Description: Understanding Information : From the Big Bang to Big Data, Hardcover by Schuster, Alfons Josef (EDT), ISBN 3319590898, ISBN-13 9783319590899, Brand New, Free P&P in the UK
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.
Price: 161.19 GBP
Location: Castle Donington
End Time: 2024-12-04T02:07:31.000Z
Shipping Cost: 19.79 GBP
Product Images
Item Specifics
Return postage will be paid by: Buyer
Returns Accepted: Returns Accepted
After receiving the item, your buyer should cancel the purchase within: 30 days
Book Title: Understanding Information : From the Big Bang to Big Data
Number of Pages: 237 Pages
Language: English
Publication Name: Understanding Information: from the Big Bang to Big Data
Publisher: Springer International Publishing A&G
Publication Year: 2017
Subject: Social Sciences, Computer Science
Item Height: 235 mm
Item Weight: 5089 g
Type: Textbook
Author: Alfons Josef Schuster
Subject Area: Information Science
Series: Advanced Information and Knowledge Processing
Item Width: 155 mm
Format: Hardcover