BFRS SAYS> Jeff Hawkins or Itamar would argue that the ability to deal with 
episodic memories effectively will just emerge from their hierarchies, if their 
systems are given enough perceptual experience. It’s hard to definitively prove 
this is wrong, because these models are all complex dynamical systems and we 
don’t know how to predict their behavior exactly. 

 

SERGIO REPLIES> This may be a long shot because I come from a different 
approach and I am not directly interested in how the brain works or in episodic 
memories, but from my view I would agree that the ability to deal with them 
should emerge from their hierarchies. Also, I noticed that Jeff Hawkins in On 
Intelligence writes about "invariant representations," which are hierarchies, 
but never explains how they come into existence. I am just a little confused.

 

 

Sergio

 

 

From: bfrs [mailto:[email protected]] 
Sent: Thursday, July 19, 2012 10:30 PM
To: AGI
Cc: [email protected]; [email protected]
Subject: [agi] Re: How the Brain Works -- new H+ magazine article, by me

 

Your CogBot proposal hinted at this, but this is news for me:

... my own interest in DeSTIN, is largely because I can connect it to the 
OpenCog AGI architecture I’m working on — and in my own view, OpenCog takes 
care of a lot of other aspects of intelligence, that DeSTIN in its current form 
doesn’t touch.

Itamar, on the other hand, thinks he can basically take DeSTIN, implement it on 
a lot of machines, tweak the algorithms a little, connect it to a robot, and 
get advanced general intelligence. He has plans for an action hierarchy similar 
to the perception hierarchy, and then a reward hierarchy that gets a stimulus 
when the system has done something good or bad and passes this along to the 
action hierarchy, which then passes it along to the perception hierarchy. I 
agree that adding some stuff onto DeSTIN would be necessary to make it do 
anything like human-level intelligence. But I think you’d need to do a lot more 
than just add action and reinforcement hierarchies. I think the human brain is 
just a lot more complex than that, and any AGI system that’s vaguely like the 
human brain is going to have to be a lot more complex than that. There will 
have to be many different architectures corresponding to many different brain 
regions, each one carrying out its own functions and all connecting together 
appropriately.

To take just one example almost at random, the human brain is known to deal 
with episodic memory — memory of your life-story and the events in it — quite 
differently from memory of images or facts or actions. But nothing in 
architectures like HTM or DeSTIN tells you anything about how episodic memory 
works. Jeff Hawkins or Itamar would argue that the ability to deal with 
episodic memories effectively will just emerge from their hierarchies, if their 
systems are given enough perceptual experience. It’s hard to definitively prove 
this is wrong, because these models are all complex dynamical systems and we 
don’t know how to predict their behavior exactly. But yet, it really seems the 
brain doesn’t work this way — episodic memory has its own architecture, 
different in specifics from the architecture of visual or auditory perception. 
I suspect that if one wanted to build a closely brain-like AGI system, one 
would need to design fairly specialized circuits for episodic memory, plus 
dozens to hundreds of other specialized subsystems.

 


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