RE: [agi] Do the inference rules.. P.S.Edward,

Thankyou for you putting your POV very clearly - and the hope perhaps of most 
AGI-ers still.

I think you are dead wrong - and it's the most expensive professional mistake 
of any AGI'er's life. I would suggest thinking a great deal further about all 
this.

IOW you are wrong in thinking that thought about the world (or domains thereof) 
can take place without sensory knowledge/ images of the world (or those 
domains) - and without the or any mind simultaneously making sense of its 
symbols.

Words and other symbols are just "names" for objects and aspects thereof. (Or 
labels on boxes). If you haven't seen or sensed the actual object behind the 
name, (or seen inside the box), those symbols are "senseless". 

[Slogan: The name is not the object. The name or word tells you nothing about 
the object it refers to.]

You haven't seen (I presume) "Vladimir Nesov" and "Mike Tintner" - so your 
capacity to infer further information (especially physical) about the 
objects/people behind the names is extremely limited.  (Nevertheless your mind 
will have already posited tentative if vague pictures for both!).

You will probably have inferred a great deal about our personalities from our 
posts , but all that will be based on your sensory experience of people using 
words and expressing ideas in the flesh -  experience, for example, that people 
who say "you are dead wrong" are usually fairly aggressive types.

A set of symbols for which you have no sensory image of the named object at all 
is totally senseless. Tell me about "Vladimir Imrov." Nothing, right? But did 
you know that he has a "grundchen"? And that belongs to the class of 
"oblomovs"? And that's a very interesting class because it encompasses both 
"imries" and "collusors" as well as "grundchens". Grundchens are partly imries 
and partly collusors. If I  had to calculate the possibility of an imrie being 
a collusor, though, I guess it would be roughly 40%, provisionally - as long as 
it doesn't have an "exxen"....

Now you know what it's like to be NARS and every other AGI computer. In the 
final analysis, computers at present are just fancy label-readers and 
comparers. They don't know wtf they're doing. [Note BTW how your mind started 
to go blank while reading the last para].

Come to your senses. And find a way to give computers some (i.e. for grounded 
thought)..

P.S. To be an AGI and solve higher adaptive problems, you have to be able to 
come up with NEW information about the world (or a scene) - in order to find 
new kinds of solution.  The only way that "senseless" computers like NARS  can 
do that - as far as I understand - is by by looking at their hierarchical 
charts and networks  of "oblomovs", "grundchens," "imries,"collusors" and 
"exxens", and noticing new connections - noticing, say, than an "exxen" also 
connects up with and has a certain degree of "grundchen-ness" (whatever that 
means).

Humans and animals however infer new information to a massive extent by LOOKING 
at the world (or that scene) - even if only in our mind's eye - and 
SEEING/sensing new approaches to problems - (although we are often under the 
illusion that it's all happening on a purely symbolic level).

I've tried to get others here to give me some examples of how symbolic 
analogies can be fruitful without success. (I'm not saying they can't be at 
all, just very limited). You, Edward, might care to engage with that challenge. 
I think it's an important one worth exploring.




  ----- Original Message ----- 
  From: Edward W. Porter 
  To: [email protected] 
  Sent: Thursday, October 11, 2007 1:13 PM
  Subject: RE: [agi] Do the inference rules.. P.S.


  Validimir and Mike, 

  For humans, much of our experience is grounded on sensory information, and 
thus much of our understanding is based on experiences and analogies derived 
largely from the physical world.  So Mike you are right that for us humans, 
much of our thinking is based on recasting of experiences of the physical world.

  But just because experience of the physical world is at the center of much of 
human thinking, does not mean it must be at the center of all possible AGI 
thinking -- any more than the fact that for millions of years the earth and the 
view from it was at the center of our thinking and that of our ancestors means 
the earth and the view from it must forever be at the center of the thinking of 
all intelligences throughout the universe.  

