
On Intelligence
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Narrado por:
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Jeff Hawkins
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Stefan Rudnicki
Hawkins develops a powerful theory of how the human brain works, explaining why computers are not intelligent and how, based on this new theory, we can finally build intelligent machines.
The brain is not a computer, but a memory system that stores experiences in a way that reflects the true structure of the world, remembering sequences of events and their nested relationships and making predictions based on those memories. It is this memory-prediction system that forms the basis of intelligence, perception, creativity, and even consciousness.
In an engaging style that will captivate audiences from the merely curious to the professional scientist, Hawkins shows how a clear understanding of how the brain works will make it possible for us to build intelligent machines, in silicon, that will exceed our human ability in surprising ways.
Written with acclaimed science writer Sandra Blakeslee, On Intelligence promises to completely transfigure the possibilities of the technology age. It is a landmark book in its scope and clarity.
Download the accompanying booklet of brain function illustrations, examples, and tests.©2004 Jeff Hawkins and Sandra Blakeslee (P)2005 Audible, Inc.Los oyentes también disfrutaron:




















Reseñas editoriales
After a solid intro from Hawkins, Stefan Rudnicki takes over the narrating reins. The effect is an audio program with a compelling ability to anticipate the question taking form in your own brain as you listen, then answer it with clarity and sincerity. That's a feat worthy of admiration.
Reseñas de la Crítica
"[Hawkins's] argument is complex but comprehensible, and his curiosity will intrigue anyone interested in the lessons neurobiology may hold for AI." (Booklist)
"[Hawkins] fully anticipates, even welcomes, the controversy he may provoke within the scientific community and admits that he might be wrong, even as he offers a checklist of potential discoveries that could prove him right. His engaging speculations are sure to win fans." (Publishers Weekly)
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Highly recommended
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Must Read
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What really rattled me was the narrator’s pronunciation of two words. Kludge is not supposed to rhyme with fudge (closer to stooge.) The first syllable of synapse is pronounced sin, not sine.
Even with that, it was a fascinating book. Another of the books I may buy again as text to give more attention to the details.
Almost gave up over two words
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Any additional comments?
Most of the talk around AI is just that; TALK. Marketing, buzz-words, theories.In industry, people are focused on their image and on getting immediate profits.
In academia, people are focused on getting funding and on getting their research published.
Most of the media eats this stuff up. You often hear thiings like, "AI is already here, it's in your phone, it's in your browser, etc."
Very rare is it to see anyone approach the REAL question of what is intelligence? How can we understand it's principles and how can we apply those principles in software?
This audiobook introduced me to Numenta. I listened to it a few years ago and even now I'm as excited about it as I was then.
Unraveling the secrets of the neocortex is not something that's going to be done in a few months by some big tech giant, certainly not by the narrow minded AI "experts" in academia and not by the military.
I believe that if anyone is going to solve intelligence before 2100, it's going to be Numenta (the company started by Jeff Hawkins that's working on this problem right now).
It may be an old book but it's still an excellent introduction. This is not about some new trendy technology, it's about building the next era of machine intelligence.
Some of the reviews mention how the book is disorganized. The author explicitly mentions that some parts will go into a lot of technical details. On my first listen I skipped those parts and had no issues. The narrator also has a really deep voice and somehow people find that condescending.
This book is not about AI as you know it today. It's about building a real general learning system like the one we have. It's also not just talk or theories or marketing, the person who wrote this has been working on it for over 10 years now.
Out of all the books I've gone through on audible, very few have had a lasting impact on me like this one had.
More people need to know about this book
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Great for anyone interested in how we think
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Would you recommend this book to a friend? Why or why not?
The book is a fascinating study of how our brains work, but offers no useful information on how to learn better, change habits or take any action to improve yourself. Basically, he teaches you how a gun works, but never gives you the ammunition to fire it. I found it makes for good anecdotal conversation with friends, but always leaves you asking, "how, if i know all this, can I think 'better' or more 'effectively'?" Unfortunately, there is no answer to that provided... perhaps the sequel?Only for study, not application
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Fascinating
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Fascinating but not an easy read
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Any additional comments?
This is one of the best books I’ve listened to on understanding the brain and how it functions. Strongest recommendation for the story content! It seems like a topic that might be too broad but I assure you it is handled perfectly. The section of the book dealing with artificial intelligence alone is worth the credit.Changing your perspective on brain-power
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There's simplicity in the multi-layered model he describes; it's an elegant solution to complex problems of thought, perception, consciousness, imagination, bias, creativity, and even behavior/action ... all hinging on the role of the cortex, thalumus and hypocampus in memory and prediction. It's so powerful, if it's true, that Origin of the Species came to mind.
The analogies are very useful for laypersons like me although chapter 6 -- a pretty important chapter -- lost me with the details. Unintelligible after 3-3 close listens; I bought the book and the charts didn't help. This was not because it was too complicated, it was but poorly written. Levels within layers and hierarchies that go all directions -- is it me? I literally didn't know which way was up.
I'm less interested in the transfer to computer intelligence but the commentary about similarities and dissimilarities with silicon was interesting (particularly given the 15 years that have passed and the progress made). I highly recommend, yes, even now, but as he himself says early on, you might just want to skip a large chunk of chapter 6.
.. I really must add, the narrator is a cut above. He knows what he's reading.
Best explanation of the brain
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