You might want to take  a look at a paper I wrote last year as well:
The Neural Proposition: Structures for Cognitive Systems  (AAAI Press).
It may be helpful. 
If any of the ideas prove useful, kindly include the appropriate citation. 
Cheers,
~PM. 
> From: [email protected]
> To: [email protected]
> Date: Thu, 14 Aug 2014 16:30:15 -0500
> Subject: [agi] New Post-Doctoral Researcher Joining the Effort...
> 
> Greetings all…
> 
> This post will present the future direction for my research and development.  
> After the Atom architecture is tested and completed, it will be used as the 
> component in a future FlowStone project that will construct a primitive Mind 
> OS architecture.  Attach is a project description for such an architecture 
> that will perform within a limited knowledge domain.
> 
> I hold the expectation that although a full-functioning mind OS will be able 
> to transfer generalized knowledge to dealing with other novel objectives, 
> every mind OS will have it’s domain of expertise.  This is the same for 
> humans where each of us don’t know everything and each of us has an area 
> (domain) of expertise.
> 
> The attached project describes the initial Phase 0 for a primitive Mind OS 
> that will be used to gain insights to knowledge transference.  This future 
> design science research will seek to develop a Mind OS that will learn and 
> transfer knowledge in the following phases:
> 
> Phase 1 - Learn to win 2D Tic-Tac-Toe.
> 
> Phase 2 - Learn to win 3D Tic-Tac-Toe.
> 
> Phase 3 - Learn to win Checkers.
> 
> Phase X - Learn to win Chess.
> 
> Thus, this describes by predicted future direction for design science 
> research leading to implementing Novamente AGI as computing hardware 
> architecture.  Once again, these ideas and attached documents are considered 
> public domain.  Take what you can use and leave the rest…
> 
> Daniel Martin, Ph.D.
> 
> 
> 
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