RE: RE: FW: [agi] A paper that actually does solve the problem of consciousness

2008-12-02 Thread Ed Porter
Hector,

 

I skimmed your paper linked to in the post below.  

 

From my quick read it appears the only meaningful way it suggests a brain
might be infinite was that since the brain used analogue values --- such as
synaptic weights, or variable time intervals between spikes (and presumably
since those analogue values would be determined by so many factors, each of
which might modify their values slightly) --- the brain would be capable of
computing many values each of which could arguably have infinite gradation
in value.  So arguably its computations would be infinitely complex, in
terms of the number of bits that would be required to describe them exactly.

 

If course, it is not clear the universe itself supports infinitely fine
gradation in values, which your paper admits is a questions.

 

But even if the universe and the brain did support infinitely fine
gradations in value, it is not clear computing with weights or signals
capable of such infinitely fine gradations, necessarily yields computing
that is meaningfully much more powerful, in terms of the sense of experience
it can provide --- unless it has mechanisms that can meaningfully encode and
decode much more information in such infinite variability.  You can only
communicate over a very broad bandwidth communication medium as much as your
transmitting and receiving mechanisms can encode and decode.

 

For example, it is not clear a high definition TV capable of providing an
infinite degree of variation in its colors, rather than only say 8, 16, 32,
or 64 bits for each primary color, would provide any significantly greater
degree of visual experience, even though one could claim the TV was sending
out a signal of infinite complexity.

 

I have read and been told by neural net designers that typical neural nets
operate by dividing a high dimensional space into subspaces.  If this is
true, then it is not clear that merely increasing the resolution at which
such neural nets were computed, say beyond 64 bits, would change the number
of subspaces that could be represented with a given number, say 100 billion,
of nodes --- or that the minute changes in boundaries, or the occasional
difference in tipping points that might result from infinite precision math,
if it were possible, would be of that great a significance with regard to
the overall capabilities of the system.  Thus, it is not clear that infinite
resolution in neural weights and spike timing would greatly increase the
meaningful (i.e., having grounding), rememberable, and actionable number of
states the brain could represent. 

 

My belief --- and it is only a belief at this point in time --- is that the
complexity a finite human brain could deliver is so great --- arguably equal
to 1000 millions simultaneous DVD signals that interact with each other and
memories --- that such a finite computation is enough to create the sense of
experiential awareness we humans call consciousness.  

 

I am not aware of anything that modern science says with authority about
external reality --- or that I have sensed from my own experiences of my own
consciousness --- that would seem to require infinite resources.

 

Something can have a complexity far beyond human comprehension, far beyond
even the most hyperspeed altered imaginings of a drugged mind, arguably far
beyond the complexity of the observable universe, without requiring for its
representation more than an infinitesimal fraction of anything that could be
accurately called infinite.

 

Ed Porter

 

-Original Message-
From: Hector Zenil [mailto:[EMAIL PROTECTED] 
Sent: Sunday, November 30, 2008 10:42 PM
To: agi@v2.listbox.com
Subject: Re:  RE: FW: [agi] A paper that actually does solve the problem
of consciousness

 

On Mon, Dec 1, 2008 at 3:09 AM, Ben Goertzel [EMAIL PROTECTED] wrote:

 But quantum theory does appear to be directly related to limits of the

 computations of physical reality.  The uncertainty theory and the

 quantization of quantum states are limitations on what can be computed by

 physical reality.



 Not really.  They're limitations on what  measurements of physical

 reality can be simultaneously made.



 Quantum systems can compute *exactly* the class of Turing computable

 functions ... this has been proved according to standard quantum

 mechanics math.  however, there are some things they can compute

 faster than any Turing machine, in the average case but not the worst

 case.



 

Sorry, I am not really following the discussion but I just read that

there is some misinterpretation here. It is the standard model of

quantum computation that effectively computes exactly the Turing

computable functions, but that was almost hand tailored to do so,

perhaps because adding to the theory an assumption of continuum

measurability was already too much (i.e. distinguishing infinitely

close quantum states). But that is far from the claim that quantum

systems can compute exactly the class of Turing 

Re: RE: FW: [agi] A paper that actually does solve the problem of consciousness

2008-12-02 Thread J. Andrew Rogers


On Dec 2, 2008, at 8:31 AM, Ed Porter wrote:
From my quick read it appears the only meaningful way it suggests a  
brain might be infinite was that since the brain used analogue  
values --- such as synaptic weights, or variable time intervals  
between spikes (and presumably since those analogue values would be  
determined by so many factors, each of which might modify their  
values slightly) --- the brain would be capable of computing many  
values each of which could arguably have infinite gradation in  
value.  So arguably its computations would be infinitely complex, in  
terms of the number of bits that would be required to describe them  
exactly.


If course, it is not clear the universe itself supports infinitely  
fine gradation in values, which your paper admits is a questions.



The universe has a noise floor (see: Boltzmann, Planck, et al), from  
which it follows that all analog values are equivalent to some  
trivial number of bits. Since digital deals with the case of analog  
at the low end of signal to noise ratios, digital usually denotes a  
proper subset of analog, making the equivalence unsurprising.


The obvious argument against infinite values is that the laws of  
thermodynamics would no longer apply if that were the case.  Given the  
weight of the evidence for thermodynamics being valid, it is probably  
prudent to stick with models that work when restricted to a finite  
dynamic range for values.



The fundamental non-equivalence of digital and analog is one of those  
hard-to-kill memes that needs to die, along with the fundamental non- 
equivalence of parallel and serial computation. Persistent buggers,  
even among people who should know better.


Cheers,

J. Andrew Rogers



---
agi
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RE: RE: FW: [agi] A paper that actually does solve the problem of consciousness

2008-12-02 Thread Ed Porter
J.,

 

Your arguments seem to support my intuitive beliefs, so my instinctual
response is to be thankful for them.  

 

But I have to sheepishly admit I don't totally understand them.

 

Could you please give me a simple explanation for why it is an obvious
argument against infinite values ... that the laws of thermodynamics would
no longer apply if that were the case.  

 

I am not disagreeing, just not understanding. For example, I am not
knowledgeable enough about the subject to understand why the laws of
thermodynamics could not apply in a classical model of the world in which
atoms and molecules have positions and velocities defined with infinite
precision, which I think many people who believed in them for years thought
before the rise of quantum mechanics.

 

I addition --- although I do understand how noise provides a limit to what
can be encoded and decoded as intended communication between an encoding and
decoding entity even on a hypothetical infinite bandwidth medium --- it is
not clear to me that, at least, that at some physical level, the noise
itself might be considered information, and might play a role in the
computations of reality. 

 

That is not an argument that proves infinite variability, but it might be
viewed as an arguments that limits the range of applicability of your
noise-floor argument. As anybody who has listened to noisy radio, or watched
noisy TV reception can, hear or see, noise can be perceived as signal, even
if not an intended one.  

 

To the extent that I am wrong in this devil's advocacy, please enlighten me.


 

(Despite his obvious deficiencies, the devil is a most interesting client,
and I am sure I have offended many people --- but, I hope, not you --- by
arguing his cause too strenuously out of intellectual curiosity.)

 

Ed Porter

 

 

-Original Message-
From: J. Andrew Rogers [mailto:[EMAIL PROTECTED] 
Sent: Tuesday, December 02, 2008 4:15 PM
To: agi@v2.listbox.com
Subject: Re:  RE: FW: [agi] A paper that actually does solve the problem
of consciousness

 

On Dec 2, 2008, at 8:31 AM, Ed Porter wrote:

 From my quick read it appears the only meaningful way it suggests a  

 brain might be infinite was that since the brain used analogue  

 values --- such as synaptic weights, or variable time intervals  

 between spikes (and presumably since those analogue values would be  

 determined by so many factors, each of which might modify their  

 values slightly) --- the brain would be capable of computing many  

 values each of which could arguably have infinite gradation in  

 value.  So arguably its computations would be infinitely complex, in  

 terms of the number of bits that would be required to describe them  

 exactly.



 If course, it is not clear the universe itself supports infinitely  

 fine gradation in values, which your paper admits is a questions.

 

 

The universe has a noise floor (see: Boltzmann, Planck, et al), from  

which it follows that all analog values are equivalent to some  

trivial number of bits. Since digital deals with the case of analog  

at the low end of signal to noise ratios, digital usually denotes a  

proper subset of analog, making the equivalence unsurprising.

 

The obvious argument against infinite values is that the laws of  

thermodynamics would no longer apply if that were the case.  Given the  

weight of the evidence for thermodynamics being valid, it is probably  

prudent to stick with models that work when restricted to a finite  

dynamic range for values.

 

 

The fundamental non-equivalence of digital and analog is one of those  

hard-to-kill memes that needs to die, along with the fundamental non- 

equivalence of parallel and serial computation. Persistent buggers,  

even among people who should know better.

