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Gödel, Escher, Bach: An Eternal Golden Braid: lt;table class="infobox vcard" cellspacing="3" style="border-spacing:3px;widthem;"|>||Gödel, E. Twenty years after it topped the bestseller charts, Douglas R. Hofstadter's Gödel, Escher, Bach: An Eternal Golden Braid is still something of a. I have been searching everywhere for an ebook or pdf of godel escher bach. I have found two different pdf versions and both have many typos.
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By exploring common themes in the lives and works of logician Kurt Gödel, artist M. C. Escher and composer Johann Sebastian Bach, GEB. Gödel, Escher, Bach: an eternal golden braid by Douglas R. Hofstadter; 12 editions; First DAISY for print-disabled Download ebook for print-disabled ( DAISY). Douglas R Hofstadter. Winner of the Pulitzer Prize, this book applies Godel's seminal contribution to modern mathematics to the study of the human mind and the development of artificial intelligence. Johann Sebastian Bach; M C Escher; Kurt Gödel; Johann Sebastian Bach; M C Escher.
Your email address will not be published. Skip to content Search for: However, according to Hofstadter, the formal system that underlies all mental activity transcends the system that supports it. If life can grow out of the formal chemical substrate of the cell, if consciousness can emerge out of a formal system of firing neurons, then so too will computers attain human intelligence. Twenty years after it topped the bestseller charts, Douglas R. It also looks at the prospects for computers and artificial intelligence AI for mimicking human thought. For the general reader and the computer techie alike, this book still sets a standard for thinking about the future of computers and their relation to the way we think.
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Write a review Rate this item: Preview this item Preview this item. Douglas R Hofstadter Publisher: New York: English View all editions and formats Summary: Winner of the Pulitzer Prize, this book applies Godel's seminal contribution to modern mathematics to the study of the human mind and the development of artificial intelligence.
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Hofstadter " ;. InformationResource , genont: Home About Help Search. Yes, If you open up the "20th Anniversary Edition" of GEB, you'll see that the first thing Douglas Hofstadter does in the introduction - the very first thing - is grouse that nobody seems to understand what his book is about. Yes, quite a wonderful something indeed. Or put less delicately, how are you supposed to know whether reading all dense, sprawling pages is worth your while?
The short answer is: "Read this book if you like to think about thinking, as well as to think about thinking about thinking. Oh well, I'll take a crack at it anyway. At its heart, this book is about whether you can start with simple parts and from them, build a system which is so complicated that it becomes more than the sum of its parts in a significant sort of way.
For example, scientists have a very clear understanding of how a single neuron functions. They even have a fairly good understanding of how neurons operate in groups to take on specific tasks, like wiggling your pinkie finger.
But there are around a hundred billion neurons in a human brain and the structure quickly becomes preposterously complicated - groups of groups of groups of neurons, all acting in interconnected ways to produce conscious thought. How do we get something as complex as human consciousness out of something as simple and well-understood as a neuron? The answer Hofstadter likes is that the brain operates on many different interacting levels, and that conscious thought is a product of the complex interaction between all these levels.
So in order to understand something you're reading, you depend on individual neurons operating in basically deterministic ways to move signals around your brain, but you also depend on groups of neurons in your vision centers to recognize text, as well as other groups of neurons on other levels to understand that text, and other groups of neurons on other levels to fit that new understanding into the context of the previous sentence, and so on.
All of this applies equally well to artificial intelligence , which is Hofstadter's field.
It's just that an electronic brain would be built from transistors and subroutines instead of brain tissue. The title is a little misleading - this book is not at all about how when you get right down to it, Kurt Godel, M. Escher, and J. Bach are totally interrelated, man.
Their work is just useful in getting deeper down into that idea of interacting layers that produce complexity. For example, Kurt Godel was a mathematician who proved that in any self-consistent formulation of number theory, you could generate theorems that, while "true", were not provable in within that formulation. Basically, he showed that any formal mathematical system is necessarily incomplete in specific ways. Here's the part where things start to get craaaaazy: If you build a "well-formed" number theory labeled X, then X can be used to generate a proof of X's self-consistency only if X is inconsistent.
The reverse is also true.
And all this relates back to how a system can be more than the sum of its parts. These are definitely interesting ideas and very worth reading about, but whether GEB is worth reading is a harder question.
It's a very well-written, well-researched book. I love that the author goes way, way, way out of his way to spend time explaining difficult ideas, rather than to assume a dull or disinterested readership.