情報理論１ Theory of Information: Fundamentality, Diversity and Unification (World Scientific Series in Information Studies)

情報理論１<br>Theory of Information: Fundamentality, Diversity and Unification (World Scientific Series in Information Studies)

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情報理論１
Theory of Information: Fundamentality, Diversity and Unification (World Scientific Series in Information Studies)

Burgin, Mark

ウェブストア価格 ¥52,237（本体¥47,489）
World Scientific Publishing Co Pte Ltd（2009/12発売）
外貨定価 US$ 249.00
ポイント 474pt

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製本 Hardcover:ハードカバー版／ページ数 688 p.
言語 ENG
商品コード 9789812835482
DDC分類 020

基本説明

Presents a new approach - the general theory of information - to scientific understanding of information phenomena.

Full Description

This unique volume presents a new approach — the general theory of information — 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 Do We Know What Information Is? Information in Society, Information in Nature, Technological Aspects of Information; General Theory of Information: Information Ontology, Information Axiology, Information Typology; Information, Data, and Knowledge; Emotions and Information; Statistical Information Theory: Information and Entropy, Information and Communication in Technical Systems, Quantum Information, Information and Problem Solving, Axiomatization of Information Measurement, Information in Physics; Semantic Information Theory: The Three Dimensions of Information, Logic in Information, Knowledge from Information; Algorithmic Information Theory: Information and Complexity, Recursive Algorithmic Information Theory, Inductive Algorithmic Information Theory, Relative Information Measures, Axiomatic Information Measures; Pragmatic Information Theory: Economic Approach, Mission-Oriented Approach and Value of Information, Transformational Approach, Dynamics of Information: Information Flow, Operator Approach, Information Algebra.