Jim: "If you are curious about my opinions on this I would try to explain it,"

Sure Jim,  I'd like to know your thoughts on the subject. Perhaps I'm missing 
something.
My point is that we don't really need to know what's under the hood from an 
architecturalperspective.  The internal representation is an implementation 
detail, if you think of the larger functional processes as black boxes with 
specific inputs and outputs and well defined behavior. 
I have a straw man representation which I am experimenting with.  If it's 
adequate, thenthat's all that is required.   Basic experimentation will prove 
it out.  If it fails, then we ascribe causes to the failure, modify the 
representation to avoid the failure, and try again. Simple iterative process.  
Call me naive.
The internal representation has to support certain requirements, assumptions, 
dependencies, and constraints.  For me my main criteria are as follows: 
1. The representation needs to support activation.2. The representation needs 
to support relationships (patterns among elements).3. The representation needs 
to support reification. 
As long as the representation does that, I'm satisfied. 
~PM

Date: Tue, 4 Dec 2012 09:51:11 -0500
Subject: Re: [agi] Deb Roy: The Birth of a Word
From: [email protected]
To: [email protected]

PM: "For me knowing the brain's internal representation would be helpful, but 
is not necessary,as long as a program can mimic the output using its own 
internal representation.  I can 
use my own straw man representation and see if that works. Any representation 
would do for me actually, as long as it gets results."
----------------------------------------------------------- I have no idea why 
you would make a remark like this, but as I was trying to explain why it was 
wrong I realized that argument was a side issue, at least partly based on 
semantics, which is not very important.  If you are curious about my opinions 
on this I would try to explain it, but since you probably aren't I am just 
going to get back on track as quickly as I can.
We certainly could write programs that could learn individual words using an 
observe-interact-and-compare strategy.  The problem is that as knowledge grows, 
the possibilities of finding meaning and relevant actions for a particular IO 
event increase to the point that it becomes impossible to search through them 
all.
 In other words, all evidence (or my intuition about the evidence that I have 
seen) points to the necessity of using an extensive (not exhaustive but 
extensive) comparative method to look at possibilities for meaning and finding 
good reactions to an IO event.  An AGI program cannot note every detail of an 
ongoing event and use that information to perfectly denote the meaning of the 
event, so it must rely on an exhaustive search of possibilities.  When you have 
extensive knowledge about uncountable combinations of possibilities that might 
be relevant to a situation, then the program just cannot search through them 
all in a reasonable amount of time.  And remember, the program has to be using 
some creativity as it searches through the possibilities, so some of the 
possibilities that it has to consider would be functionally imaginative. 
 Your (would-be) AGI program can learn first words much faster than a baby.  
The problem is that we don't have any good strategies of producing  more 
complex levels of recognition and reaction that can be used effectively.  
Perhaps I am wrong about this and perhaps I do have a good strategy in mind 
that might actually work to some degree.  It is just that I don't feel that is 
too likely.  But maybe I should try some of my ideas out just to see what 
happens.
 Jim     On Tue, Dec 4, 2012 at 2:50 AM, Piaget Modeler 
<[email protected]> wrote:

The way I view it these days is that a particular set of schemes (or solutions 
as I call them)
are activated and differentiated over this time period:  the period it takes 
for "gaa" to transform into "water" during sessions of primary circular 
reactions (the infant hearing 
his own voice and deciding to have it match his caregiver's pronunciation) or 
secondary circular reactions (the infant getting the caregiver to say "water"). 

 For me knowing the brain's internal representation would be helpful, but is 
not necessary,as long as a program can mimic the output using its own internal 
representation.  I can 
use my own straw man representation and see if that works. Any representation 
would do for me actually, as long as it gets results.

~PM



  
    
      
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