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Understanding information = from the...

Schuster, Alfons Josef.

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Understanding information = from the big bang to big data /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Understanding information/ edited by Alfons Josef Schuster.
其他題名:	from the big bang to big data /
其他作者:	Schuster, Alfons Josef.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	xviii, 237 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Information theory. -
電子資源:	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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