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Information theory = an exploration across disciplines /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Information theory/ by Arieh Ben-Naim, Claude Dufour.
其他題名:	an exploration across disciplines /
作者:	Ben-Naim, Arieh.
其他作者:	Dufour, Claude.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xv, 248 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Information theory. -
電子資源:	https://doi.org/10.1007/978-3-031-67747-2
ISBN:	9783031677472

Information theory = an exploration across disciplines /
Ben-Naim, Arieh.

Information theoryan exploration across disciplines /[electronic resource] :by Arieh Ben-Naim, Claude Dufour. - Cham :Springer Nature Switzerland :2024. - xv, 248 p. :ill. (some col.), digital ;24 cm.

Introduction -- Information Theory and the Living System -- Applications of Information Theory to Psychology -- Entropy in art -- Consistent Definition of Correlations and Multivariate Mutual Information -- An intuitive consideration of irreversible phenomena -- Use of mutual information in linguistics, cryptography, and steganography -- Communication system.

This monograph explores the interdisciplinary applications of information theory, focusing on the concepts of entropy, mutual information, and their implications in various fields. It explains the fundamental differences between entropy and Shannon's Measure of Information (SMI), presents the application of information theory to living systems and psychology, and also discusses the role of entropy in art. It critically overviews the definition of correlations and multivariate mutual information.These notions are used to build a new perspective for understanding the irreversibility of processes in macroscopic systems, while the dynamical laws governing the microscopic components are reversible. It also delves into the use of mutual information in linguistics, cryptography, steganography, and communication systems. The book details the theoretical and practical aspects of information theory across a spectrum of disciplines and is a useful tool for any scientist interested in what is usually called entropy.

ISBN: 9783031677472

Standard No.: 10.1007/978-3-031-67747-2doiSubjects--Topical Terms:

595305
Information theory.

LC Class. No.: Q360

Dewey Class. No.: 003.54

Information theory = an exploration across disciplines /
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