Re: The Super-Intelligence (SI) speaks: An imaginary dialogue

2008-09-01 Thread Colin Hales
Hi Marc,

*/Eliezer/*'s hubris about a Bayesian approach to intelligence is 
nothing more than the usual 'metabelief' about a mathematics... or about 
computation... meant in the sense that cognition is computation, where 
computation is done BY the universe (with the material of the universe 
used to manipulate abstract symbols) 
/search?hl=ensa=Xoi=spellresnum=0ct=resultcd=1q=Eliezer+Yudkowskyspell=1.

*You don't have to work so hard to walk away from that approach...*

Computationalism is FALSE in the sense that it cannot be used to 
construct a scientist.
A scientist deals with the UNKNOWN.
If you could compute a scientist you would already know everything! 
Science would be impossible.
So you *can* 'compute/simulate' a scientist, but if you could the 
science must already have been done... hence you wouldn't want to. 
Computationalism is FALSE in the sense of 'not useful', not false in the 
sense of 'wrong'.

You cannot model a modeller of the intrinsically unknown. As a 
computationalist  manipluator of abstract symbols you are required to 
deliver a model of how to learn - in which you must specify how all 
novelty shall be handled! In other words you can;t deal with the REAL 
unknown - where you have no such model!

 ie. a computationalist scientist is an oxymoron: a logical 
contradiction. If you say you can then you are question begging 
computationalism whilst failing to predict an a-priori unsupervised 
observer (a scientist).

The Bayesian 'given' (the conditional) assumes knowledge of a given 
which is a-priori not available. It assumes observation of the kind we 
have.. otherwise how would you know any options to choose as 
givens?. furthermore it assumes that if somehow we were to 
experiment to resolve a choice of 'givens' (Bayesian conditionals) as 
being the 'truth' - then there are potentially an enormous collection of 
'givens', all of which can be inserted in the same bayesian predictor... 
resulting  in degenerate knowledge you know NOTHING because you fail 
to resolve anything useful about the world outside. You don't even know 
there's an 'outside'.

The bayesian (all computationalist) approach fails to predict 
observation (in the sense of ANY observation/an observer, not a 
particular observation) and fails to predict the science that might 
result from an observer.

This is the achilles heel of the computationalist argument.

The computationalist delusion (dressed up in Bayesian or any other 
abstract symbol-manipulator's clothes) has to stop right here, right now 
and for good.

BTW This does not mean that 'cognition is not computation' I hold 
that cognition is NATURAL symbol manipulation, not ABSTRACT symbol 
manipulation. But that's a whole other story... The natural symbols are 
the key.

Please feel free to deliver the above to Eliezer. He'll remember me! 
Tell him the AGI he is so fearful of are a DOORSTOP and will be 
pathetically vulnerable to human intervention. The whole AGI 
fear-mongering realm needs to get over themselves and start being 
scientific about what they do. It's all based on assumptions which are 
false.

cheers,
colin



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Re: The Super-Intelligence (SI) speaks: An imaginary dialogue

2008-09-01 Thread Colin Hales
Hi!
Assumptions assumption assumptionstake a look: You said:

Why would you say that? Computer simulations can certainly produce 
results you didn't already know about, just look at genetic algorithms.

OK. here's the rub... /You didn't already know about.../.
Just exactly 'who' (the 'you') is 'knowing' in this statement?
You automatically put an external observer outside my statement.
*My observer is the knower.* *There is no other knower:* The scientist 
who gets to know is the person I am talking about! There's nobody else 
around who gets to decide what is known... you put that into my story 
where there is none. My story is of /unsupervised/ learning. Nobody else 
gets to choose Bayesian priors/givens. And nobody else is around to pass 
judgement... the result IS the knowledge. Tricky eh?

A genetic algorithm (that is, a specific kind of computationalist 
manipulation of abstract symbols) cannot be a scientist. Even the 'no 
free lunch' theorem, proves that without me adding anything but just 
to seal the lid on itI would defy any computationalist artefact 
based on abstract symbol manipulation to come up with a law of nature ...

... by law of nature I mean an ABSTRACTION about the distal natural 
world derived from a set of experiences of the distal natural world (NOT 
merely IO signals... these are NOT experienced). The IO is degenerately 
related to the distal natural world by the laws of physics... a 
computationalist IO system is fundamentally degenerately related to the 
distal natural world...so it doesn't even know what is 'out there' at 
all, let alone that there's a generalisation operating BEHIND it. A law 
of nature, to a genetic algorithm or any other 
abstract/computationalist beast... would merely predict IO behaviour at 
its sensory boundary. It may be brilliantly accurate! But that *IS NOT 
SCIENCE* because there's no verifiable deliverable to pass on...and it 
has nothing else to work with. An artefact based on this may survive in 
a habitat... but that is NOT science.

Sothere's no scientist here. (BTW IO = input/output).
cheers,
colin


Jesse Mazer wrote:
 Colin Hales wrote:

   
 Computationalism is FALSE in the sense that it cannot be used to construct a 
 scientist.
 A scientist deals with the UNKNOWN.
 If you could compute a scientist you would already know everything! Science 
 would be impossible.
 So you can 'compute/simulate' a scientist, but if you could the science must 
 already have been done... 
 

 Why would you say that? Computer simulations can certainly produce results 
 you didn't already know about, just look at genetic algorithms.
 
   

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Re: The Super-Intelligence (SI) speaks: An imaginary dialogue

2008-09-01 Thread marc . geddes



On Sep 2, 1:56 pm, Colin Hales [EMAIL PROTECTED] wrote:
 Hi Marc,

 */Eliezer/*'s hubris about a Bayesian approach to intelligence is
 nothing more than the usual 'metabelief' about a mathematics... or about
 computation... meant in the sense that cognition is computation, where
 computation is done BY the universe (with the material of the universe
 used to manipulate abstract symbols)
 /search?hl=ensa=Xoi=spellresnum=0ct=resultcd=1q=Eliezer+Yudkowskysp­ell=1.

 *You don't have to work so hard to walk away from that approach...*


Hi Colin,

The chess computer 'Deep Blue' was computational, and could play chess
better than the (then) chess world champion, Gary Kasparov.  But that
didn't mean that the programmers understood all the chess, or all the
chess had already been played.  So I don't think your argument is a
good one.  You can't rebut Yudkowsy's approach as easily as that ;)

But I kind of understand your sentiment, and agree that science can't
(and shouldn't be) reduced to mere Bayesian probability shuffling.
There are aesthetic judgements involved in science, and I don't think
any precise mathematical definition of these aesthetic notions is
possible, as Bruno has already opined.Yudkowsky's excessive faith
in Bayesian Induction is definitely his weakness.  But that doesn't
mean we can't make a computational super-intelligence.

Cheers


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