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Sách Living Computers Replicators, Information Processing, and the Evolution of Life

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Sách Living Computers Replicators, Information Processing, and the Evolution of Life

Sách keo gáy, bìa mềm
 
This accessible and entertaining book explores the
fundamental connections between life and information and how they
emerged inextricably linked, taking the reader on a journey through all
the major evolutionary transitions. It records the entire path of how
life's information has evolved, starting from the growing polymers of
prelife leading to the first replicators, through RNA and DNA to neural
networks and animal brains, continuing through the major transition of
human language and writing, into computer clouds, and finally heading
towards an unknown future. All currently known life is based on three
classes of molecules: proteins - life's main structural and functional
building blocks; DNA - life's information molecule; and RNA - a molecule
that provides the link between these two. Despite the existence of
language and the new means of information recording and processing it
enabled, at the current stage of life's evolution, the information
stored in the natural repository of our planet's DNA archive remains
indispensable. If the DNA on Earth were to become seriously corrupted,
all cultural information and life itself would soon disappear. However,
does future life have to be reliant on these molecules or could a living
organism be made of e.g. steel, rubber, copper, and silicon? What was
life like when it first emerged on Earth billions of years ago? What
will life be like millions or billions of years from now, if it still
exists? Could future civilisations, including the possible heirs of the
present one, persist without proteins, DNA, and RNA? The author arms the
reader with the knowledge required to speculate about such questions in
an informed and reasoned way. Living Computers is aimed at students and
scholars in a wide range of disciplines, from physics, computing, and
biology to social sciences and philosophy. The fascinating idea of life
as a computational phenomenon will also appeal to a more general
readership interested in our origins and future existence.
 
 
Categories:Biology and other natural sciences - Genetics
 
Content Type:Books
 
Year:2024
 
Language:english
 
Pages:320