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Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences
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An AGI Brain for a Robot (Paperback)
Loot Price: R1,031
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An AGI Brain for a Robot (Paperback)
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An AGI Brain for a Robot is the first and only book to give a
detailed account and practical demonstration of an Artificial
General Intelligence (AGI). The brain is to be implemented in fast
parallel hardware and embodied in the head of a robot moving in the
real world. Associative learning is shown to be a powerful
technique for novelty seeking, language learning, and planning.
This book is for neuroscientists, robot designers, psychologists,
philosophers and anyone curious about the evolution of the human
brain and its specialized functions. The overarching message of
this book is that an AGI, as the brain of a robot, is within our
grasp and would work like our own brains. The featured brain,
called PP, is not a computer program. Instead, PP is a collection
of networks of associations built from J. A. Fodor's modules and
the author's groups. The associations are acquired by intimate
interaction between PP in its robot body and the real world.
Simulations of PP in one of two robots in a simple world
demonstrate PP learning from the second robot, which is under human
control. "Both Professor Daniel C. Dennett and Professor Michael A.
Arbib independently likened the book 'An AGI Brain for a Robot' to
Valentino Braitenberg's 1984 book 'Vehicles: Experiments in
Synthetic Psychology'." Daniel C. Dennett, Professor of Philosophy
and Director of Center for Cognitive Studies, Tufts University.
Author of "From Bacteria to Bach and Back: The Evolution of Minds."
"Michael Arbib, a long time expert in brain modeling, observed that
sometimes a small book can catch the interest of readers where a
large book can overwhelm and turn them away. He noted, in
particular, the success of Valentino Braitenberg's 'Vehicles' (for
which he wrote the foreword). At a time of explosive interest in
AI, he suggests that PP and its antics may be just the right way to
ease a larger audience into thinking about the technicalities of
creating general artificial intelligence." Michael A Arbib,
Professor Emeritus of Computer Science, Biomedical Engineering,
Biological Sciences and Psychology, University of Southern
California. Author of "How the Brain Got Language". "Robots seem to
increasingly invade our lives, to the point that sometimes seems
threatening and other-worldly. In this small book, John Andreae
shows some of the basic principles of robotics in ways that are
entertaining and easily understood, and touch on some of the basic
questions of how the mind works." Michael C. Corballis, Professor
of Psychology, University of Auckland. Author of "The Recursive
Mind". "A little book that punches far beyond its weight." Nicholas
Humphrey, Emeritus Professor of Psychology, London School of
Economics. Author of "Soul Dust: The Magic of Consciousness". "A
bold and rich approach to one of the major challenges for
neuroscience, robotics and philosophy. Who will take up Andreae's
challenge and implement his model?" Matthew Cobb, Professor of
Zoology, University of Manchester. Author of "The Idea of the
Brain". "Here is a book that could change the direction of research
into artificial general intelligence in a very productive and
profitable way. It describes a radical new theory of the brain that
goes some way towards answering many difficult questions concerning
learning, planning, language, and even consciousness. Almost
incredibly, the theory is operational, and expressed in a form that
could-and should-inspire future, novel, research in AI that
transcends existing paradigms." Ian H. Witten, Professor of
Computer Science, Waikato University. Author with Eibe Frank of
"Data Mining: Practical Machine Learning Tools and Techniques".
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