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RELEASE iNFORMATiON
TiTLE : The Allure of Machinic Life: Cybernetics, Artificial
Life, and the New AI (Bradford Books)
AUTHOR : John Johnston
PUBLISHER : The MIT Press
iSBN : 0262101262 MAKER : Team DDU
PAGES : 494 Pages PACKAGER : Team DDU
EDiTiON : September 30, 2008 SUPPLiER : Team DDU
LANGUAGE : ENGLISH FORMAT : PDF
RLS DATE : 11/11/08 SiZE : 4.40 MB
RELEASE NOTES
[Product Information]
In The Allure of Machinic Life, John Johnston examines new forms of
nascent life that emerge through technical interactions within
human-constructed environments--"machinic life"--in the
sciences of cybernetics, artificial life, and artificial
intelligence. With the development of such research initiatives as
the evolution of digital organisms, computer immune systems,
artificial protocells, evolutionary robotics, and swarm systems,
Johnston argues, machinic life has achieved a complexity and
autonomy worthy of study in its own right. Drawing on the
publications of scientists as well as a range of work in
contemporary philosophy and cultural theory, but always with the
primary focus on the "objects at hand"--the machines,
programs, and processes that constitute machinic life--Johnston
shows how they come about, how they operate, and how they are
already changing. This understanding is a necessary first step, he
further argues, that must precede speculation about the meaning and
cultural implications of these new forms of life. Developing the
concept of the "computational assemblage" (a machine and
its associated discourse) as a framework to identify both
resemblances and differences in form and function, Johnston offers
a conceptual history of each of the three sciences. He considers
the new theory of machines proposed by cybernetics from several
perspectives, including Lacanian psychoanalysis and "machinic
philosophy." He examines the history of the new science of
artificial life and its relation to theories of evolution,
emergence, and complex adaptive systems (as illustrated by a series
of experiments carried out on various software platforms). He
describes the history of artificial intelligence as a series of
unfolding conceptual conflicts--decodings and recodings--leading to
a "new AI" that is strongly influenced by artificial
life. Finally, in examining the role played by neuroscience in
several contemporary research initiatives, he shows how further
success in the building of intelligent machines will most likely
result from progress in our understanding of how the human brain
actually works.
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