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.
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.
©2004 Jeff Hawkins and Sandra Blakeslee; (P)2005 Audible, Inc.
"[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)
I have spent much of my life trying to understand brains and consciousness.
The subject has facinated me... and driven my personal and professional
work - which is releated to building a computer framework capable
of efficently processing distributed invariant patterns, like those described
in Jeff's book, "On Intelligence."
Jeff Hawkins has given humanity a remarkable gift, in my opinion.
For the first time a realistic brain-theory is available to us.
His discussion and descriptions "ring true" to my way of thinking.
The ideas presented are easy to understand by anyone.
He has solved the problem of understanding exactly how the brain works.
I really liked the reader of this book as well (Stephan Rudniki).
As he was the same professional voice for the "Ender's Game" books..
which I also really enjoyed. It was nice to be able to hear this
book in a voice I already appreciated. He made the book all the more
enjoyable. Now I've listened to this twice and purchased a hard-cover version.
If you see this, Thank you Jeff!
I will contact you soon. I believe you may be interested in the
pattern-processing environment I have developed over the past decade.
Jeff Hawkings introduces a fresh and brilliant way of thinking about our own minds that anyone can understand. Full of examples and clear explinations he walks thru step by step every aspect of his thoughts and theories about intelligence and why we do the things we do. I especialy like that he takes an engineers aproach to this topic, explaining why previouse attempts at AI did not work and will continue not to work and how we can change our way of doing making machines so that we may one day be able to build intelligent machines.
The first 6 chapters are interesting enough but the last few spend their time reinforcing existing paradigms of computer intelligence.
Look, Jeff. To create a brain, it will take a brain -- not a bunch of sensors who happen to excel at the mysterious "algorithm" you are so sold on. There is more to intelligence than simple data access through highly stylized pathways. That theory merely posits a better AI.
To imitate life, a machine would have to conjur a picture out of memory on its own for no particular reason but to ponder.
Membre since March 2008.
He should have taken a lesson from Bill Bryson's book a short history of nearly everything.
I stopped a little over halfway.
Interesting subject and good presentation. I gained a whole new understanding of our mind and the quest for AI.
It has been the topic of many interesting conversations since I read this book.
It is well read.
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