On Intelligence: How a New Understanding of the Brain Will Lead to the Creation of Truly Intelligent Machines Reprint Edition

by Jeff Hawkins (Author), Sandra Blakeslee (Author)

262 customer reviews

ISBN-13: 978-0805078534

ISBN-10: 0805078533

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From the inventor of the PalmPilot comes a new and compelling theory of intelligence, brain function, and the future of intelligent machines

Jeff Hawkins, the man who created the PalmPilot, Treo smart phone, and other handheld devices, has reshaped our relationship to computers. Now he stands ready to revolutionize both neuroscience and computing in one stroke, with a new understanding of intelligence itself.

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.

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Editorial Reviews

Review

“On Intelligence will have a big impact; everyone should read it. In the same way that Erwin Schrödinger's 1943 classic What is Life? made how molecules store genetic information then the big problem for biology, On Intelligence lays out the framework for understanding the brain.” ―James D. Watson, president, Cold Spring Harbor Laboratory, and Nobel laureate in Physiology

“Brilliant and embued with startling clarity. On Intelligence is the most important book in neuroscience, psychology, and artificial intelligence in a generation.” ―Malcolm Young, neurobiologist and provost, University of Newcastle

“Read this book. Burn all the others. It is original, inventive, and thoughtful, from one of the world's foremost thinkers. Jeff Hawkins will change the way the world thinks about intelligence and the prospect of intelligent machines.” ―John Doerr, partner, Kleiner Perkins Caufield & Byers

About the Author

Jeff Hawkins is one of the most successful and highly regarded computer architects and entrepreneurs in Silicon Valley. He founded Palm Computing and Handspring, and created the Redwood Neuroscience Institute to promote research on memory and cognition. Also a member of the scientific board of Cold Spring Harbor Laboratories, he lives in northern California.

Sandra Blakeslee has been writing about science and medicine for The New York Times for more than thirty years and is the co-author of Phantoms in the Brain by V. S. Ramachandran and of Judith Wallerstein's bestselling books on psychology and marriage. She lives in Santa Fe, New Mexico.

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Product details

Paperback: 272 pages
Publisher: St. Martin's Griffin; Reprint edition (August 1, 2005)
Language: English
ISBN-10: 0805078533
ISBN-13: 978-0805078534
Product Dimensions: 5.4 x 0.8 x 8.3 inches
Shipping Weight: 8.5 ounces (View shipping rates and policies)
Average Customer Review: 262 customer reviews
Amazon Best Sellers Rank: #53,142 in Books (See Top 100 in Books)
- #11 in Books > Science & Math > Physics > Molecular Physics
- #65 in Books > Computers & Technology > Computer Science > AI & Machine Learning > Intelligence & Semantics
- #259 in Books > Medical Books > Psychology > Cognitive

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Dave Kinnear

An hypothesis that rings true . . .

January 12, 2014

Format: Kindle EditionVerified Purchase

In this very well written book, Hawkins and Blakeslee describe a new model of how our human intelligence has evolved, how it "works" and what it means to have a “massive” cerebral cortex. Much of the description of the brain's neuronal structure will be familiar to those who follow developments in neuroscience. However, what's new here is a working model of how the brain uses extensive feedback loops to complete the complex task of information processing.

The authors assert that, "The brain uses the same process to see as to hear. The cortex does something universal that can be applied to any type of sensory or motor system." And, "The idea that patterns from different senses are equivalent inside your brain is quite surprising, and although well understood, it still isn’t widely appreciated." Further, the way the brain processes information is consistently applied to all that sensory data. This common processing algorithm and sensory input processing helps our brains to adapt to an ever changing environment. That is why we can live and function in this modern world. A world in which change, and our need to adapt, has certainly outstripped evolutionary time scales.

The hypothesis put forward in this book rings true to me based on my understanding of complex systems and from observing the actions of my fellow human beings. This model (new to me but not necessarily new to the neuroscience world) doesn't negate my understanding from other reading how the human brain is "wired." Rather, it explains more fully how the system "hangs together" and accomplishes the incredible feats we witness every day. It also lays the foundation for a better understanding of human consciousness.

Once again the fact that we can understand our material world only in a "second hand" manner is driven home by this model. We work only with a representation of the world, and it is represented by a limited number of sensory inputs. From the standpoint of how we deal with our fellow human beings, this challenging and interesting book makes it clear that we should all be a lot less
certain that what we "know to be true" is actually a true representation of reality.

