Brett: You say that Adaptron uses compositional hierarchies of binary neurons 
(binons) as its 
representational system, and that as it learns, it
builds up an integrated perception–action hierarchy of binons to represent its 
experiences.

Are you saying that all knowledge is then stored in a (single) hierarchy?  
Because that does not make any sense to me.  I think that knowledge has to be 
stored in subsystems that may be integrated in different ways, and which must 
be utilized in different ways.
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Artificial General Intelligence List: AGI
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