 

Cheers,

 

J. Andrew Rogers

 

 

 

---

agi

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Re: RE: FW: [agi] A paper that actually does solve the problem of consciousness

2008-12-02 Thread Hector Zenil
Hi Ed,

I am glad you have read the paper with such detail. You have
summarized quite well what it is about. I have no objection to the
points you make. It is only important to bear in mind that the paper
is about studying the possible computational power of the mind by
using the model of an artificial neural network. The question of
whether the mind is something else was not in the scope of that paper.
Assuming that the brain is a neural network we wanted to see what
features may take the neural network to achieve certain computational
power. We found, effectively, that either an encoding at the level of
the neuron (space, e.g. a natural encoding of a real number) or at the
neuron firing time. In both cases, to reach any computational power
beyond the Turing limit one would need either infinite or
infinitesimal space or time, assuming finite brain resources (number
of neurons and connections). My personal opinion (perhaps not
reflected in the paper itself) is that  such super capabilities does
not really hold, but the idea was to explore all the possibilities.

It is also very important to highlight, that such a power beyond the
computational power of Turing machines, does not require to
communicate, encode or decode any infinite value in order to compute a
non-computable function. It suffices to posit a natural encoding
either in the space or time in which the neurons work, and then make
questions in the form of characteristic functions encoding a
non-computable function. A characteristic function is one of the type
yes or no, so it only needs to transmit a finite amount of
information even if the answer required an infinite amount. So a set
of neurons may be capable of taking advantage of infinitesimals, and
answer yes or no to a non-computable function, even if I think that is
not the case it might be. That seems perhaps compatible with your
ideas about consciousness.

- Hector



On Tue, Dec 2, 2008 at 5:31 PM, Ed Porter [EMAIL PROTECTED] wrote:
 Hector,



 I skimmed your paper linked to in the post below.



 From my quick read it appears the only meaningful way it suggests a brain
 might be infinite was that since the brain used analogue values --- such as
 synaptic weights, or variable time intervals between spikes (and presumably
 since those analogue values would be determined by so many factors, each of
 which might modify their values slightly) --- the brain would be capable of
 computing many values each of which could arguably have infinite gradation
 in value.  So arguably its computations would be infinitely complex, in
 terms of the number of bits that would be required to describe them exactly.



 If course, it is not clear the universe itself supports infinitely fine
 gradation in values, which your paper admits is a questions.



 But even if the universe and the brain did support infinitely fine
 gradations in value, it is not clear computing with weights or signals
 capable of such infinitely fine gradations, necessarily yields computing
 that is meaningfully much more powerful, in terms of the sense of experience
 it can provide --- unless it has mechanisms that can meaningfully encode and
 decode much more information in such infinite variability.  You can only
 communicate over a very broad bandwidth communication medium as much as your
 transmitting and receiving mechanisms can encode and decode.



 For example, it is not clear a high definition TV capable of providing an
 infinite degree of variation in its colors, rather than only say 8, 16, 32,
 or 64 bits for each primary color, would provide any significantly greater
 degree of visual experience, even though one could claim the TV was sending
 out a signal of infinite complexity.



 I have read and been told by neural net designers that typical neural nets
 operate by dividing a high dimensional space into subspaces.  If this is
 true, then it is not clear that merely increasing the resolution at which
 such neural nets were computed, say beyond 64 bits, would change the number
 of subspaces that could be represented with a given number, say 100 billion,
 of nodes --- or that the minute changes in boundaries, or the occasional
 difference in tipping points that might result from infinite precision math,
 if it were possible, would be of that great a significance with regard to
 the overall capabilities of the system.  Thus, it is not clear that infinite
 resolution in neural weights and spike timing would greatly increase the
 meaningful (i.e., having grounding), rememberable, and actionable number of
 states the brain could represent.



 My belief --- and it is only a belief at this point in time --- is that the
 complexity a finite human brain could deliver is so great --- arguably equal
 to 1000 millions simultaneous DVD signals that interact with each other and
 memories --- that such a finite computation is enough to create the sense of
 experiential awareness we humans call consciousness.



 I am not aware of 

Re: RE: FW: [agi] A paper that actually does solve the problem of consciousness

2008-12-02 Thread Hector Zenil
Suppose that the gravitational constant is a non-computable number (it
might be, we don't know because as you say, we can only measure with
finite precision). Planets compute G as part of the law of gravitation
that rules their movement (you can of course object, that G is part of
a model that has been replaced by a another theory --General
Relativity-- and that neither one nor the other can be taken as full
and ultimate descriptions, but then I can change my argument to
whichever theory turns out to be the ultimate and true, even if we
never have access to it). Planets don't necessarily have to encode and
decode G, because it is given by granted, it is already naturally
encoded, they just follow the law in which it is given. The same, if a
non-computable number is already encoded in the brain, to compute with
such a real number the neuron would not need necessarily to encode or
decode the number. The neuron could then carry out a non-computable
computation (no measurement involved) and then give a no/yes
answer, just as a planet would hit or not another a planet by
following a non-computable gravitational constant.

But even in the case of need of measurement, it is only the most
significant part relevant to the computation that is performing that
is actually needed, since we are not interested in infinitely long
computations, that's also why, even when noise is of course a
practical problem, it is not an infrangible one. Now you can argue
that if only a finite (the most significant part) of the real number
is necessary to perform the computation, it would have sufficed to
store only a rational (computable) number since the beginning, rather
than a non-computable number. However, it is this potential access to
an infinite number that makes the system more powerful and not the
fact of be able to infinite precision measurements.

For more about these results you can take a look at Hava Siegelman's
work on Recurrent Analogical Neural Networks, which more than a work
on hypercomputation, I consider it a work on computational complexity
with pretty nice scientific results. On the other hand, I would say
that I may have many objections, mainly those pointed out by Davis in
his paper The Myth of Hypercomputation, which I also recommend you in
case you haven't read it. The only thing that from my point of view
Davis is trivializing is that whether there are non-computable numbers
in nature, taking advantage of their computational power, is an open
question, so it is still plausible.


On Wed, Dec 3, 2008 at 12:17 AM, Ed Porter [EMAIL PROTECTED] wrote:
 Hector,



 Thank you for your reply saying my description of your paper was much better
 than clueless.



 I am, however, clueless about how to interpret the second paragraph of your
 reply (all of which is copied below).



 For example, I am confused by your statements that:



 such a power beyond the computational power of Turing machines, does not
 require to communicate, encode or decode any infinite value in order to
 compute a non-computable function.



 considering that you then state:



 A characteristic function is one of the type yes or no, so it only
 needs to transmit a finite amount of information even if the answer required
 an infinite amount.



 What I don't understand is how a system



 does not require to communicate, encode or decode any infinite value in
 order to compute a non-computable function



 if its



 answer required an infinite amount [of information].



 It seems like the computing of an infinite amount of information was
 required somewhere, even if not in communicating the answer, so how does
 such a system not¸ as you said



 require to communicate, encode or decode any infinite value in order to
 compute a non-computable function



 even if only internally?



 Ed Porter





 -Original Message-
 From: Hector Zenil [mailto:[EMAIL PROTECTED]
 Sent: Tuesday, December 02, 2008 5:14 PM
 To: agi@v2.listbox.com
 Subject: Re:  RE: FW: [agi] A paper that actually does solve the problem
 of consciousness



 Hi Ed,



 I am glad you have read the paper with such detail. You have

 summarized quite well what it is about. I have no objection to the

 points you make. It is only important to bear in mind that the paper

 is about studying the possible computational power of the mind by

 using the model of an artificial neural network. The question of

 whether the mind is something else was not in the scope of that paper.

 Assuming that the brain is a neural network we wanted to see what

 features may take the neural network to achieve certain computational

 power. We found, effectively, that either an encoding at the level of

 the neuron (space, e.g. a natural encoding of a real number) or at the

 neuron firing time. In both cases, to reach any computational power

 beyond the Turing limit one would need either infinite or

 infinitesimal space or time, assuming finite brain resources (number

 of neurons and 

Re: RE: FW: [agi] A paper that actually does solve the problem of consciousness

2008-12-02 Thread Ben Goertzel
Hector,

Yes, it's possible that the brain uses uncomputable neurons to predict
uncomputable physical dynamics in the observed world

However, even if this is the case, **there is no possible way to
verify or falsify this hypothesis using science**, if science is
construed to involve evaluation of theories based on finite sets of
finite-precision data ...

So, this hypothesis has much the same status as the hypothesis that
the brain has an ineffable soul inside it, which can never be
measured.  This is certainly possible too, but we have no way to
verify or falsify it using science.

