Mike,

On Thu, Aug 30, 2012 at 3:38 PM, Mike Tintner <[email protected]>wrote:

>   Steve: You failed to respond to my assertion that if you can state it,
> that it is mathematical (or could easily be turned into mathematical
> notation paralleling the statement, and then manipulated using rules
> appropriate to the notation), and if you can't state it, then you can't
> possibly program it.
>
>
“Line”                  ax = by + c
“Number”            This is atomic to math.
“Shape”               The interior area of f(x, y) that forms an enclosed
area.
“form”                  The constituents of something
“Relationship”     f where x=f(y)
“Add”                   This is atomic to math.
“Subtract”           This is atomic to math.
“Round”              The nearest integer.
“Square”             To multiply by itself.

there isn’t a single CONCEPT that can be stated mathematically.
>

*Mathematics is about stating concepts.
*

> Or logically. Not a single word in the language.  Put down a geometric
> square and it will not be remotely the same, or have the same infinite
> sphere of reference,  as the *concept* of square.
>

Obviously, we can't discuss concepts until we understand what they are,
which is why we need some heavyweight R&D.

>
> And your ignorance/lack of imagination re the potential of programming, is
> comparable to that re conceptual thought – which is the foundation of AGI.
>

*Can anyone else on this forum make any sense at all of what Mike has been
saying?
*
Steve
========================

