Understanding Information
From the Big Bang to Big Data
Springer International Publishing
ISBN 978-3-319-59090-5
Standardpreis
Bibliografische Daten
eBook. PDF
2017
XVIII, 237 p. 27 illus..
In englischer Sprache
Umfang: 237 S.
Verlag: Springer International Publishing
ISBN: 978-3-319-59090-5
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Advanced Information and Knowledge Processing
Produktbeschreibung
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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