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Understanding information = from the...

Schuster, Alfons Josef.

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Understanding information = from the big bang to big data /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Understanding information/ edited by Alfons Josef Schuster.
Reminder of title:	from the big bang to big data /
other author:	Schuster, Alfons Josef.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	xviii, 237 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Information theory. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-59090-5
ISBN:	9783319590905

Understanding information = from the big bang to big data /
Understanding informationfrom the big bang to big data /[electronic resource] :edited by Alfons Josef Schuster. - Cham :Springer International Publishing :2017. - xviii, 237 p. :ill., digital ;24 cm. - Advanced information and knowledge processing,1610-3947. - Advanced information and knowledge processing..

The motivation of this edited book is to generate an understanding about information, related concepts and the roles they play in the modern, technology permeated world. In order to achieve our goal, we observe how information is understood in domains, such as cosmology, physics, biology, neuroscience, computer science, artificial intelligence, the Internet, big data, information society, or philosophy. Together, these observations form an integrated view so that readers can better understand this exciting building-block of modern-day society. On the surface, information is a relatively straightforward and intuitive concept. Underneath, however, information is a relatively versatile and mysterious entity. For instance, the way a physicist looks at information is not necessarily the same way as that of a biologist, a neuroscientist, a computer scientist, or a philosopher. Actually, when it comes to information, it is common that each field has its domain specific views, motivations, interpretations, definitions, methods, technologies, and challenges. With contributions by authors from a wide range of backgrounds, Understanding Information: From the Big Bang to Big Data will appeal to readers interested in the impact of 'information' on modern- day life from a variety of perspectives.

ISBN: 9783319590905

Standard No.: 10.1007/978-3-319-59090-5doiSubjects--Topical Terms:

542527
Information theory.

LC Class. No.: Q360 / .U53 2017

Dewey Class. No.: 003.54

Understanding information = from the big bang to big data /
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245 0 0 $a Understanding information $h [electronic resource] : $b from the big bang to big data / $c edited by Alfons Josef Schuster.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xviii, 237 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advanced information and knowledge processing, $x 1610-3947
520 $a The motivation of this edited book is to generate an understanding about information, related concepts and the roles they play in the modern, technology permeated world. In order to achieve our goal, we observe how information is understood in domains, such as cosmology, physics, biology, neuroscience, computer science, artificial intelligence, the Internet, big data, information society, or philosophy. Together, these observations form an integrated view so that readers can better understand this exciting building-block of modern-day society. On the surface, information is a relatively straightforward and intuitive concept. Underneath, however, information is a relatively versatile and mysterious entity. For instance, the way a physicist looks at information is not necessarily the same way as that of a biologist, a neuroscientist, a computer scientist, or a philosopher. Actually, when it comes to information, it is common that each field has its domain specific views, motivations, interpretations, definitions, methods, technologies, and challenges. With contributions by authors from a wide range of backgrounds, Understanding Information: From the Big Bang to Big Data will appeal to readers interested in the impact of 'information' on modern- day life from a variety of perspectives.
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650 1 4 $a Computer Science. $3 626642
650 2 4 $a Information Systems Applications (incl. Internet) $3 1565452
650 2 4 $a Computers and Society. $3 891253
650 2 4 $a Coding and Information Theory. $3 891252
700 1 $a Schuster, Alfons Josef. $3 3250359
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