GEB HOFSTADTER PDF

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Subscriber Account active since. Written by computer scientist Douglas Hofstadter, the page tome inspired many young aspiring computer scientists and mathematicians. It's very very fundamental, and I felt like this was something that I could devote my professional life to. The GEB, as it's often called, ties together the seemingly disparate fields of mathematics, science, music, and art. Its chapters are punctuated by obtuse conversations between fictional characters and puzzles that Hofstadter invites his readers to attempt.

Having read through a portion of the book, it's easy to see why so many people were inspired by it — the book theorizes that there are hidden meanings and loops within theorems and works of art that are connected. The book's tagline describes it as "a metaphorical fugue on minds and machines in the spirit of Lewis Carroll," a comparison which is pretty clear in the section below. A one of mind-boggling pages from the GEB. According to The Atlantic , he hasn't been to an AI conference in 30 years.

That's because Hofstadter's approach to understanding and recreating intelligence in machines has forked off from the mainstream researchers' brute-force methods of developing artificial intelligence through insane amounts of data analysis and program training. Basic Books "There's no communication between me and these people," Hofstadter told the Atlantic.

I don't want to talk to colleagues that I find very, very intransigent and hard to convince of anything. You know, I call them colleagues, but they're almost not colleagues — we can't speak to each other. Hofstadter has a fundamental disagreement with mainstream research on how AI programs should operate.

The book that launched Hofstadter's career argued for an approach to AI that was more about understanding and emulating human intelligence than solving specific problems. But at the time he wrote the GEB, AI was already taking a different tactic to intelligence, according to the Atlantic, because past approaches proved fruitless. At the time, scientists started turning away from building thinking machines to building applications that can solve specific problems.

Scientists started honing in specific parts of intelligence like vision, language understanding, speech synthesis. That's how it remains today — intelligence is attacked piecemeal, with different researchers specializing on different aspects and methods of intelligence. Deep Blue didn't play chess like a human — it used brute force.

It calculated the best future moves at any point in the game. But Hofstadter told the Atlantic that doesn't give us any insight into how humans play chess. In fact, he began to distance himself from the AI community once the game happened. And I don't know why more people aren't that way.

A statistical method called machine learning is driving improvements in areas where AI had traditionally faltered, like vision and language processing. While it roughly mimics the interconnected structure of brain cells, machine learning takes a sharp departure from how the human brain processes vision and language.

But Hofstadter's disagreements haven't stopped his work. Hofstadter has been a professor at Indiana University at Bloomington for 30 years, chipping away at the work he thinks the rest of the AI community has stopped doing. Whether Hofstadter and mainstream AI research will one day reunite remains to be seen. But in the meantime, Hofstadter will quietly continue.

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Guia Marie Del Prado.

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On translators, traitors, and traders from Translator, Trader. That question has hounded me ever since I was scribbling its first drafts in pen, way back in Friends would inquire, of course, what I was so gripped by, but I was hard pressed to explain it concisely. Many people think the title tells it all: a book about a mathematician, an artist, and a musician. And in bookstores, I have run across GEB gracing the shelves of many diverse sections, including not only math, general science, philosophy, and cognitive science which are all fine , but also religion, the occult, and God knows what else.

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On the subject of human consciousness, there is no better book than Douglas Hofstadter's cult classic. For my generation, the one that grew up in the s, it was an endless source of intellectual stimulation—you could dip into it whenever and wherever you liked, and it was like a drug trip. If you were actually on drugs when you opened the book, it was possibly even better. Hofstadter is an American professor of cognitive science—a discipline that spans many fields, from psychology to neurology to the fine arts to gaming to artificial intelligence. And GEB cuts across all these areas to study human consciousness, in a vastly entertaining and intriguing way, for the layman. There are entire chapters which are mind-bending puzzles in their structure, and most of them have no answers, because our brains are not capable of answering them.

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Subscriber Account active since. Written by computer scientist Douglas Hofstadter, the page tome inspired many young aspiring computer scientists and mathematicians. It's very very fundamental, and I felt like this was something that I could devote my professional life to. The GEB, as it's often called, ties together the seemingly disparate fields of mathematics, science, music, and art. Its chapters are punctuated by obtuse conversations between fictional characters and puzzles that Hofstadter invites his readers to attempt.

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