  In fact, one can argue that for us humans, one of our most important sources 
of grounding - emotion -- is not really about the physical world (at least 
directly), but rather about our own internal state.  Furthermore, multiple AGI 
projects, including Novamente and Joshua Blue are trying to ground their 
systems from experience in virtual words.  Yes those virtual worlds try to 
simulate physical reality, but the fact remains that much of the grounding is 
coming from bits and bytes, and not from anything more physical.

  Take Doug Lenat's AM and create a much more powerful AGI equivalent of it, 
one with much more powerful learning algorithms (such as those in Novamente), 
running on the equivalent of a current 128K processor BlueGene L with 16TBytes 
of RAM, but with a cross sectional bandwidth roughly 500 times that of the 
current BlueGene L (the type of hardware that could be profitably sold for well 
under 1 million dollars in 7 years if there were are thriving market for making 
hardware to support AGI).  

  Assume the system creates programs, mathematical structures, and 
transformations, etc. and in its own memory.   It starts out learning like a 
little kid, constantly performing little experiments, except the experiments -- 
instead of being things like banging spoons against a glass -- would be running 
programs that create data structures and then observing what is created (it 
would have built in primitives for observing its own workspace), changing the 
program and observing the change, etc.  Assume it receives no input from the 
physical world, but that it has goals and a reward system related to learning 
about programming, finding important mathematical and programming generalities, 
finding compact representations and transformation, creating and finding 
patterns in complexity, and things like that.  Over time such a system would 
develop its own type of grounding, one derived from years of experience -- and 
from billions of trillions of machine opps -- in programming and math space.

  Thus, I think you are both right.  Mike is right that for humans, sensory 
experience is a vital part of much of our ability to understand, even of our 
ability to understand things that might seem totally abstract.  But Validmir is 
right for believing that it should be possible to build an AGI that was well 
grounded in its own domain, without any knowledge of the physical world (other 
than as the manifesting of bits and bytes). 



  Edward W. Porter 
  Porter & Associates 
  24 String Bridge S12 
  Exeter, NH 03833 
  (617) 494-1722 
  Fax (617) 494-1822 
  [EMAIL PROTECTED] 




  -----Original Message----- 
  From: Mike Tintner [mailto:[EMAIL PROTECTED] 
  Sent: Wednesday, October 10, 2007 11:10 PM 
  To: [email protected] 
  Subject: Re: [agi] Do the inference rules.. P.S. 



  Vladimir, 

  I'm not trying to be difficult or critical but I literally can't understand 
  what you're saying, because you haven't given any example of a problem, 
  where "knowledge of concepts' relations and implications" somehow supersedes 
  or is independent of physical casting/ recasting. 

  Your analogy though of what I might be saying about maths (or other symbols) 
  is wrong.  Numbers and arithmetic are based on and derive from physical 
  objects and our ability to add and subtract objects etc . Geometry is 
  obviously based on an analysis of physical objects and shapes. They are 
  totally physically object-based and can only be understood as such. To point 
  this out is not at all the same as suggesting that their figures are 
  composed of ink. I am talking about what their figures (and other symbols 
  like language) refer to, not what they are composed of.  (Even a 
  mathematical concept BTW like "infinity" only became acceptable in maths 
  about the time of the printing press - when it became possible physically/ 
  realistically for the first time to imagine objects being produced ad 
  infinitum). 

  And I would suggest that our ability to perceive the kinds of concept 
  relations you may be thinking of is very much physically based and 
  "digital" - IOW based on pointing with our digits to different objects in a 
  scene (even if only in our mind's eye) - to explain, for example,  by 
  pointing to how  "this moves that" and classify by pointing out that "he is 
  the parent of her" etc. 

  Your ink analogy BTW is also, very much I suggest, a physically based and 
  technically fascinating operation. How do you think you arrived at it  - 
  other than physically and spatially? Do you think you could arrive at such 
  an analogy simply by comparing sets of symbolic properties of scientific 
  problems and their physical recasting , on the one hand, and  symbolic 
  properties of numbers and ink on the other? 