You may say the hypothesis of neural hypercomputing valid in the sense
that it helps guide you to interesting, falsifiable theories.  That's
fine.  But, then you  must admit that the hypothesis of souls could be
valid in the same sense, right?  It could guide some other people to
interesting, falsifiable theories -- even though, in itself, it stands
outside the domain of scientific validation/falsification.

It is possible that the essence of intelligence lies in something that
can't be scientifically addressed.  If so, no matter how many
finite-precision measurements of the brain we record and analyze,
we'll never get at the core of intelligence that way.  So, in that
hypothesis, if we succeed at making AGI, it will be due to some
non-scientific, non-computable force somehow guiding us.  However, I
doubt this is the case.  I strongly suspect the essence of
intelligence lies in properties of systems that can be measured, and
therefore *not* in hypercomputing.

Consciousness is another issue -- I do happen to think there is an
aspect of consciousness that, like hypercomputing, lies outside the
realm of science.  However, I don't fall for the argument that X and Y
must be equal just because they're both outside the realm of
science...

-- Ben G

On Tue, Dec 2, 2008 at 6:54 PM, Hector Zenil [EMAIL PROTECTED] wrote:
 Suppose that the gravitational constant is a non-computable number (it
 might be, we don't know because as you say, we can only measure with
 finite precision). Planets compute G as part of the law of gravitation
 that rules their movement (you can of course object, that G is part of
 a model that has been replaced by a another theory --General
 Relativity-- and that neither one nor the other can be taken as full
 and ultimate descriptions, but then I can change my argument to
 whichever theory turns out to be the ultimate and true, even if we
 never have access to it). Planets don't necessarily have to encode and
 decode G, because it is given by granted, it is already naturally
 encoded, they just follow the law in which it is given. The same, if a
 non-computable number is already encoded in the brain, to compute with
 such a real number the neuron would not need necessarily to encode or
 decode the number. The neuron could then carry out a non-computable
 computation (no measurement involved) and then give a no/yes
 answer, just as a planet would hit or not another a planet by
 following a non-computable gravitational constant.

 But even in the case of need of measurement, it is only the most
 significant part relevant to the computation that is performing that
 is actually needed, since we are not interested in infinitely long
 computations, that's also why, even when noise is of course a
 practical problem, it is not an infrangible one. Now you can argue
 that if only a finite (the most significant part) of the real number
 is necessary to perform the computation, it would have sufficed to
 store only a rational (computable) number since the beginning, rather
 than a non-computable number. However, it is this potential access to
 an infinite number that makes the system more powerful and not the
 fact of be able to infinite precision measurements.

 For more about these results you can take a look at Hava Siegelman's
 work on Recurrent Analogical Neural Networks, which more than a work
 on hypercomputation, I consider it a work on computational complexity
 with pretty nice scientific results. On the other hand, I would say
 that I may have many objections, mainly those pointed out by Davis in
 his paper The Myth of Hypercomputation, which I also recommend you in
 case you haven't read it. The only thing that from my point of view
 Davis is trivializing is that whether there are non-computable numbers
 in nature, taking advantage of their computational power, is an open
 question, so it is still plausible.


 On Wed, Dec 3, 2008 at 12:17 AM, Ed Porter [EMAIL PROTECTED] wrote:
 Hector,



 Thank you for your reply saying my description of your paper was much better
 than clueless.



 I am, however, clueless about how to interpret the second paragraph of your
 reply (all of which is copied below).



 For example, I am confused by your statements that:



 such a power beyond the computational power of Turing machines, does not
 require to communicate, encode or decode any infinite value in order to
 compute a 

Re: RE: FW: [agi] A paper that actually does solve the problem of consciousness

2008-12-02 Thread Hector Zenil
On Wed, Dec 3, 2008 at 1:51 AM, Ben Goertzel [EMAIL PROTECTED] wrote:
 Hector,

 Yes, it's possible that the brain uses uncomputable neurons to predict
 uncomputable physical dynamics in the observed world

 However, even if this is the case, **there is no possible way to
 verify or falsify this hypothesis using science**, if science is
 construed to involve evaluation of theories based on finite sets of
 finite-precision data ...

 So, this hypothesis has much the same status as the hypothesis that
 the brain has an ineffable soul inside it, which can never be
 measured.  This is certainly possible too, but we have no way to
 verify or falsify it using science.

 You may say the hypothesis of neural hypercomputing valid in the sense
 that it helps guide you to interesting, falsifiable theories.  That's
 fine.  But, then you  must admit that the hypothesis of souls could be
 valid in the same sense, right?  It could guide some other people to
 interesting, falsifiable theories -- even though, in itself, it stands
 outside the domain of scientific validation/falsification.


I understand the point, but I insist that it is not that trivial. You
could  apply the same argument against the automated proof of the
four-color theorem. Since there is no human capable of verifying it in
a lifetime (and even if a group of people try to verify it, no single
mind would ever have the intellectual capacity to get convinced by its
own), then the four-color proof is not science... and me, I am pretty
convinced that it is, including computer science and proof theory.
Actually I think that that kind of proofs and approaches to science
will happen more and more often, as we can already witness.

Just as the four-color theorem was proved and then verified by another
computer program, the outcome of a hypercomputer could be verified by
another hypercomputer. And just as for the finite case of the
four-color theorem, you would not be able to verify it but by trusting
on another system.

I am not hypercomputationalist, all the opposite! but  closed
definitions about what is science and people trying to have the good
definition of science, look to me pretty narrow. However, if I were
director of a computer science department, I wouldn't probably put any
money into hypercomputationism research. But even if it is just
philosophy, that doesn't make it less valid or less plausible. On the
other hand, the scientific arguments against it often sound very
weak, perhaps just as weak as the arguments in favor, but sometimes
even weaker.

What if a hypercomputer provides you, each time you ask, the answer to
whether a Turing machine halts. You effectively cannot verify that it
works for all cases (it is of course a problem of induction very
spread in science in general), but I am pretty sure you would believe
that it is what it says it is, if for any Turing machine, as
complicated as you may want, it tells you whether it halts and when
(you could argue for example that it is just simulating the Turing
machine extremely fast, but let's suppose it does it instantaneously).
How this prediction power would make it less science than, let's say,
quantum mechanics? To me, that would be much more scientific than
people doing string theory...

The same about noise. People use to think about it as a constraint,
but some of recent results in computational complexity and serious
interpretations suggest that actually, as I was telling before, if it
nature is indeterministic, noise is actually a computation carried out
by something more powerful (even if it seems meaningful) than a
universal Turing machine, so by itself, rather than subtracting
computational power, it might add up! One would need of course to
conciliate this with thermodynamics, but there are actually some
interpretations that would easily allow this interpretation of noise.
However I don't think I will take that thread of discussion.

Together with the bibliography I've provided before, I recommend also
a very recent paper by Karl Svozil in the Complex Systems journal
about whether hypercomputation is falsifiable.


 It is possible that the essence of intelligence lies in something that
 can't be scientifically addressed.  If so, no matter how many
 finite-precision measurements of the brain we record and analyze,
 we'll never get at the core of intelligence that way.  So, in that
 hypothesis, if we succeed at making AGI, it will be due to some
 non-scientific, non-computable force somehow guiding us.  However, I
 doubt this is the case.  I strongly suspect the essence of
 intelligence lies in properties of systems that can be measured, and
 therefore *not* in hypercomputing.

 Consciousness is another issue -- I do happen to think there is an
 aspect of consciousness that, like hypercomputing, lies outside the
 realm of science.  However, I don't fall for the argument that X and Y
 must be equal just because they're both outside the realm of
 science...

 -- Ben G

 On Tue, Dec 2, 

Re: RE: FW: [agi] A paper that actually does solve the problem of consciousness

2008-12-02 Thread Ben Goertzel
Hi Hector,

 You may say the hypothesis of neural hypercomputing valid in the sense
 that it helps guide you to interesting, falsifiable theories.  That's
 fine.  But, then you  must admit that the hypothesis of souls could be
 valid in the same sense, right?  It could guide some other people to
 interesting, falsifiable theories -- even though, in itself, it stands
 outside the domain of scientific validation/falsification.


 I understand the point, but I insist that it is not that trivial. You
 could  apply the same argument against the automated proof of the
 four-color theorem. Since there is no human capable of verifying it in
 a lifetime (and even if a group of people try to verify it, no single
 mind would ever have the intellectual capacity to get convinced by its
 own), then the four-color proof is not science...

So, the distinction here is that

-- in one case, **no possible finite set of observations** can verify or
falsify the hypothesis at hand [hypercomputing]

-- in the other case, some finite set of observations could verify or
falsify the hypothesis at hand ... but this observation set wouldn't
fit into the mind of a certain observer O [four color theorem]

So, to simplify a bit, do I define X has direct scientific meaning as

I can personally falsify X

or as

Some being could potentially falsify X; and I can use science
to distinguish those being capable of falsifying X from those
that are incapable

??

