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 found that the book introduces an interesting framework for intelligence and how our brain processes information. There are many concepts and novel approaches to understand this processing power and how it can work at the required speeds to perceive the ever changing environment.
What I found a bit disturbing was the certainty that in many cases the author embed in his statements, in a field that there is much to be confirmed and asserted, this level of certainty is risky to say the least.
The book would have benefited very much by being shorter, maybe half of the book. At times it becomes boring because it tends to repeat many times the same concepts and ideas.
An alternative would have been to divide the book in two, one a general overview of the ideas with examples and then a more formal book where the author provides the conciseness and support needed to more formally support the framework.
Overall the concepts do provide a very interesting framework.
Read it. Think about it. Read it again. Although there will be parts of this book that we layman will find hard to grasp, they aren't essentially to appreciating Hawkins' theories. Really quite a striking and potentially important explanation of the structure of intelligence.
A terrific book. Quite engrossing. Only a few parts were tough to listen to. Definitely download and refer to the figures during the "technical" portion of the book. The book outlined great ideas, but didn't really dive down into the details of implementation. Nonetheless it is a great introduction to a new integrated computation framework.
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.
I was a student in both psychology and computer science in AI's heyday of the early to mid 80's. This book is an encapsulation of the "pieces" from the various fields and theories from the world of cognitive science and reminded me of a lot of things that I had forgotten that had originally inspired me.
Jeff Hawkings introduces a clear and unified way of thinking about how our minds work. The material is presented such that anyone can understand. It is also so clearly presented, that it conjures a lot of ?why didn?t I see this??.
Not only is this full of examples and explanations (including downloadable figures), but it has enough rigor to the theory to present ways to test these theories. I liked his approach to this topic, explaining why previous ventures in AI didn?t work like they were hyped.
As someone who worked on expert systems, I?m ready to go back to the drawing board and try to apply this theory.
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.
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