>  *From:* Steve Richfield <[email protected]>
> *Sent:* Thursday, August 30, 2012 11:15 PM
> *To:* AGI <[email protected]>
> *Subject:* Re: [agi] How Steve can be creative (or: The Nature of
> Intelligence/AGI)
>
>
> Mike,
>
> You failed to respond to my assertion that if you can state it, that it is
> mathematical (or could easily be turned into mathematical notation
> paralleling the statement, and then manipulated using rules appropriate to
> the notation), and if you can't state it, then you can't possibly program
> it.
>
> This fundamental, because without a good response, it reduces your
> comments to ramblings. Either you are some sort of super-genius who sees
> things that others can't, or you don't even understand the very concept of
> math. How would YOU go about programming art, music, etc?
>
> Also, there is an issue with the concept of "complex". I am NOT saying
> that you couldn't state all the wisdom needed to build an AGI on one side
> of a sheet of paper (though I strongly suspect that it would take MUCH
> more). What I AM saying is that from the last half-century of R&D, it will
> take many more half-centuries to ever get there at the rate we are now
> "progressing". Insanity has been defined by some as continuing to do the
> same things while expecting a different result. Present AGI approaches seem
> to fit that VERY well.
>
> I heartily agree with the idea of first "playing with something" before
> starting with serious R&D, just to get a feel for it, see how difficult it
> is to work on such things, etc. We now have had a half-century of that with
> AI/AGI, and understand that AGI is NOT simple. Now, it is time to get
> serious, as the rest of the world has already effectively written off AGI
> R&D for very understandable reasons - it is populated by people who promise
> the moon, and deliver nothing of practical value. Remember Japan's grand
> 5th Generation Computing thrust? They DID produce a running demo of what
> they were working on, and nothing more.
>
> Whatever comes next must NOT look at all like what has preceded, or it
> won't be able to raise a dime. My concept of a research center is just good
> R&D, and nothing more.
>
> While I think you are misguided, I do NOT want to discourage your efforts
> to do an end-around and make AGI work. You could conceivably be right that
> some simple numerological programming could produce the results you are
> looking for. Whoever cracks the AGI "nut" will necessarily do so with
> conviction, and one thing your postings have convinced me of is that you do
> have conviction.
>
> Even if you are 100% correct, past history has already poisoned your well.
> Such efforts are now completely unfundable. So, you will probably have to
> work alone, and fund your efforts yourself. If you succeed, you won't have
> enough money to commercialize it, so any success will be hollow.
>
> OTOH, you could write up a proposal for a proposed method, and probably at
> least some technical support from a future research center. At least you
> wouldn't be throwing your own money at it. If your approach succeeds to
> commercialization, you would at least have a good job bringing it into the
> world.
>
> So, stop arguing with those who would prospectively provide technical and
> other support for your efforts. Sure they will waste millions of dollars
> doing things that won't work, because that is what research is all about.
>
> Steve
> ===================
> On Thu, Aug 30, 2012 at 1:57 PM, Mike Tintner <[email protected]>wrote:
>
>>   Steve,
>>
>> The most interesting thing here is how not just you but the great
>> majority of AGI-ers have sold themselves on the idea of “AGI is ever so
>> complex” not this time in the mathematical sense but in the human sense of
>> “oooh, it’s ever so complicated....”
>>
>> Ben’s proceeding on that assumption – building an incredibly complex
>> machine – without working out what problem it’s supposed to solve.
>>
>> Yet I’ve just given you classic contradictions.  Shannon didn’t start
>> complicated. Turing didn’t start complicated.
>>
>> I’ve also  given you a  true AGI problem.
>>
>> And you’ve ignored all this completely – true creatives break creative
>> problems down into manageable parts.
>>
>> Well, if you wish to remain locked into your inferiority complex...
>>
>> P.S. As for your “maths is everything” – which is quite insane - there
>> clearly is no reasoning with you.
>>
>> Just one simple example of how it is not – how you will think at first it
>> is – but look closely and it is not.
>>
>> How should a Maradona or Messi plot his path with the ball when trying to
>> dribble through a team of opposing players?
>>
>> That might look mathematical. It isn’t. Navigating through the world is
>> for the most part NOT a maths. problem.   Maths can be v. helpful, but it’s
>> secondary.
>>
>> Design a font. Design a new turbine.  Design a pattern. Ditto maths, if
>> you need it at all, is purely auxiliary.
>>
>>
>>   *From:* Steve Richfield <[email protected]>
>> *Sent:* Thursday, August 30, 2012 8:54 PM
>> *To:* AGI <[email protected]>
>> *Subject:* Re: [agi] How Steve can be creative (or: The Nature of
>> Intelligence/AGI)
>>
>>  Mike,
>>
>> This appears to be the classical case of pearls before swine. EVERYTHING
>> is mathematics of SOME sort, but you seem to think there is something in
>> the 17th dimension or whatever that transcends notation. Hint: If you can't
>> express it, you can't program it. If you can express it, then it is
>> mathematics.
>>
>> Sure there may be things that transcend expression, I don't know of any,
>> but whatever they may be, they will never ever be programmed. If AGI would
>> require the programming of the inexpressible, than you might stop wasting
>> your time on it right now.
>>
>> Even in the proposed multiverse, most of which is inaccessible to us,
>> there is still a governing mathematics - from which the multiverse sprang.
>>
>> So, please return from the 17th dimension or wherever and let's at least
>> agree that we are never ever going to program the inexpressible, and
>> further, once something has been expressed, it can then be manipulated
>> according to the rules of our reality, a process commonly referred to as
>> mathematics.
>>
>> Steve
>> =====================
>> On Thu,gi30, 2012 at 11:33 AM, Mike Tintner <[email protected]>wrote:
>>
>>>   Being interested in the psychology of creativity, I am fascinated by
>>> the ways in which people get creatively stuck – and the excuses they give
>>> themselves for not tackling creative problems. This is a beauty:
>>>
>>> Steve: My assertion is that it is probably IMPOSSIBLE to understand many
>>> of the aspects of intelligence (like self-organization) without heavy math,
>>> wet lab experimentation, new scanning technology, and/or other
>>> out-of-discipline research. If nothing else, the last half-century has
>>> clearly shown that there are no easy answers, no "low hanging fruit" to
>>> gather. Plenty of people just as smart as us have dashed their careers by
>>> trying to "reason things out" without the advanced tools to simply examine
>>> the solution. I have enough of a sense of history not to do the same.
>>>
>>> ”Wow, intelligence/the brain is  so-o-o-o complex, dude....”
>>>
>>> Well, depends which brain  – and which problems – you’re looking at.
>>>
>>> The classic mistake is to think of intelligence purely  in terms of the
>>> brain (or the intelligent machine/material). That’s like thinking of
>>> photography purely in terms of cameras.
>>>
>>> You also – in fact first -  have to look at the problems intelligence
>>> tackles – just like you also – in fact first – have to look at the subjects
>>> the photographer captures, and the problems of capturing those subjects.
>>>
>>> It’s so easy to get lost in technology.
>>>
>>> In fact, the simple nematode worm has only 200 neurons and yet manages
>>> to solve all kinds of problems.
>>>
>>> And a slime mould has even less resources and yet also manages to solve
>>> problems.
>>>
>>> Problems on the other side, can be thought of in extremely complex terms
>>> -  like how to tackle mathematical problems of everyone’s favourite (and
>>> total irrelevance) – complexity.
>>>
>>> “Wow, complexity is so.o.o.o complex, dude...”
>>>
>>> Or you can think of – and represent tackling problems as ... negotiating
>>> the forking paths of a maze.
>>>
>>> All problems *are* – or were – represented by programmers as negotiating
>>> the forking paths of a maze –  in the form of a flow chart.
>>>
>>> So if you want to start solving the problem of AGI, try and have ideas
>>> about how a slime mould navigates a maze:
>>>
>>>
>>> http://goose.ycp.edu/~kkleiner/fieldnaturalhistory/fnhimages/l12images/Maze-solving%20amoeboid.asp_files/cs_client_data/3636046.pdf
>>>
>>> Tackling a maze problem like that was how Shannon got AI started.
>>>
>>> Tackling a problem like this can get AGI started.
>>>
>>> Just remember -  and this is EXTREMELY important -  the slime mould has
>>> a DIFFERENT problem to that of Shannon’s mechanical mouse.
>>>
>>> You have to look at the problem from the POV of the *slime mould* and
>>> NOT the programmer – really put yourself physically in its place.
>>>
>>> Shannon’s mouse was effectively working with Shannon’s *full knowledge*
>>> and *full overview* of mazes – the classic error all AGI-ers make.
>>>
>>> But a real world slime mould (or animal) doesn’t have an overview or
>>> full knowledge of any maze.  It just sees two walls and an opening. It
>>> doesn’t know what lies beyond. It’s not doing mathematical computations.
>>> It’s exploring unknown territory – just as all our evolutionary ancestors
>>> have done throughout evolution – and all human creative.types have done.
>>>
>>> So how can a machine do that?
>>>
>>> Ideas, (and not excuses), Steve?
>>>
>>>
>>>
>>>
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>>
>>
>> --
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>
>
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-- 
Full employment can be had with the stoke of a pen. Simply institute a six
hour workday. That will easily create enough new jobs to bring back full
employment.



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