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.
Rezensionen / Stimmen
"In this text, Schuster (Waseda Univ., Japan) aims to examine the broad topic of information from a wide variety of angles . which could provide graduate students with indications of suitable fields for research. This text deserves a place as a reference in all university collections. Summing Up: Recommended. Upper-division undergraduates through faculty and professionals." (R. Bharath, Choice, Vol. 55 (10), June, 2018)
"This is a very good book! It's a thought piece about a range of ideas that couples information across several disciplines and across large timeframes. . Each chapter has an extensive and good-quality bibliography. A quick citation search of the references suggests that the resources are well cited. This is a well-written book." (Robert M. Lynch, Computing Reviews, April, 2018)
Reihe
Auflage
Softcover reprint of the original 1st ed. 2017
Sprache
Verlagsort
Verlagsgruppe
Springer International Publishing
Zielgruppe
Illustrationen
27
27 s/w Abbildungen
XVIII, 237 p. 27 illus.
Maße
Höhe: 235 mm
Breite: 155 mm
Dicke: 15 mm
Gewicht
ISBN-13
978-3-319-86545-4 (9783319865454)
DOI
10.1007/978-3-319-59090-5
Schweitzer Klassifikation
