On Tue, Oct 21, 2008 at 5:20 PM, Mark Waser <[EMAIL PROTECTED]> wrote:

>  >> But, by the time she overcame every other issue in the way of really
> understanding science, her natural lifespan would have long been
> overspent...
> You know, this is a *really* interesting point.  Effectively what you're
> saying (I believe) is that the difficulty isn't in learning but in
> UNLEARNING incorrect things that actively prevent you (via conflict) from
> learning correct things.  Is this a fair interpretation?
>

I think that's a large part of it

Incorrect things are wrapped up with correct things in peoples' minds

However, pure slowness at learning is another part of the problem ...



>
> It's also particularly interesting when you compare it to information
> theory where the sole cost is in erasing a bit, not in setting it.
>
>
> ----- Original Message -----
> *From:* Ben Goertzel <[EMAIL PROTECTED]>
> *To:* agi@v2.listbox.com
> *Sent:* Tuesday, October 21, 2008 2:56 PM
> *Subject:* Re: AW: AW: [agi] Re: Defining AGI
>
>
> Hmm...
>
> I think that non-retarded humans are fully general intelligences in the
> following weak sense: for any fixed t and l, for any human there are some
> numbers M and T so that if the human is given amount M of external memory
> (e.g. notebooks to write on), that human could be taught to emulate AIXItl
>
> [see
> http://www.amazon.com/Universal-Artificial-Intelligence-Algorithmic-Probability/dp/3540221395/ref=sr_1_1?ie=UTF8&s=books&qid=1224614995&sr=1-1,
>  or the relevant papers on Marcus Hutter's website]
>
> where each single step of AIXItl might take up to T seconds.
>
> This is a kind of generality that I think no animals but humans have.  So,
> in that sense, we seem to be the first evolved general intelligences.
>
> But, that said, there are limits to what any one of us can learn in a fixed
> finite amount of time.   If you fix T realistically then our intelligence
> decreases dramatically.
>
> And for the time-scales relevant in human life, it may not be possible to
> teach some people to do science adequately.
>
> I am thinking for instance of a 40 yr old student I taught at the
> University of Nevada way back when (normally I taught advanced math, but in
> summers I sometimes taught remedial stuff for extra $$).  She had taken
> elementary algebra 7 times before ... and had had extensive tutoring outside
> of class ... but I still was unable to convince her of the incorrectness of
> the following reasoning: "The variable a always stands for 1.  The variable
> b always stands for 2. ... The variable z always stands for 26."   She was
> not retarded.  She seemed to have a mental block against algebra.  She could
> discuss politics and other topics with seeming intelligence.  Eventually I'm
> sure she could have been taught to overcome this block.  But, by the time
> she overcame every other issue in the way of really understanding science,
> her natural lifespan would have long been overspent...
>
> -- Ben G
>
>
> On Tue, Oct 21, 2008 at 12:33 PM, Mark Waser <[EMAIL PROTECTED]> wrote:
>
>>  >> Yes, but each of those steps is very vague, and cannot be boiled down
>> to a series of precise instructions sufficient for a stupid person to
>> consistently carry them out effectively...
>> So -- are those stupid people still general intelligences?  Or are they
>> only general intelligences to the degree to which they *can* carry them
>> out?  (because I assume that you'd agree that general intelligence is a
>> spectrum like any other type).
>>
>> There also remains the distinction (that I'd like to highlight and
>> emphasize) between a discoverer and a learner.  The cognitive
>> skills/intelligence necessary to design questions, hypotheses, experiments,
>> etc. are far in excess the cognitive skills/intelligence necessary to
>> evaluate/validate those things.  My argument was meant to be that a general