If the former, then the four color theorem isn't human science

If the latter, it is...

I choose the latter...

ben


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Re: RE: FW: [agi] A paper that actually does solve the problem of consciousness

2008-12-01 Thread Ben Goertzel
We cannot
 ask Feynman, but I actually asked Deutsch. He does not only think QM
 is our most basic physical reality (he thinks math and computer
 science lie in quantum mechanics), but he even takes quite seriously
 his theory of parallel universes! and he is not alone. Speaking by
 myself, I would agree with you, but I think we would need to
 relativize the concept of agreement. I don't think QM is just another
 model of merely mathematical value to make finite predictions. I think
 physical models say something about our physical reality. If you deny
 QM as part of our physical reality then I guess you deny any other
 physical model. I wonder then what is left to you. You perhaps would
 embrace total skepticism, perhaps even solipsism. Current trends have
 moved from there to a more relativized positions, where models are
 considered so, models, but still with some value as part of our actual
 physical reality (just as Newtonian physics is not just completely
 wrong after General Relativity since it still describes a huge part of
 our physical reality).


Well, I don't embrace solipsism, but that is really a philosophic and
personal rather than scientific matter ...

 and, I'm not going talk here about what is,
which IMO is not a matter for science ... but merely about what science
can tell us.

And, science cannot tell us whether QM or some empirically-equivalent,
wholly randomness-free theory is the right one...

ben g


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Re: RE: FW: [agi] A paper that actually does solve the problem of consciousness

2008-12-01 Thread Philip Hunt
2008/12/1 Ben Goertzel [EMAIL PROTECTED]:

 And, science cannot tell us whether QM or some empirically-equivalent,
 wholly randomness-free theory is the right one...

If two theories give identical predictions under all circumstances
about how the real world behaves, then they are not two separate
theories, they are merely rewordings of the same theory. And choosing
between them is arbitrary; you may prefer one to the other because
human minds can visualise it more easily, or it's easier to calculate,
or you have an aethetic preference for it.

-- 
Philip Hunt, [EMAIL PROTECTED]
Please avoid sending me Word or PowerPoint attachments.
See http://www.gnu.org/philosophy/no-word-attachments.html


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Re: RE: FW: [agi] A paper that actually does solve the problem of consciousness

2008-12-01 Thread Ben Goertzel
 If two theories give identical predictions under all circumstances
 about how the real world behaves, then they are not two separate
 theories, they are merely rewordings of the same theory. And choosing
 between them is arbitrary; you may prefer one to the other because
 human minds can visualise it more easily, or it's easier to calculate,
 or you have an aethetic preference for it.

 --
 Philip Hunt, [EMAIL PROTECTED]



However, the two theories may still have very different consequences
**within the minds of the community of scientists** ...

Even though T1 and T2 are empirically equivalent in their predictions,
T1 might have a tendency to lead a certain community of scientists
in better directions, in terms of creating new theories later on

However, empirically validating this property of T1 is another question ...
which leads one to the topic of scientific theories about the sociological
consequences of scientific theories ;-)

ben g


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Re: RE: FW: [agi] A paper that actually does solve the problem of consciousness

2008-11-30 Thread Ben Goertzel
 But quantum theory does appear to be directly related to limits of the
 computations of physical reality.  The uncertainty theory and the
 quantization of quantum states are limitations on what can be computed by
 physical reality.

Not really.  They're limitations on what  measurements of physical
reality can be simultaneously made.

Quantum systems can compute *exactly* the class of Turing computable
functions ... this has been proved according to standard quantum
mechanics math.  however, there are some things they can compute
faster than any Turing machine, in the average case but not the worst
case.

 But, I am old fashioned enough to be more interested in things about the
 brain and AGI that are supported by what would traditionally be considered
 scientific evidence or by what can be reasoned or designed from such
 evidence.

 If there is any thing that would fit under those headings to support the
 notion of the brain either being infinite, or being an antenna that receives
 decodable information from some infinite-information-content source, I would
 love to hear it.

the key point of the blog post you didn't fully grok, was a careful
argument that (under certain, seemingly reasonable assumptions)
science can never provide evidence in favor of infinite mechanisms...

ben g


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Re: RE: FW: [agi] A paper that actually does solve the problem of consciousness

2008-11-30 Thread Trent Waddington
On Mon, Dec 1, 2008 at 11:19 AM, Ed Porter [EMAIL PROTECTED] wrote:
 You said QUANTUM THEORY REALLY HAS NOTHING DIRECTLY TO DO WITH
 UNCOMPUTABILITY.

Please don't quote people using this style, it hurts my eyes.

 But quantum theory does appear to be directly related to limits of the
 computations of physical reality.  The uncertainty theory and the
 quantization of quantum states are limitations on what can be computed by
 physical reality.

I don't even know what you're saying here.  Maybe you're trying to say
that it takes a really big computer to compute a very small box of
physical reality.. which is true.. I just don't know why you would be
saying that.

 You said  IT IS CERTAINLY THINKABLE THAT THE BRAIN IS INFINITE NOT FINITE
 IN ITS INFORMATION CONTENT, OR THAT IT'S A SORT OF ANTENNA THAT RECEIVES
 INFORMATION FROM SOME INFINITE-INFORMATION-CONTENT SOURCE 

 This certainly is thinkable.  And that is a non-trivial statement.  We
 should never forget that our concepts of reality could be nothing but
 illusions, and that our understanding of science and physical reality may be
 much more partial and flawed than we think.

It's also completely unscientific.  You might as well say that magic
pixies deliver your thoughts from big invisible bucket made of gold.

 But, I am old fashioned enough to be more interested in things about the
 brain and AGI that are supported by what would traditionally be considered
 scientific evidence or by what can be reasoned or designed from such
 evidence.

So why are you entertaining notions of magic antennas to God?

 If there is any thing that would fit under those headings to support the
 notion of the brain either being infinite, or being an antenna that receives
 decodable information from some infinite-information-content source, I would
 love to hear it.

I wouldn't.  It's untestable non-sense.

Trent


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RE: RE: FW: [agi] A paper that actually does solve the problem of consciousness

2008-11-30 Thread Ed Porter
Regarding the uncertainty principal, Wikipedia says:

 

In quantum physics, the Heisenberg uncertainty principle states that the
values of certain pairs of conjugate variables (position and momentum, for
instance) cannot both be known with arbitrary precision. That is, the more
precisely one variable is known, the less precisely the other is known. THIS
IS NOT A STATEMENT ABOUT THE LIMITATIONS OF A RESEARCHER'S ABILITY TO
MEASURE PARTICULAR QUANTITIES OF A SYSTEM, BUT RATHER ABOUT THE NATURE OF
THE SYSTEM ITSELF. (emphasis added.)

 

I am sure you know more about quantum mechanics than I do.  But I have heard
many say the uncertainty controls limits not just on scientific measurement,
but the amount of information different parts of reality can have about each
other when computing in response to each other.  Perhaps such theories are
wrong, but they are not without support in the field.

 

With regard to the statement science can never provide evidence in favor of
infinite mechanisms I though you were saying there was no way the human
mind could fully represent or fully understand an infinite mechanism ---
which I agree with.  

 

You were correct in thinking that I did not grok that you were implying this
means if an infinite mechanism exited there could be no evidence in favor of
it infinity.  

 

In fact, it is not clear that this is the case, if you use provide
evidence considerably more loosely than provide proof for.  Until the
advent of quantum mechanics and/or the theory of the expanding universe,
based in part on observations and in part intuitions derived from them, many
people felt the universe was infinitely continuous and/or of infinite extent
in space and time.  I agree you would probably never be able to prove
infinite realities, but the mind is capable of conceiving of them, and of
seeing evidence that might suggest to some their existence, such as was
suggested to Einstein, who for many years I have been told believed in a
universe that was infinite in time.

 

Ed Porter

 

-Original Message-
From: Ben Goertzel [mailto:[EMAIL PROTECTED] 
Sent: Sunday, November 30, 2008 9:09 PM
To: agi@v2.listbox.com
Subject: Re:  RE: FW: [agi] A paper that actually does solve the problem
of consciousness

 

 But quantum theory does appear to be directly related to limits of the

 computations of physical reality.  The uncertainty theory and the

 quantization of quantum states are limitations on what can be computed by

 physical reality.

 

Not really.  They're limitations on what  measurements of physical

reality can be simultaneously made.

 

Quantum systems can compute *exactly* the class of Turing computable

functions ... this has been proved according to standard quantum

mechanics math.  however, there are some things they can compute

faster than any Turing machine, in the average case but not the worst

case.

 

 But, I am old fashioned enough to be more interested in things about the

 brain and AGI that are supported by what would traditionally be considered

 scientific evidence or by what can be reasoned or designed from such

 evidence.



