A friend of mine is working on that project.
It is very interesting, and a good direction
For perception.

~PM

Date: Tue, 30 Oct 2012 09:30:55 -0500
Subject: [agi] Simulation for Perception, Symbols for Understanding
From: [email protected]
To: [email protected]

http://www.rec.ri.cmu.edu/about/news/11_01_minds.php
 



Recognizing and predicting human activity in video footage is a difficult 
problem.  People do not all perform the same action in the same way.   
Different actions may look very similar on video.  And videos of the same 
action can vary wildly in appearance due to lighting, perspective, background, 
the individuals involved, and more.  


To minimize the effects of these variations, Carnegie Mellon's Mind’s Eye 
software will generate 3D models of the human activities and match these models 
to the person’s motion in the video.  It will compare the video motion to 
actions it’s already been trained to recognize (such as walk, jump, and stand) 
and identify patterns of actions (such as pick up and carry).  The software 
examines these patterns to infer what the person in the video is doing.  It 
also makes predictions about what is likely to happen next and can guess at 
activities that might be obscured or occur off-camera.  


This project's approach is to use 3D simulation to detect and classify 
behavior, and then generate symbolic information about the events that were 
observed. I'm encouraged to see someone doing work on this stage of cognition, 
as I see perception as the "missing link" that's stopping AGI from developing.

 
I wonder, will a certain naysayer feel vindicated that someone else sees 
simulation as vital to intelligence (and is using it to solve precisely the 
problems he says it's needed to solve), or will he be annoyed that the ultimate 
form the information takes is symbolic, which is compatible with semantic nets 
or any number of other existing AGI approaches?

 
 



  
    
      
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