In the authors' words: "Finally, the idea that patterns are the fundamental currency of intelligence leads to some interesting philosophical questions. When I sit in a room with my friends, how do I know they are there or even if they are real? My brain receives a set of patterns that are consistent with patterns I have experienced in the past. These patterns correspond to people I know, their faces, their voices, how they usually behave, and all kinds of facts about them. I have learned to expect these patterns to occur together in predictable ways. But when you come down to it, it’s all just a model. All our knowledge of the world is a model based on patterns. Are we certain the world is real? It’s fun and odd to think about. Several science-fiction books and movies explore this theme. This is not to say that the people or objects aren’t really there. They are really there. But our certainty of the world’s existence is based on the consistency of patterns and how we interpret them. There is no such thing as direct perception. We don’t have a “people” sensor. Remember, the brain is in a dark quiet box with no knowledge of anything other than the time-flowing patterns on its input fibers. . . Your perception of the world is created from these patterns, nothing else. Existence may be objective, but the spatial-temporal patterns flowing into the axon bundles in our brains are all we have to go on."

What does all this mean to our daily lives? To me it simply means that there are solid reasons to make sure we always question our assumptions, work to find as much objective empirical data as possible and allow for other people to have a different view of the patterns they discern. Our individual perspective is all we have, but it isn't necessarily the only one nor is it necessarily the most accurate representation.

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M.J.

By late 2012, the short term predictions in this book have already happened. Might be worth paying attention to the rest.

September 9, 2012

Format: HardcoverVerified Purchase

This book was a great read, very accessible and might prove to be a very important book one day. It's concise and to the point and if you have any interest whatsoever in AI you simply can not miss this it. It's a quick read that will without a doubt have a significant impact on how you view the future of artificial intelligence.

As a testament to it's relevancy today (I'm writing this Sept 2012, seven years after the book was published) he predicts three technological applications that may become available in the short term (5-10 years) due to breakthroughs in the kind of trainable AI this book discusses:

Computer vision and teaching a computer to tell the difference between a cat and a dog (this was successfully demonstrated in a study published in June 2012 - the paper is called "Building High-level Features Using Large Scale Unsupervised Learning" and is available online, or just search for "computer learns to recognize cats" for articles)

PDAs (as they were called back then) will understand naturally spoken instructions like "Move my daughter's basketball game on Sunday to 10 in the morning" (this kind of sentence, copied from the book verbatim, is exactly where Apple's AI application SIRI shines)

Smart/autonomous cars - in Aug 2012, Google announced that their self driving cars have logged 300 K accident free miles in live traffic on public roads, exceeding the average distance a human drives without accident.

The thing to note here is that when he wrote the book these three things had hurdles that we did not know how to solve, and at the time there was no clear linear progression of existing solutions that would guarantee they would be solved. His prediction is that we'll be able to train computers to recognize patterns by themselves which will allow us to eventually solve the problems (and this is exactly how the computer learned to recognize cat faces from youtube videos)

Furthermore, he predicts that AI will become one of the hottest fields within the next 10 years - and with the current explosion of interest in Big Data, Machine Learning, and applications like SIRI it is hard to deny that it lookslike we're right in the midst of seeing just this happen.

The grander implications of the model of this book won't be known for another 10-20 years or more, but 7 years in his general predictions about the field of AI have been very accurate.

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Most recent customer reviews

RiverGuy

Important and more timely than ever...

Still the best text on how we will get to human-equivalent artificial intelligence.

Published 2 months ago

Johan V Silen

Interesting reasoning

Well written personal story opening up a hard topic. Engineering background makes the approach particularly interesting. A new view on the mind.

Published 2 months ago

Koo Ping Shung

Fantastic book!

I do a lot of self-study (self-funded) on artificial intelligence especially when it overlaps to a good extent with data science(but they are not equivalent).Read more

Published 5 months ago

Rand A. Beveridge

Five Stars

Great book!

Published 5 months ago

Henry W Field

Five Stars

Excellent

Published 7 months ago

Amir f.

Four Stars

Good book.

Published 9 months ago

Richard Salinas

This was my first exposure to artificial neural networks and ...

This was my first exposure to artificial neural networks and how neural networks work. I read this as a hardback a few years ago... it's dated, but full of relevant nuggets.Read more

Published 11 months ago

Curious Red Monkey

An excellent book. However

An excellent book. However, I found the chapter on columns to be muddy and weak. Other than this, the book was clear and thought provoking.

Published 11 months ago

Cyra

Four Stars

Good survey of bio portions of intelligence. Whether you agree with the hypothesis, it makes you think

Published 11 months ago

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