 If there is any thing that would fit under those headings to support the

 notion of the brain either being infinite, or being an antenna that
receives

 decodable information from some infinite-information-content source, I
would

 love to hear it.

 

the key point of the blog post you didn't fully grok, was a careful

argument that (under certain, seemingly reasonable assumptions)

science can never provide evidence in favor of infinite mechanisms...

 

ben g

 

 

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Re: RE: FW: [agi] A paper that actually does solve the problem of consciousness

2008-11-30 Thread Ben Goertzel
HI,

 In quantum physics, the Heisenberg uncertainty principle states that the
 values of certain pairs of conjugate variables (position and momentum, for
 instance) cannot both be known with arbitrary precision. That is, the more
 precisely one variable is known, the less precisely the other is known. THIS
 IS NOT A STATEMENT ABOUT THE LIMITATIONS OF A RESEARCHER'S ABILITY TO
 MEASURE PARTICULAR QUANTITIES OF A SYSTEM, BUT RATHER ABOUT THE NATURE OF
 THE SYSTEM ITSELF. (emphasis added.)



 I am sure you know more about quantum mechanics than I do.  But I have heard
 many say the uncertainty controls limits not just on scientific measurement,
 but the amount of information different parts of reality can have about each
 other when computing in response to each other.  Perhaps such theories are
 wrong, but they are not without support in the field.


Yeah, the interpretation of quantum theory is certainly contentious
and there are multiple conflicting views...

However, regarding quantum computing, it is universally agreed that
the class of quantum computable functions is identical to the class of
classically Turing computable functions.


 With regard to the statement science can never provide evidence in favor of 
 infinite mechanisms I
 though you were saying there was no way the human mind could fully represent 
 or fully understand
 an infinite mechanism --- which I agree with.

No, I was not saying that there was no way the human mind could fully
represent or fully understand
an infinite mechanism

What I argued is that **scientific data** can never convincingly be
used to argue in favor of an infinite mechanism, due to the
intrinsically finite nature of scientific data.

This says **nothing** about any intrinsic limitations on the human
mind ... unless one adds the axiom that the human mind must be
entirely comprehensible via science ... which seems an unnecessary
assumption to make

 In fact, it is not clear that this is the case, if you use provide
 evidence considerably more loosely than provide proof for.  Until the
 advent of quantum mechanics and/or the theory of the expanding universe,
 based in part on observations and in part intuitions derived from them, many
 people felt the universe was infinitely continuous and/or of infinite extent
 in space and time.  I agree you would probably never be able to prove
 infinite realities, but the mind is capable of conceiving of them, and of
 seeing evidence that might suggest to some their existence, such as was
 suggested to Einstein, who for many years I have been told believed in a
 universe that was infinite in time.

well, my argument implies that you can never use science to prove that
the mind is capable of conceiving of infinite realities

This may be true in some other sense, but I argue, not in a scientific sense...

-- Ben G


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Re: RE: FW: [agi] A paper that actually does solve the problem of consciousness

2008-11-30 Thread Ben Goertzel
OTOH, there is no possible real-world test to distinguish a true
random sequence from a high-algorithmic-information quasi-random
sequence

So I don't find this argument very convincing...

On Sun, Nov 30, 2008 at 10:42 PM, Hector Zenil [EMAIL PROTECTED] wrote:
 On Mon, Dec 1, 2008 at 3:09 AM, Ben Goertzel [EMAIL PROTECTED] wrote:
 But quantum theory does appear to be directly related to limits of the
 computations of physical reality.  The uncertainty theory and the
 quantization of quantum states are limitations on what can be computed by
 physical reality.

 Not really.  They're limitations on what  measurements of physical
 reality can be simultaneously made.

 Quantum systems can compute *exactly* the class of Turing computable
 functions ... this has been proved according to standard quantum
 mechanics math.  however, there are some things they can compute
 faster than any Turing machine, in the average case but not the worst
 case.


 Sorry, I am not really following the discussion but I just read that
 there is some misinterpretation here. It is the standard model of
 quantum computation that effectively computes exactly the Turing
 computable functions, but that was almost hand tailored to do so,
 perhaps because adding to the theory an assumption of continuum
 measurability was already too much (i.e. distinguishing infinitely
 close quantum states). But that is far from the claim that quantum
 systems can compute exactly the class of Turing computable functions.
 Actually the Hilbert space and the superposition of particles in an
 infinite number of states would suggest exactly the opposite. While
 the standard model of quantum computation only considers a
 superposition of 2 states (the so-called qubit, capable of
 entanglement in 0 and 1). But even if you stick to the standard model
 of quantum computation, the proof that it computes exactly the set
 of recursive functions [Feynman, Deutsch] can be put in jeopardy very
 easy : Turing machines are unable to produce non-deterministic
 randomness, something that quantum computers do as an intrinsic
 property of quantum mechanics (not only because of measure limitations
 of the kind of the Heisenberg principle but by quantum non-locality,
 i.e. the violation of Bell's theorem). I just exhibited a non-Turing
 computable function that standard quantum computers compute...
 [Calude, Casti]


 But, I am old fashioned enough to be more interested in things about the
 brain and AGI that are supported by what would traditionally be considered
 scientific evidence or by what can be reasoned or designed from such
 evidence.

 If there is any thing that would fit under those headings to support the
 notion of the brain either being infinite, or being an antenna that receives
 decodable information from some infinite-information-content source, I would
 love to hear it.


 You and/or other people might be interested in a paper of mine
 published some time ago on the possible computational power of the
 human mind and the way to encode infinite information in the brain:

 http://arxiv.org/abs/cs/0605065


 the key point of the blog post you didn't fully grok, was a careful
 argument that (under certain, seemingly reasonable assumptions)
 science can never provide evidence in favor of infinite mechanisms...

 ben g


 ---
 agi
 Archives: https://www.listbox.com/member/archive/303/=now
 RSS Feed: https://www.listbox.com/member/archive/rss/303/
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 --
 Hector Zenilhttp://www.mathrix.org


 ---
 agi
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-- 
Ben Goertzel, PhD
CEO, Novamente LLC and Biomind LLC
Director of Research, SIAI
[EMAIL PROTECTED]

I intend to live forever, or die trying.
-- Groucho Marx


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Re: RE: FW: [agi] A paper that actually does solve the problem of consciousness

2008-11-30 Thread Hector Zenil
On Mon, Dec 1, 2008 at 3:09 AM, Ben Goertzel [EMAIL PROTECTED] wrote:
 But quantum theory does appear to be directly related to limits of the
 computations of physical reality.  The uncertainty theory and the
 quantization of quantum states are limitations on what can be computed by
 physical reality.

 Not really.  They're limitations on what  measurements of physical
 reality can be simultaneously made.

 Quantum systems can compute *exactly* the class of Turing computable
 functions ... this has been proved according to standard quantum
 mechanics math.  however, there are some things they can compute
 faster than any Turing machine, in the average case but not the worst
 case.


Sorry, I am not really following the discussion but I just read that
there is some misinterpretation here. It is the standard model of
quantum computation that effectively computes exactly the Turing
computable functions, but that was almost hand tailored to do so,
perhaps because adding to the theory an assumption of continuum
measurability was already too much (i.e. distinguishing infinitely
close quantum states). But that is far from the claim that quantum
systems can compute exactly the class of Turing computable functions.
Actually the Hilbert space and the superposition of particles in an
infinite number of states would suggest exactly the opposite. While
the standard model of quantum computation only considers a
superposition of 2 states (the so-called qubit, capable of
entanglement in 0 and 1). But even if you stick to the standard model
of quantum computation, the proof that it computes exactly the set
of recursive functions [Feynman, Deutsch] can be put in jeopardy very
easy : Turing machines are unable to produce non-deterministic
randomness, something that quantum computers do as an intrinsic
property of quantum mechanics (not only because of measure limitations
of the kind of the Heisenberg principle but by quantum non-locality,
i.e. the violation of Bell's theorem). I just exhibited a non-Turing
computable function that standard quantum computers compute...
[Calude, Casti]


 But, I am old fashioned enough to be more interested in things about the
 brain and AGI that are supported by what would traditionally be considered
 scientific evidence or by what can be reasoned or designed from such
 evidence.

 If there is any thing that would fit under those headings to support the
 notion of the brain either being infinite, or being an antenna that receives
 decodable information from some infinite-information-content source, I would
 love to hear it.