  (Such an analogy is where the Fauconnier-style analysis of "conceptual 
  blending" of "mental spaces" comes into its own. How the brain achieves an 
  analogy as complex as your ink one is still something quite awesome and 
  problematic, even with Fauconnier's help - and still way beyond computers, I 
  suggest). 

  Vladimirwrote: 

  >> Vladimir, 
  >> 
  >> No I'm sure the problem-solving isn't all down to recasting in terms 
  >> of physical models. But can you think of a scientific problem area, 
  >> where such recasting isn't involved? 
  > 
  > I just tried to provide my reason for considering it a mirage: even if 
  > problem-solving doesn't involve physical reasoning, it can be 
  > introspectively recast as sequence of spatial representations. 
  > Domain-specific concepts involved in problem-solving can easily be 
  > placed on spatially arranged schemata, but reasoning is correctly 
  > carried out because of knowledge of these concepts' relations and 
  > implications, not simply because of spatial setting in which they are 
  > arranged. It's equivalent to calling mathematics ink-reasoning because 
  > it's historically performed with help of remarks made by ink on paper 
  > and any result can be written down by ink on paper. 
  > 
  >> 
  >> (Very tangentially, what comes to my mind is chess. I'm confident 
  >> that 
  >> human 
  >> problemsolving here - and the ability to search through only scores as 
  >> opposed to billions of chessboard scenarios to arrive at moves  - 
  >> depends 
  >> on physical models, and is an ahem graphic illustration of the very 
  >> different ways in which current computers and a true general intelligence 
  >> think). 
  >> 
  >> Vladimir: These 'recastings' of problems are essentially inference 
  >> steps, where 
  >> > each step is evident and is performed by trained expert's 
  >> > intuition. Sequence of such simple steps can constitute complex 
  >> > inference which leads to solution of complex problem. This 
  >> > recasting isn't necessarily related to physical common sense, even 
  >> > though each intermediate representation can be represented as 
  >> > spatially-temporal construction by virtue of being representable by 
  >> > frame graphs evolving over time, which does not reflect the rules 
  >> > of this evolution (which are the essence of inference which is 
  >> > being performed). 
  >> > 
  >> > On 10/11/07, Mike Tintner <[EMAIL PROTECTED]> wrote: 
  >> >> Just to underline my point about the common sense foundations of 
  >> >> logic and general intelligence  - I came across this from : 
  >> >> Education & Learning to 
  >> >> Think by Lauren B Resnick - (and a section entitled "General 
  >> >> Reasoning - 
  >> >> Improving Intelligence). 
  >> >> 
  >> >> "Recent research in science problem solving shows that experts do 
  >> >> not respond to problems as they are presented - writing equations 
  >> >> for every relationship described and then using routine procedures 
  >> >> for manipulating 
  >> >> equations.Instead they reinterpret the problems, recasting them in 
  >> >> terms 
  >> >> of 
  >> >> general scientific principles until the solutions become almost 
  >> >> self-evident." 
  >> >> 
  >> >> He points out that the same principles apply to virtually all 
  >> >> subjects 
  >> >> in 
  >> >> the curriculum. I would suggest that those experts are recasting 
  >> >> problems 
  >> >> principally in terms of physical common sense models.  NARS, it seems 
  >> >> to 
  >> >> me, 
  >> >> "responds to problems as they are presented." 
  >> >> 
  >> >> 
  >> >> ----- 
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  >> > 
  >> > 
  >> > -- 
  >> > Vladimir Nesov                            mailto:[EMAIL PROTECTED] 
  >> > 
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  >> > 
  >> > -- 
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  >> > 09/10/2007 16:43 
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  >> > 
  >> 
  >> 
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  > 
  > 
  > -- 
  > Vladimir Nesov                            mailto:[EMAIL PROTECTED] 
  > 
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