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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