You and/or other people might be interested in a paper of mine
published some time ago on the possible computational power of the
human mind and the way to encode infinite information in the brain:

http://arxiv.org/abs/cs/0605065


 the key point of the blog post you didn't fully grok, was a careful
 argument that (under certain, seemingly reasonable assumptions)
 science can never provide evidence in favor of infinite mechanisms...

 ben g


 ---
 agi
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 RSS Feed: https://www.listbox.com/member/archive/rss/303/
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-- 
Hector Zenilhttp://www.mathrix.org


---
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Re: RE: FW: [agi] A paper that actually does solve the problem of consciousness

2008-11-30 Thread Hector Zenil
On Mon, Dec 1, 2008 at 4:44 AM, Ben Goertzel [EMAIL PROTECTED] wrote:
 OTOH, there is no possible real-world test to distinguish a true
 random sequence from a high-algorithmic-information quasi-random
 sequence

I know, but the point is not whether we can distinguish it, but that
quantum mechanics actually predicts to be intrinsically capable of
non-deterministic randomness, while for a Turing machine that is
impossible by definition. I find quite convincing and interesting the
way in which the mathematical proof of the standard model of quantum
computation as Turing computable has been put in jeopardy by physical
reality.


 So I don't find this argument very convincing...

 On Sun, Nov 30, 2008 at 10:42 PM, Hector Zenil [EMAIL PROTECTED] wrote:
 On Mon, Dec 1, 2008 at 3:09 AM, Ben Goertzel [EMAIL PROTECTED] wrote:
 But quantum theory does appear to be directly related to limits of the
 computations of physical reality.  The uncertainty theory and the
 quantization of quantum states are limitations on what can be computed by
 physical reality.

 Not really.  They're limitations on what  measurements of physical
 reality can be simultaneously made.

 Quantum systems can compute *exactly* the class of Turing computable
 functions ... this has been proved according to standard quantum
 mechanics math.  however, there are some things they can compute
 faster than any Turing machine, in the average case but not the worst
 case.


 Sorry, I am not really following the discussion but I just read that
 there is some misinterpretation here. It is the standard model of
 quantum computation that effectively computes exactly the Turing
 computable functions, but that was almost hand tailored to do so,
 perhaps because adding to the theory an assumption of continuum
 measurability was already too much (i.e. distinguishing infinitely
 close quantum states). But that is far from the claim that quantum
 systems can compute exactly the class of Turing computable functions.
 Actually the Hilbert space and the superposition of particles in an
 infinite number of states would suggest exactly the opposite. While
 the standard model of quantum computation only considers a
 superposition of 2 states (the so-called qubit, capable of
 entanglement in 0 and 1). But even if you stick to the standard model
 of quantum computation, the proof that it computes exactly the set
 of recursive functions [Feynman, Deutsch] can be put in jeopardy very
 easy : Turing machines are unable to produce non-deterministic
 randomness, something that quantum computers do as an intrinsic
 property of quantum mechanics (not only because of measure limitations
 of the kind of the Heisenberg principle but by quantum non-locality,
 i.e. the violation of Bell's theorem). I just exhibited a non-Turing
 computable function that standard quantum computers compute...
 [Calude, Casti]


 But, I am old fashioned enough to be more interested in things about the
 brain and AGI that are supported by what would traditionally be considered
 scientific evidence or by what can be reasoned or designed from such
 evidence.

 If there is any thing that would fit under those headings to support the
 notion of the brain either being infinite, or being an antenna that 
 receives
 decodable information from some infinite-information-content source, I 
 would
 love to hear it.


 You and/or other people might be interested in a paper of mine
 published some time ago on the possible computational power of the
 human mind and the way to encode infinite information in the brain:

 http://arxiv.org/abs/cs/0605065


 the key point of the blog post you didn't fully grok, was a careful
 argument that (under certain, seemingly reasonable assumptions)
 science can never provide evidence in favor of infinite mechanisms...

 ben g


 ---
 agi
 Archives: https://www.listbox.com/member/archive/303/=now
 RSS Feed: https://www.listbox.com/member/archive/rss/303/
 Modify Your Subscription: https://www.listbox.com/member/?;
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 --
 Hector Zenilhttp://www.mathrix.org


 ---
 agi
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 --
 Ben Goertzel, PhD
 CEO, Novamente LLC and Biomind LLC
 Director of Research, SIAI
 [EMAIL PROTECTED]

 I intend to live forever, or die trying.
 -- Groucho Marx


 ---
 agi
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-- 
Hector Zenilhttp://www.mathrix.org



Re: RE: FW: [agi] A paper that actually does solve the problem of consciousness

2008-11-30 Thread Hector Zenil
On Mon, Dec 1, 2008 at 4:53 AM, Hector Zenil [EMAIL PROTECTED] wrote:
 On Mon, Dec 1, 2008 at 4:44 AM, Ben Goertzel [EMAIL PROTECTED] wrote:
 OTOH, there is no possible real-world test to distinguish a true
 random sequence from a high-algorithmic-information quasi-random
 sequence

 I know, but the point is not whether we can distinguish it, but that
 quantum mechanics actually predicts to be intrinsically capable of
 non-deterministic randomness, while for a Turing machine that is
 impossible by definition. I find quite convincing and interesting the
 way in which the mathematical proof of the standard model of quantum
 computation as Turing computable has been put in jeopardy by physical
 reality.

or at least by a model of physical reality... =)  (a reality by the
way, that the authors of the mathematical proof believe in as the most
basic)



 So I don't find this argument very convincing...

 On Sun, Nov 30, 2008 at 10:42 PM, Hector Zenil [EMAIL PROTECTED] wrote:
 On Mon, Dec 1, 2008 at 3:09 AM, Ben Goertzel [EMAIL PROTECTED] wrote:
 But quantum theory does appear to be directly related to limits of the
 computations of physical reality.  The uncertainty theory and the
 quantization of quantum states are limitations on what can be computed by
 physical reality.

 Not really.  They're limitations on what  measurements of physical
 reality can be simultaneously made.

 Quantum systems can compute *exactly* the class of Turing computable
 functions ... this has been proved according to standard quantum
 mechanics math.  however, there are some things they can compute
 faster than any Turing machine, in the average case but not the worst
 case.


 Sorry, I am not really following the discussion but I just read that
 there is some misinterpretation here. It is the standard model of
 quantum computation that effectively computes exactly the Turing
 computable functions, but that was almost hand tailored to do so,
 perhaps because adding to the theory an assumption of continuum
 measurability was already too much (i.e. distinguishing infinitely
 close quantum states). But that is far from the claim that quantum
 systems can compute exactly the class of Turing computable functions.
 Actually the Hilbert space and the superposition of particles in an
 infinite number of states would suggest exactly the opposite. While
 the standard model of quantum computation only considers a
 superposition of 2 states (the so-called qubit, capable of
 entanglement in 0 and 1). But even if you stick to the standard model
 of quantum computation, the proof that it computes exactly the set
 of recursive functions [Feynman, Deutsch] can be put in jeopardy very
 easy : Turing machines are unable to produce non-deterministic
 randomness, something that quantum computers do as an intrinsic
 property of quantum mechanics (not only because of measure limitations
 of the kind of the Heisenberg principle but by quantum non-locality,
 i.e. the violation of Bell's theorem). I just exhibited a non-Turing
 computable function that standard quantum computers compute...
 [Calude, Casti]


 But, I am old fashioned enough to be more interested in things about the
 brain and AGI that are supported by what would traditionally be considered
 scientific evidence or by what can be reasoned or designed from such
 evidence.

 If there is any thing that would fit under those headings to support the
 notion of the brain either being infinite, or being an antenna that 
 receives
 decodable information from some infinite-information-content source, I 
 would
 love to hear it.


 You and/or other people might be interested in a paper of mine
 published some time ago on the possible computational power of the
 human mind and the way to encode infinite information in the brain:

 http://arxiv.org/abs/cs/0605065


 the key point of the blog post you didn't fully grok, was a careful
 argument that (under certain, seemingly reasonable assumptions)
 science can never provide evidence in favor of infinite mechanisms...

 ben g


 ---
 agi
 Archives: https://www.listbox.com/member/archive/303/=now
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 --
 Hector Zenilhttp://www.mathrix.org


 ---
 agi
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 --
 Ben Goertzel, PhD
 CEO, Novamente LLC and Biomind LLC
 Director of Research, SIAI
 [EMAIL PROTECTED]

 I intend to live forever, or die trying.
 -- Groucho Marx


 ---
 agi
 Archives: https://www.listbox.com/member/archive/303/=now
 RSS Feed: 

Re: RE: FW: [agi] A paper that actually does solve the problem of consciousness

2008-11-30 Thread Ben Goertzel
But I don't get your point at all, because the whole idea of
nondeterministic randomness has nothing to do with physical
reality... true random numbers are uncomputable entities which can
never be existed, and any finite series of observations can be modeled
equally well as the first N bits of an uncomputable series or of a
computable one...

ben g

On Sun, Nov 30, 2008 at 10:53 PM, Hector Zenil [EMAIL PROTECTED] wrote:
 On Mon, Dec 1, 2008 at 4:44 AM, Ben Goertzel [EMAIL PROTECTED] wrote:
 OTOH, there is no possible real-world test to distinguish a true
 random sequence from a high-algorithmic-information quasi-random
 sequence

 I know, but the point is not whether we can distinguish it, but that
 quantum mechanics actually predicts to be intrinsically capable of
 non-deterministic randomness, while for a Turing machine that is
 impossible by definition. I find quite convincing and interesting the
 way in which the mathematical proof of the standard model of quantum
 computation as Turing computable has been put in jeopardy by physical
 reality.


