good
Markings: No markings
A landmark work in the popularization of science, Great Ideas in Information Theory, Language and Cybernetics presents the foundational concepts of communication science and systems theory to a broad, intellectually curious audience. Jagjit Singh chronicles the revolutionary ideas of pioneers like Norbert Wiener and Claude Shannon, illustrating how their work gave rise to the twin disciplines of cybernetics and information theory that would reshape the modern world. Written with clarity and an engaging, accessible tone, the text details the mathematical underpinnings of how information is measured, transmitted, and decoded, while drawing compelling connections to human language and biological systems. Singh argues that these ideas are not merely technical abstractions but are deeply intertwined with how living organisms, machines, and societies communicate and self-regulate. This is an essential read for anyone seeking to understand the intellectual architecture behind computing, linguistics, and the science of control.
Author: Jagjit Singh
Format: Hardback
Published: 1967, Constable, London
Genre: Science
Condition remarks:
Book: Good
Jacket: Wear and tear
Pages: Good
Markings: No markings
A landmark work in the popularization of science, Great Ideas in Information Theory, Language and Cybernetics presents the foundational concepts of communication science and systems theory to a broad, intellectually curious audience. Jagjit Singh chronicles the revolutionary ideas of pioneers like Norbert Wiener and Claude Shannon, illustrating how their work gave rise to the twin disciplines of cybernetics and information theory that would reshape the modern world. Written with clarity and an engaging, accessible tone, the text details the mathematical underpinnings of how information is measured, transmitted, and decoded, while drawing compelling connections to human language and biological systems. Singh argues that these ideas are not merely technical abstractions but are deeply intertwined with how living organisms, machines, and societies communicate and self-regulate. This is an essential read for anyone seeking to understand the intellectual architecture behind computing, linguistics, and the science of control.