If Genifer is not yet written, then consider writing Genifer 3.0 in the Premise 
language. 
Contact me for details.  [email protected]

~PM

From: [email protected]
To: [email protected]
Subject: RE: [agi] Genifer 3.0 white paper
Date: Wed, 20 May 2015 13:54:49 -0700




YKY, 
I like the direction this is going. Is Genifer 3.0 implemented yet? 
A couple of thoughts:  
1. Another way to eliminate variables is to employ analogy (i.e., 
substitution).     Hofstadter's group has been exploring analogy for years.
2. What is the purpose of the registers? 
3. Another way to constrain search is to employ activation, (i.e., only search 
active entries in the knowledge base).    That is the principle behind the 
Neural Propositions in PAM.P2. 
4. Now that you've eliminated variables you can begin to do some incredible 
reasoning via analogy, deduction, and     induction:  generalization, 
specialization, abstraction, concretion, similization, dissimilization, etc. 
Read Michalski's     Inferential Theory of Learning.
Cheers,
~PM

Date: Wed, 20 May 2015 23:36:40 +0800
Subject: Re: [agi] Genifer 3.0 white paper
From: [email protected]
To: [email protected]

On Tue, May 19, 2015 at 11:37 PM, Matt Mahoney <[email protected]> wrote:
What are your goals? What do you hope that Genifer4 will accomplish? Do you 
have any test cases? What is your cost estimate?
​What I have in mind is a search engine that can answer questions directly, and 
return answers that are not just direct matches but also logical consequences 
of the queries with background knowledge.​
I have not estimated the development costs... I don't even have a team now :]




  
    
      
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