 So I don't find this argument very convincing...

 On Sun, Nov 30, 2008 at 10:42 PM, Hector Zenil [EMAIL PROTECTED] wrote:
 On Mon, Dec 1, 2008 at 3:09 AM, Ben Goertzel [EMAIL PROTECTED] wrote:
 But quantum theory does appear to be directly related to limits of the
 computations of physical reality.  The uncertainty theory and the
 quantization of quantum states are limitations on what can be computed by
 physical reality.

 Not really.  They're limitations on what  measurements of physical
 reality can be simultaneously made.

 Quantum systems can compute *exactly* the class of Turing computable
 functions ... this has been proved according to standard quantum
 mechanics math.  however, there are some things they can compute
 faster than any Turing machine, in the average case but not the worst
 case.


 Sorry, I am not really following the discussion but I just read that
 there is some misinterpretation here. It is the standard model of
 quantum computation that effectively computes exactly the Turing
 computable functions, but that was almost hand tailored to do so,
 perhaps because adding to the theory an assumption of continuum
 measurability was already too much (i.e. distinguishing infinitely
 close quantum states). But that is far from the claim that quantum
 systems can compute exactly the class of Turing computable functions.
 Actually the Hilbert space and the superposition of particles in an
 infinite number of states would suggest exactly the opposite. While
 the standard model of quantum computation only considers a
 superposition of 2 states (the so-called qubit, capable of
 entanglement in 0 and 1). But even if you stick to the standard model
 of quantum computation, the proof that it computes exactly the set
 of recursive functions [Feynman, Deutsch] can be put in jeopardy very
 easy : Turing machines are unable to produce non-deterministic
 randomness, something that quantum computers do as an intrinsic
 property of quantum mechanics (not only because of measure limitations
 of the kind of the Heisenberg principle but by quantum non-locality,
 i.e. the violation of Bell's theorem). I just exhibited a non-Turing
 computable function that standard quantum computers compute...
 [Calude, Casti]


 But, I am old fashioned enough to be more interested in things about the
 brain and AGI that are supported by what would traditionally be considered
 scientific evidence or by what can be reasoned or designed from such
 evidence.

 If there is any thing that would fit under those headings to support the
 notion of the brain either being infinite, or being an antenna that 
 receives
 decodable information from some infinite-information-content source, I 
 would
 love to hear it.


 You and/or other people might be interested in a paper of mine
 published some time ago on the possible computational power of the
 human mind and the way to encode infinite information in the brain:

 http://arxiv.org/abs/cs/0605065


 the key point of the blog post you didn't fully grok, was a careful
 argument that (under certain, seemingly reasonable assumptions)
 science can never provide evidence in favor of infinite mechanisms...

 ben g


 ---
 agi
 Archives: https://www.listbox.com/member/archive/303/=now
 RSS Feed: https://www.listbox.com/member/archive/rss/303/
 Modify Your Subscription: https://www.listbox.com/member/?;
 Powered by Listbox: http://www.listbox.com




 --
 Hector Zenilhttp://www.mathrix.org


 ---
 agi
 Archives: https://www.listbox.com/member/archive/303/=now
 RSS Feed: https://www.listbox.com/member/archive/rss/303/
 Modify Your Subscription: https://www.listbox.com/member/?;
 Powered by Listbox: http://www.listbox.com




 --
 Ben Goertzel, PhD
 CEO, Novamente LLC and Biomind LLC
 Director of Research, SIAI
 [EMAIL PROTECTED]

 I 

Re: RE: FW: [agi] A paper that actually does solve the problem of consciousness

2008-11-30 Thread Hector Zenil
On Mon, Dec 1, 2008 at 4:55 AM, Ben Goertzel [EMAIL PROTECTED] wrote:
 But I don't get your point at all, because the whole idea of
 nondeterministic randomness has nothing to do with physical
 reality...

It has all to do when it is about quantum mechanics. Quantum mechanics
is non-deterministic by nature. A quantum computer, even within the
standard model of quantum computation, could then take advantage of
this intrinsic property of the physical (quantum) reality (assuming
the model correct, as most physicists would).

 true random numbers are uncomputable entities which can
 never be existed, and any finite series of observations can be modeled
 equally well as the first N bits of an uncomputable series or of a
 computable one...

That's the point, that's what the classical theory of computability
would say (also making some assumptions, namely Church's thesis), but
again quantum mechanics says something else :

The fact that quantum computers are able of non-deterministic
randomness by definition and Turing machines are unable of
non-deterministic randomness also by definition seems incompatible
with the claim (or mathematical proof) that standard quantum computers
compute exactly the same functions than Turing machines, and that's
only when dealing with standard quantum computation, because
non-standard quantum computation is far from being proved to be
reduced to Turing-computable (modulo their speed-up).

Concerning the observations, you don't need to do an infinite number
of them to get a non-computable answer from an Oracle (although you
would need in case you want to finitely verify it). And even if you
can model equally well the first N bits of a non-deterministic random
sequence, the fact that a random sequence is ontologically of a
non-deterministic nature, makes it a priori a different one in essence
from a pseudo random sequence. The point is not epistemological.

In any case, whether we agree on the philosophical matter, my point is
that it is not the case that there is a mathematical proof about
quantum systems computing exactly the same functions than Turing
machines. There is a mathematical proof that the standard model of
quantum computation computes the same set of functions than Turing
machines.


 ben g

 On Sun, Nov 30, 2008 at 10:53 PM, Hector Zenil [EMAIL PROTECTED] wrote:
 On Mon, Dec 1, 2008 at 4:44 AM, Ben Goertzel [EMAIL PROTECTED] wrote:
 OTOH, there is no possible real-world test to distinguish a true
 random sequence from a high-algorithmic-information quasi-random
 sequence

 I know, but the point is not whether we can distinguish it, but that
 quantum mechanics actually predicts to be intrinsically capable of
 non-deterministic randomness, while for a Turing machine that is
 impossible by definition. I find quite convincing and interesting the
 way in which the mathematical proof of the standard model of quantum
 computation as Turing computable has been put in jeopardy by physical
 reality.


 So I don't find this argument very convincing...

 On Sun, Nov 30, 2008 at 10:42 PM, Hector Zenil [EMAIL PROTECTED] wrote:
 On Mon, Dec 1, 2008 at 3:09 AM, Ben Goertzel [EMAIL PROTECTED] wrote:
 But quantum theory does appear to be directly related to limits of the
 computations of physical reality.  The uncertainty theory and the
 quantization of quantum states are limitations on what can be computed by
 physical reality.

 Not really.  They're limitations on what  measurements of physical
 reality can be simultaneously made.

 Quantum systems can compute *exactly* the class of Turing computable
 functions ... this has been proved according to standard quantum
 mechanics math.  however, there are some things they can compute
 faster than any Turing machine, in the average case but not the worst
 case.


 Sorry, I am not really following the discussion but I just read that
 there is some misinterpretation here. It is the standard model of
 quantum computation that effectively computes exactly the Turing
 computable functions, but that was almost hand tailored to do so,
 perhaps because adding to the theory an assumption of continuum
 measurability was already too much (i.e. distinguishing infinitely
 close quantum states). But that is far from the claim that quantum
 systems can compute exactly the class of Turing computable functions.
 Actually the Hilbert space and the superposition of particles in an
 infinite number of states would suggest exactly the opposite. While
 the standard model of quantum computation only considers a
 superposition of 2 states (the so-called qubit, capable of
 entanglement in 0 and 1). But even if you stick to the standard model
 of quantum computation, the proof that it computes exactly the set
 of recursive functions [Feynman, Deutsch] can be put in jeopardy very
 easy : Turing machines are unable to produce non-deterministic
 randomness, something that quantum computers do as an intrinsic
 property of quantum mechanics (not only because of 

Re: RE: FW: [agi] A paper that actually does solve the problem of consciousness

2008-11-30 Thread Hector Zenil
On Mon, Dec 1, 2008 at 4:55 AM, Ben Goertzel [EMAIL PROTECTED] wrote:
 But I don't get your point at all, because the whole idea of
 nondeterministic randomness has nothing to do with physical
 reality...

