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Old 11-19-2004, 07:05 PM   #1
Francesco
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Posts: 391
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Join Date: Jul 2003
Location: Denver, CO, USA
Device: Nexus 7, Kindle Touch
Thumbs up On intelligence, by Jeff Hawkins

In a recent thread I got into troubles trying to explain what was "The emperor's new mind" about. Well, it seems it wasn't enough for me, as I try now to review "On intelligence", by Jeff Hawkins.
Ballistic pointed out this book to me. Before reading his post (in that same thread) I hadn't heard anything about Hawkins. This is the man behind the desing of the PalmPilot, Visor and Treo devices. That information sufficed to interest me in that book. I waited and waited until it was available in electronic format and bought it right away. This is the first eBook I ever buy, and I preferred the electronic format for one thing: IMMEDIATE delivery (beat that, paper books! LOL). This was an impulsive buy. I left the DRM concerns aside, I'll deal with that later. Just like with DVDs: as long as the bits are there, someone will find a way.
In this book, Hawkins explains his approach to the way the brain works. His approach, as he mentions right from the beginning, is built upon several previous theories. The objective is to provide a general frame to relate all the disperse works of people studying the brain from different fields in biology. His plan is to understand the brain from a biological point of view, before attempting to simulate its works artificially.
After the prologue, he moves onto explaining why he believes artificial intelligence is doomed and that no matter how fast and powerful a computer might be built, AI in its current approach will never be close to our intelligence. He call his theory "real intelligence". I admire this man.
The most important idea in this book is the concept of intelligence proposed: intelligence is not only the way the mind processes the data received by the senses, but also the ability to predict what will be perceived. The brain constructs the reality around by perceiving and predicting simultaneously. Perception and prediction are very similar phenomena going in opposite directions.
Prediction is built upon memories, or invariant representations, as he calls them. Invariant representations might be compared to Plato's ideals: abstractions of all the forms in the world (cups, staircases, etc.). Forms, situations, words, sounds, etc.
I have to say he convinced me right from chapter one that intelligence can be built. I said it couldn't be done. I guess I'm too easy.
This prediction theory has had a big influence in me, and now I relate every working of my brain to it. It's really funny.
The book is written very clearly, and you don't need any specific background to understand it. Heck, this is a book by the same guy who invented the PalmPilot! It means it's simple and straighforward.
I drifted away many times from the book, thinking about my own experiencies and hypothesis, and that talks very well about a book, I believe. It made me think a lot.
If you want more info about "On intelligence", you might want to check its site: onintelligence.org,it contains an excerpt, bios, a forum to discuss your opinions, and a form you can fill to contact the authors (the book was coauthored by Sandra Blakeslee).
On "The art of seeing", Aldous Huxley proposes an exercise consisting in looking at letters, at various distances and one at a time, trying to "memorize" the way they look. The result is not an increased chance to guess the letters you see, but an actually improved sight. This fits so well into the prediction model I had to tell the author. I did, and am still waiting a reply. Isn't Internet a sweet thing?
One last word, I was ultimately inspired by the Read/Write Web to post this review, whose author recently posted a link to his site. The concept behind Read/Write Web is that recently, the web finally became what it should be: a communication channel not only to receive information, but to publish it as well (from the point of view of the common user, of course). And that's what I just did.

Last edited by Francesco; 11-19-2004 at 07:32 PM.
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