You may want to read The Inferential Theory of Learning by Ryszard Michalski. 
He and Gheorghe Tecuci of GMU did some very good work in Reasoning.
It may be helpful in your thinking about this topic. 
~PM

Date: Sun, 18 May 2014 12:51:40 -0400
Subject: [agi] The Parts Knowledge Can be Used to Make Many Generalizations
From: [email protected]
To: [email protected]

In order to make detailed insights feasible, they need to be generalized. I bet 
that almost everyone who will read this in 2014 will misunderstand what I meant 
at first. I don't mean that many pieces of knowledge should be generalized into 
one idea, but that the parts of many individual pieces of knowledge can be 
generalized into many individualized generalizations. I am sure that this is 
being implemented in some nlp, but only at a very rudimentary level.
 The possible abstractions and combinations are uncountable. This process then 
would have the capacity for immense individualization. But it is not as simple 
as it might seem because computer programs that can keep track of, refer to and 
wisely use an immense number of possible combinations are not simple.
Jim Bromer




  
    
      
      AGI | Archives

 | Modify
 Your Subscription


      
    
  

                                          


-------------------------------------------
AGI
Archives: https://www.listbox.com/member/archive/303/=now
RSS Feed: https://www.listbox.com/member/archive/rss/303/21088071-f452e424
Modify Your Subscription: 
https://www.listbox.com/member/?member_id=21088071&id_secret=21088071-58d57657
Powered by Listbox: http://www.listbox.com

Reply via email to