The Emperor's New Mind
Concerning Computers, Minds, and the Laws of Physics
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Narrated by:
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Julian Elfer
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By:
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Roger Penrose
About this listen
For decades, proponents of artificial intelligence have argued that computers will soon be doing everything that a human mind can do. Admittedly, computers now play chess at the grandmaster level, but do they understand the game as we do? Can a computer eventually do everything a human mind can do?
In this absorbing and frequently contentious book, Roger Penrose puts forward his view that there are some facets of human thinking that can never be emulated by a machine. The book's central concern is what philosophers call the "mind-body problem". Penrose examines what physics and mathematics can tell us about how the mind works, what they can't, and what we need to know to understand the physical processes of consciousness. He is among a growing number of physicists who think Einstein wasn't being stubborn when he said his "little finger" told him that quantum mechanics is incomplete, and he concludes that laws even deeper than quantum mechanics are essential for the operation of a mind. To support this contention, Penrose takes the listener on a dazzling tour that covers such topics as complex numbers, Turing machines, complexity theory, quantum mechanics, formal systems, Godel undecidability, phase spaces, Hilbert spaces, black holes, white holes, Hawking radiation, entropy, quasicrystals, and the structure of the brain.
©1989 Oxford University Press; Preface copyright 1999, 2016 by Roger Penrose (P)2019 TantorInformed and concise
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zero zero zero zero zero one one
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Book That I Have Barley Understood
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So the whole exercise of listening to this book, if I am to compare (and I really feel I should!), feels like listening to one of those 100-hour repeat videos on YouTube, this time of Bender from Futurama reading his serial number.
Bender from Futurama on 100-hour repeat
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Hovever, abort 20 percent of the book could have been omitted. VERY few People Are alle to comprehend spoken equations.
Way too many equations
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