Richard, 

Your response is very unclear.  

You say "authors NEVER discuss the y = x^^2 equation as if it counted as
"nonlinear"." This implies the concept of "non-linear" I have asked you to
define does not, repeat not, include functions that include powers of their
arguments, meaning they are not included in what you consider "non-linear"
in your four factors of design doom.

But then you say "Even though "linear" means y is directly 
proportional to x in its limited sense, there is a universally accepted 
general sense that is not so restricted."

Taken together this implies your concept of non-linear does not include "y
is directly proportional to x" and does not include things like y=x^2, and
does not include a lot more that falls into the definition of linear.  But,
Richard, this does not say what your concept of "non-linear" is.
Furthermore, it does not justifies the insulting putdown of Russell Wallace
you made in your Thursday, April 24, 2008 12:38 PM post.

Please, try to be a little bit tighter in your reasoning. For example,
please spend more time explaining "non-linear" as used in your four factors
of design doom rather than defining a subset of the definitions of "linear."

If on the other hand, the error was a typographical error and what you meant
to say is that "Y = X^2" is non-linear please tell us.  But if that is the
case, please tell us if "non-linear" as used in your four factors of design
doom was limited to only power functions, or if it includes other types of
non-linear functions commonly used in AI such as binary functions or
sigmoidal functions.

Ed Porter


-----Original Message-----
From: Richard Loosemore [mailto:[EMAIL PROTECTED] 
Sent: Thursday, April 24, 2008 1:33 PM
To: [email protected]
Subject: Re: **SPAM** RE: [agi] Adding to the extended essay on the complex
systems problem

Ed Porter wrote:
> RICHARD!
> 
>  
> 
> THEN WHAT IN THE HELL _DO_ YOU MEAN BY "NON-LINEAR?"
> 
>  
> 
> You keep trying to buy your way out of apparently unjustified statements 
> by attacking people ---  who interpret your words using their common 
> meanings --- for not having the telepathic power to know the special 
> "Richard" sense of your words.

If you pick up a book on "nonlinear mathematics", of any variety, you 
will find that the authors NEVER discuss the y = x^^2 equation as if it 
counted as "nonlinear".  Even though "linear" means y is directly 
proportional to x in its limited sense, there is a universally accepted 
general sense that is not so restricted.

This usage is considered so elementary that nobody would ever bother to 
explain it:  it is understood by mathematicians everywhere.  You learn 
this at about high-school level.

I have to assume a basic level of mathematical competence or I cannot 
say anything.



Richard Loosemore






>  
> 
> (Note: any definition of "non-linear" you claim you meant should cover 
> the large class of AGI approaches you claim are bound to fail because of 
> Richard-complexity.)
> 
>  
> 
> Ed Porter
> 
>  
> 
> -----Original Message-----
> From: Richard Loosemore [mailto:[EMAIL PROTECTED]
> Sent: Thursday, April 24, 2008 12:38 PM
> To: [email protected]
> Subject: Re: **SPAM** RE: [agi] Adding to the extended essay on the 
> complex systems problem
> 
>  
> 
> Russell Wallace wrote:
> 
>>  On Thu, Apr 24, 2008 at 2:14 AM, Mark Waser <[EMAIL PROTECTED]>
wrote:
> 
>> > The real gotcha, though is the "Are the functions describing
> 
>> > the behavior deeply nonlinear".  You're just not going to find that 
> with the
> 
>> > first three.
> 
>>
> 
>>  Actually, it's true of every program significantly more complex than
> 
>>  "Hello World" that the functions describing the behavior are deeply
> 
>>  nonlinear. This shouldn't be too surprising, because it's also true of
> 
>>  every electronic device significantly more complex than a length of
> 
>>  wire, every chemical system other than a hydrogen atom, every
> 
>>  mechanical device with more than one or two moving parts, every fluid
> 
>>  dynamics system that involves turbulence - and every neural network
> 
>>  more complex than a one-layer perceptron, so if complexity made
> 
>>  systems undevelopable, not only could ANNs not operate, but organic
> 
>>  brains could neither develop in the individual nor evolve in the
> 
>>  species.
> 
>>
> 
>>  The notions of nonlinearity and complexity simply don't do what
> 
>>  Richard wants them to do.
> 
>  
> 
> You have fallen into two traps that I have to deal with over and over.
> 
>  
> 
> 1) The claims are meant to be applied at a chosen level of description -
> 
> jumping down to other levels of description is not relevant.
> 
>  
> 
> For example, if a physicist that "below the elastic limit, a spring is a
> 
> linear system", would you drop down a level and call the physicist a
> 
> fool, because "every chemical system other than a hydrogen atom [is
> 
> deeply nonlinear]"  .... the exact statement that you just made above?
> 
>  
> 
> If you would not do such a thing to the physicist, why do you try that
> 
> trick on the argument I just presented?
> 
>  
> 
> 2) There is a widely accepted, broader sense of 'nonlinear' than merely
> 
> "not described by an equation in which x is proportional to y".  That
> 
> broader sense is roughly equivalent to "cannot separate the variables".
> 
>  
> 
> You then go flying off on a sequence of non-sequiteurs ("so if
> 
> complexity made systems undevelopable ...") which imply that I made
> 
> arguments that I did not.
> 
>  
> 
>  
> 
>  
> 
> Richard Loosemore
> 
>  
> 
>  
> 
> -------------------------------------------
> 
> agi
> 
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