Theory of Information: Fundamentality, Diversity and Unification

Theory of Information: Fundamentality, Diversity and Unification
ISBN-10
9812835490
ISBN-13
9789812835499
Category
Computers
Pages
688
Language
English
Published
2010
Publisher
World Scientific
Author
Mark Burgin

Description

This unique volume presents a new approach OCo the general theory of information OCo to scientific understanding of information phenomena. Based on a thorough analysis of information processes in nature, technology, and society, as well as on the main directions in information theory, this theory synthesizes existing directions into a unified system. The book explains how this theory opens new kinds of possibilities for information technology, information sciences, computer science, knowledge engineering, psychology, linguistics, social sciences, and education. The book also gives a broad introduction to the main mathematically-based directions in information theory. The general theory of information provides a unified context for existing directions in information studies, making it possible to elaborate on a comprehensive definition of information; explain relations between information, data, and knowledge; and demonstrate how different mathematical models of information and information processes are related. Explanation of information essence and functioning is given, as well as answers to the following questions: how information is related to knowledge and data; how information is modeled by mathematical structures; how these models are used to better understand computers and the Internet, cognition and education, communication and computation. Sample Chapter(s). Chapter 1: Introduction (354 KB). Contents: General Theory of Information; Statistical Information Theory; Semantic Information Theory; Algorithm Information Theory; Pragmatic Information Theory; Dynamics of Information. Readership: Professionals in information processing, and general readers interested in information and information processes.

Get the book

Amazon.com
Amazon.com
Search the book
eBay.com
eBay.com
Search the book

Other editions

Similar books

  • Elements of Information Theory
    Elements of Information Theory
    By Thomas M. Cover, Joy A. Thomas

    The Second Edition features: Chapters reorganized to improve teaching 200 new problems New material on source coding, portfolio theory, and feedback capacity Updated references Now current and enhanced, the Second Edition of Elements of ...

  • Theory of Information and its Value
    Theory of Information and its Value
    By Ruslan L. Stratonovich

    This book is even more relevant today than when it was first published in 1975.

  • Information Theory, Inference and Learning Algorithms
    Information Theory, Inference and Learning Algorithms
    By David J. C. MacKay

    MACKAY , D. J. C. , and NEAL , R. M. ( 1995 ) Good codes based for blind source separation . In ICA : Principles and Practice , ed . by S. Roberts and R. Everson . Cambridge Univ . Press . on very sparse matrices .

  • Mathematical Foundations of Information Theory
    Mathematical Foundations of Information Theory
    By Aleksandr I?Akovlevich Khinchin

    First comprehensive introduction to information theory explores the work of Shannon, McMillan, Feinstein, and Khinchin. Topics include the entropy concept in probability theory, fundamental theorems, and other subjects. 1957 edition.

  • The Mathematical Theory of Communication
    The Mathematical Theory of Communication
    By Warren Weaver, Claude E Shannon

    Scientific knowledge grows at a phenomenal pace--but few books have had as lasting an impact or played as important a role in our modern world as The Mathematical Theory of Communication, published originally as a paper on communication ...

  • Information Theory
    Information Theory
    By Robert B. Ash

    Information Theory

  • An Introduction to Single-User Information Theory
    An Introduction to Single-User Information Theory
    By Fady Alajaji, Po-Ning Chen

    ... New York, 1995) C.M. Bishop, Pattern Recognition and Machine Learning (Springer, Berlin, 2006) R.E. Blahut, Computation of channel capacity and rate-distortion functions. IEEE Trans. Inf. Theory 18(4), 460–473 (1972) R.E. Blahut, ...

  • New Foundations for Information Theory: Logical Entropy and Shannon Entropy
    New Foundations for Information Theory: Logical Entropy and Shannon Entropy
    By David Ellerman

    Relatively short but dense in content, this work can be a reference to researchers and graduate students doing investigations in information theory, maximum entropy methods in physics, engineering, and statistics, and to all those with a ...

  • A First Course in Information Theory
    A First Course in Information Theory
    By Raymond W. Yeung

    Langdon, G.G., 396 Lapidoth, A., xv lATEX, xvi lattice theory, 124 Lauritzen, S.L., 396 laws of information theory, xiii, 264,321, 325 leaf, 46.46–57 Lebesgue measure, 278, 305 Lee, J.Y.-B., xvi Lee, T.T., 147, 401 Leibler, R.A., 39, ...

  • Information Theory: A Tutorial Introduction
    Information Theory: A Tutorial Introduction
    By JV Stone

    Written in an informal style, with a comprehensive glossary and tutorial appendices, this text is an ideal primer for novices who wish to learn the essential principles and applications of information theory.