>> intelligence needs to be a learner-type rather than a discoverer-type
>> although the discoverer type is clearly more effective.
>>
>> So -- If you can't correctly evaluate data, are you a general
>> intelligence?  How do you get an accurate and effective domain model to
>> achieve competence in a domain if you don't know who or what to believe?  If
>> you don't believe in evolution, does that mean that you aren't a general
>> intelligence in that particular realm/domain (biology)?
>>
>> >> Also, those steps are heuristic and do not cover all cases.  For
>> instance step 4 requires experimentation, yet there are sciences such as
>> cosmology and paleontology that are not focused on experimentation.
>> I disagree.  They may be based upon thought experiments rather than
>> physical experiments but it's still all about predictive power.  What is
>> that next star/dinosaur going to look like?  What is it *never* going to
>> look like (or else we need to expand or correct our theory)?  Is there
>> anything that we can guess that we haven't tested/seen yet that we can
>> verify?  What else is science?
>>
>> My *opinion* is that the following steps are pretty inviolable.
>>     A.  Observe
>>     B.  Form Hypotheses
>>     C.  Observe More (most efficiently performed by designing competent
>> experiments including actively looking for disproofs)
>>     D.  Evaluate Hypotheses
>>     E.  Add Evaluation to Knowledge-Base (Tentatively) but continue to
>> test
>>     F.  Return to step A with additional leverage
>>
>> If you were forced to codify the "hard core" of the scientific method, how
>> would you do it?
>>
>> >> As you asked for references I will give you two:
>> Thank you for setting a good example by including references but the
>> contrast between the two is far better drawn in *For and Against 
>> Method*<http://en.wikipedia.org/w/index.php?title=For_and_Against_Method&action=edit&redlink=1>(ISBN
>> 0-226-46774-0<http://en.wikipedia.org/wiki/Special:BookSources/0226467740>
>> ).
>> Also, I would add in Polya, Popper, Russell, and Kuhn for completeness
>> for those who wish to educate themselves in the fundamentals of Philosophy
>> of Science
>> (you didn't really forget that my undergraduate degree was a dual major of
>> Biochemistry and Philosophy of Science, did you? :-).
>>
>> My view is basically that of Lakatos to the extent that I would challenge
>> you to find anything in Lakatos that promotes your view over the one that
>> I've espoused here.  Feyerabend's rants alternate between criticisms
>> ultimately based upon the fact that what society frequently calls science
>> is far more politics (see sociology of scientific knowledge); a 
>> Tintnerian/Anarchist
>> rant against structure and formalism; and incorrect portrayals/extensions of
>> Lakatos (just like this list ;-).  Where he is correct is in the first
>> case where society is not doing science correctly (i.e. where he provided
>> examples regarded as indisputable instances of progress and showed how the
>> political structures of the time fought against or suppressed them).  But
>> his rants against structure and formalism (or, purportedly, for freedom and
>> humanitarianism <snort>) are simply garbage in my opinion (though I'd guess
>> that they appeal to you ;-).
>>
>>
>>
>>
>>
>>  ----- Original Message -----
>> *From:* Ben Goertzel <[EMAIL PROTECTED]>
>>  *To:* agi@v2.listbox.com
>>   *Sent:* Tuesday, October 21, 2008 10:41 AM
>> *Subject:* Re: AW: AW: [agi] Re: Defining AGI
>>
>>
>>
>>   On Tue, Oct 21, 2008 at 10:38 AM, Mark Waser <[EMAIL PROTECTED]>wrote:
>>
>>> Oh, and I *have* to laugh . . . .
>>>
>>> Hence the wiki entry on scientific method:
>>>> "Scientific method is not a recipe: it requires intelligence,
>>>> >imagination,
>>>>
>>> and creativity"
>>>
>>>> http://en.wikipedia.org/wiki/Scientific_method
>>>> This is basic stuff.
>>>>
>>>
>>> In the cited wikipedia entry, the phrase "Scientific method is not a
