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Reductive Model of the Conscious Mind (Hardcover)
Loot Price: R5,645
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Reductive Model of the Conscious Mind (Hardcover)
Series: InfoSci-Books - Copyright 2021
Expected to ship within 12 - 17 working days
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Research on natural and artificial brains is proceeding at a rapid
pace. However, the understanding of the essence of consciousness
has changed slightly over the millennia, and only the last decade
has brought some progress to the area. Scientific ideas emerged
that the soul could be a product of the material body and that
calculating machines could imitate brain processes. However, the
authors of this book reject the previously common dualism-the view
that the material and spiritual-psychic processes are separate and
require a completely different substance as their foundation.
Reductive Model of the Conscious Mind is a forward-thinking book
wherein the authors identify processes that are the essence of
conscious thinking and place them in the imagined, simplified
structure of cells able to memorize and transmit information in the
form of impulses, which they call neurons. The purpose of the study
is to explain the essence of consciousness to the degree of
development of natural sciences, because only the latter can find a
way to embed the concept of the conscious mind in material brains.
The book is divided into three parts. Part 1 works to convince
readers that the emergence of consciousness does not require
detailed knowledge of the structure and morphology of the brain,
with the exception of some specific properties of the neural
network structure that the authors attempt to point out. Part 2
proves that the biological structure of many natural brains
fulfills the necessary conditions for consciousness and intelligent
thinking. Similarly, Part 3 shows the ways in which artificial
creatures imitating natural brains can meet these conditions, which
gives great hopes for building artificially intelligent beings
endowed with consciousness. Covering topics that include cognitive
architecture, the embodied mind, and machine learning, this book is
ideal for cognitive scientists, philosophers of mind,
neuroscientists, psychologists, researchers, academicians, and
advanced-level students. The book can also help to focus the
research of linguists, neurologists, and biophysicists on the
biophysical basis of postulated information processing into
knowledge structures.
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