>>> recipe: it requires intelligence, imagination, and creativity" is
>>> immediately followed by just such a recipe for the scientific method
>>>
>>> A linearized, pragmatic scheme of the four points above is sometimes
>>> offered as a guideline for proceeding:[25]
>>
>>
>> Yes, but each of those steps is very vague, and cannot be boiled down to a
>> series of precise instructions sufficient for a stupid person to
>> consistently carry them out effectively...
>>
>> Also, those steps are heuristic and do not cover all cases.  For instance
>> step 4 requires experimentation, yet there are sciences such as cosmology
>> and paleontology that are not focused on experimentation.
>>
>> As you asked for references I will give you two:
>>
>> Paul Feyerabend, Against Method (a polemic I don't fully agree with, but
>> his points need to be understood by those who will talk about scientific
>> method)
>>
>> Imre Lakatos, The Methodology of Scientific Research Programmes (which I
>> do largely agree with ... he's a very subtle thinker...)
>>
>>
>>
>> ben g
>>
>>
>>>  1.. Define the question
>>>  2.. Gather information and resources (observe)
>>>  3.. Form hypothesis
>>>  4.. Perform experiment and collect data
>>>  5.. Analyze data
>>>  6.. Interpret data and draw conclusions that serve as a starting point
>>> for new hypothesis
>>>  7.. Publish results
>>>  8.. Retest (frequently done by other scientists)
>>>
>>>
>>>
>>> ----- Original Message ----- From: "Dr. Matthias Heger" <[EMAIL PROTECTED]>
>>>
>>> To: <agi@v2.listbox.com>
>>> Sent: Monday, October 20, 2008 5:00 PM
>>> Subject: AW: AW: AW: [agi] Re: Defining AGI
>>>
>>>
>>> If MW would be scientific then he would not have asked Ben to prove that
>>> MWs
>>> hypothesis is wrong.
>>> The person who has to prove something is the person who creates the
>>> hypothesis.
>>> And MW has given not a tiny argument for his hypothesis that a natural
>>> language understanding system can easily be a scientist.
>>>
>>> -Matthias
>>>
>>> -----Ursprüngliche Nachricht-----
>>> Von: Eric Burton [mailto:[EMAIL PROTECTED]
>>> Gesendet: Montag, 20. Oktober 2008 22:48
>>> An: agi@v2.listbox.com
>>> Betreff: Re: AW: AW: [agi] Re: Defining AGI
>>>
>>>
>>> You and MW are clearly as philosophically ignorant, as I am in AI.
>>>>
>>>
>>> But MW and I have not agreed on anything.
>>>
>>> Hence the wiki entry on scientific method:
>>>> "Scientific method is not a recipe: it requires intelligence,
>>>> >imagination,
>>>>
>>> and creativity"
>>>
>>>> http://en.wikipedia.org/wiki/Scientific_method
>>>> This is basic stuff.
>>>>
>>>
>>> And this is fundamentally what I was trying to say.
>>>
>>> I don't think of myself as "philosophically ignorant". I believe
>>> you've reversed the intention of my post. It's probably my fault for
>>> choosing my words poorly. I could have conveyed the nuances of the
>>> argument better as I understood them. Next time!
>>>
>>>
>>> -------------------------------------------
>>> agi
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>>
>>
>>
>> --
>> Ben Goertzel, PhD
>> CEO, Novamente LLC and Biomind LLC
>> Director of Research, SIAI
>> [EMAIL PROTECTED]
>>
>> "Nothing will ever be attempted if all possible objections must be first
>> overcome "  - Dr Samuel Johnson
>>
>>
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>
>
>
> --
> Ben Goertzel, PhD
> CEO, Novamente LLC and Biomind LLC
> Director of Research, SIAI
> [EMAIL PROTECTED]
>
> "Nothing will ever be attempted if all possible objections must be first
> overcome "  - Dr Samuel Johnson
>
>
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-- 
Ben Goertzel, PhD
CEO, Novamente LLC and Biomind LLC
Director of Research, SIAI
[EMAIL PROTECTED]

"Nothing will ever be attempted if all possible objections must be first
overcome "  - Dr Samuel Johnson



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