I don't get it. You don't think that quantum mechanics is part of our
physical reality (if it is not all of it)?

 true random numbers are uncomputable entities which can
 never be existed,

you can say that either they don't exist or they do exist but that we
don't have access to them. That's a rather philosophical matter. But
scientifically QM says the latter. Even more, since bits from a
non-deterministic random source are truly independent from each other,
something that does not happen when produced by a Turing machine, then
any sequence (even finite) is of different nature from one produced by
a Turing machine. In practice, if your claim is that you will not be
able to distinguish the difference, you actually would if you let the
machine run for a longer period of time, once finished its physical
resources it will either halt or start over (making the random
string periodic), while QM says that resources don't matter, a quantum
computer will always continue producing non-deterministic (e.g. never
periodic) strings of any length independently of any constraint of
time or space!

 and any finite series of observations can be modeled
 equally well as the first N bits of an uncomputable series or of a
 computable one...

 ben g

 On Sun, Nov 30, 2008 at 10:53 PM, Hector Zenil [EMAIL PROTECTED] wrote:
 On Mon, Dec 1, 2008 at 4:44 AM, Ben Goertzel [EMAIL PROTECTED] wrote:
 OTOH, there is no possible real-world test to distinguish a true
 random sequence from a high-algorithmic-information quasi-random
 sequence

 I know, but the point is not whether we can distinguish it, but that
 quantum mechanics actually predicts to be intrinsically capable of
 non-deterministic randomness, while for a Turing machine that is
 impossible by definition. I find quite convincing and interesting the
 way in which the mathematical proof of the standard model of quantum
 computation as Turing computable has been put in jeopardy by physical
 reality.


 So I don't find this argument very convincing...

 On Sun, Nov 30, 2008 at 10:42 PM, Hector Zenil [EMAIL PROTECTED] wrote:
 On Mon, Dec 1, 2008 at 3:09 AM, Ben Goertzel [EMAIL PROTECTED] wrote:
 But quantum theory does appear to be directly related to limits of the
 computations of physical reality.  The uncertainty theory and the
 quantization of quantum states are limitations on what can be computed by
 physical reality.

 Not really.  They're limitations on what  measurements of physical
 reality can be simultaneously made.

 Quantum systems can compute *exactly* the class of Turing computable
 functions ... this has been proved according to standard quantum
 mechanics math.  however, there are some things they can compute
 faster than any Turing machine, in the average case but not the worst
 case.


 Sorry, I am not really following the discussion but I just read that
 there is some misinterpretation here. It is the standard model of
 quantum computation that effectively computes exactly the Turing
 computable functions, but that was almost hand tailored to do so,
 perhaps because adding to the theory an assumption of continuum
 measurability was already too much (i.e. distinguishing infinitely
 close quantum states). But that is far from the claim that quantum
 systems can compute exactly the class of Turing computable functions.
 Actually the Hilbert space and the superposition of particles in an
 infinite number of states would suggest exactly the opposite. While
 the standard model of quantum computation only considers a
 superposition of 2 states (the so-called qubit, capable of
 entanglement in 0 and 1). But even if you stick to the standard model
 of quantum computation, the proof that it computes exactly the set
 of recursive functions [Feynman, Deutsch] can be put in jeopardy very
 easy : Turing machines are unable to produce non-deterministic
 randomness, something that quantum computers do as an intrinsic
 property of quantum mechanics (not only because of measure limitations
 of the kind of the Heisenberg principle but by quantum non-locality,
 i.e. the violation of Bell's theorem). I just exhibited a non-Turing
 computable function that standard quantum computers compute...
 [Calude, Casti]


 But, I am old fashioned enough to be more interested in things about the
 brain and AGI that are supported by what would traditionally be 
 considered
 scientific evidence or by what can be reasoned or designed from such
 evidence.

 If there is any thing that would fit under those headings to support the
 notion of the brain either being infinite, or being an antenna that 
 receives
 decodable information from some infinite-information-content source, I 
 would
 love to hear it.


 You and/or other people might be interested in a paper of mine
 published some 

Re: RE: FW: [agi] A paper that actually does solve the problem of consciousness

2008-11-30 Thread Ben Goertzel
On Sun, Nov 30, 2008 at 11:48 PM, Hector Zenil [EMAIL PROTECTED] wrote:
 On Mon, Dec 1, 2008 at 4:55 AM, Ben Goertzel [EMAIL PROTECTED] wrote:
 But I don't get your point at all, because the whole idea of
 nondeterministic randomness has nothing to do with physical
 reality...

 I don't get it. You don't think that quantum mechanics is part of our
 physical reality (if it is not all of it)?

Of course it isn't -- quantum mechanics is a mathematical and
conceptual model that we use in order to predict certain finite sets
of finite-precision observations, based on other such sets

 true random numbers are uncomputable entities which can
 never be existed,

 you can say that either they don't exist or they do exist but that we
 don't have access to them. That's a rather philosophical matter. But
 scientifically QM says the latter.

Sure it does: but there is an equivalent mathematical theory that
explains all observations identically to QM, yet doesn't posit any
uncomputable entities

So, choosing to posit that these uncomputable entities exist in
reality, is just a matter of aesthetic or philosophical taste ... so
you can't really say they exist in reality, because they contribute
nothing to the predictive power of QM ...

-- Ben G


---
agi
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Re: RE: FW: [agi] A paper that actually does solve the problem of consciousness

2008-11-30 Thread Hector Zenil
On Mon, Dec 1, 2008 at 6:20 AM, Ben Goertzel [EMAIL PROTECTED] wrote:
 On Sun, Nov 30, 2008 at 11:48 PM, Hector Zenil [EMAIL PROTECTED] wrote:
 On Mon, Dec 1, 2008 at 4:55 AM, Ben Goertzel [EMAIL PROTECTED] wrote:
 But I don't get your point at all, because the whole idea of
 nondeterministic randomness has nothing to do with physical
 reality...

 I don't get it. You don't think that quantum mechanics is part of our
 physical reality (if it is not all of it)?

 Of course it isn't -- quantum mechanics is a mathematical and
 conceptual model that we use in order to predict certain finite sets
 of finite-precision observations, based on other such sets


Oh I see! I think that's of philosophical taste as well. I don't think
everybody would agree with you. Specially if you poll physicists like
those that constructed the standard model of computation! We cannot
ask Feynman, but I actually asked Deutsch. He does not only think QM
is our most basic physical reality (he thinks math and computer
science lie in quantum mechanics), but he even takes quite seriously
his theory of parallel universes! and he is not alone. Speaking by
myself, I would agree with you, but I think we would need to
relativize the concept of agreement. I don't think QM is just another
model of merely mathematical value to make finite predictions. I think
physical models say something about our physical reality. If you deny
QM as part of our physical reality then I guess you deny any other
physical model. I wonder then what is left to you. You perhaps would
embrace total skepticism, perhaps even solipsism. Current trends have
moved from there to a more relativized positions, where models are
considered so, models, but still with some value as part of our actual
physical reality (just as Newtonian physics is not just completely
wrong after General Relativity since it still describes a huge part of
our physical reality).

At the end, even if you claim a Platonic physical reality to which we
have no access at all, not even through our best explanations in the
way of models, the world is either quantum or not (as we have defined
the theory), and as long as it remains as our best explanation of a
the phenomena that characterizes one has to face it to other models
describing other aspects or models of our best known physical reality.
It is not clear to me how you would deny the physical reality of QM
but defend the theory of computability or algorithmic information
theory as if they were more basic than QM.

If we take as equally basic QM and AIT, even in a practical sense,
there are incompatibilities in essence. QM cannot be said as Turing
computable, and AIT cannot posit the in-existence of non-deterministic
randomness specially when QM says something else. I am more in the
side of AIT but I think the question is open, is interesting (both
philosophically and scientific) and not trivial at all.


 true random numbers are uncomputable entities which can
 never be existed,

 you can say that either they don't exist or they do exist but that we
 don't have access to them. That's a rather philosophical matter. But
 scientifically QM says the latter.

 Sure it does: but there is an equivalent mathematical theory that
 explains all observations identically to QM, yet doesn't posit any
 uncomputable entities

 So, choosing to posit that these uncomputable entities exist in
 reality, is just a matter of aesthetic or philosophical taste ... so
 you can't really say they exist in reality, because they contribute
 nothing to the predictive power of QM ...



There are people that think that quantum randomness is actually the
source of the complexity we see in the universe [Bennett, Lloyd]. Even
when I do not agree with them (since AIT does not require
non-deterministic randomness) I think it is not that trivial since
even researchers think they contribute in some fundamental (not only
philosophical) way.


 -- Ben G


 ---
 agi
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-- 
Hector Zenilhttp://www.mathrix.org


---
agi
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Re: RE: FW: [agi] A paper that actually does solve the problem of consciousness

2008-11-30 Thread Charles Hixson

Hector Zenil wrote:

On Mon, Dec 1, 2008 at 6:20 AM, Ben Goertzel [EMAIL PROTECTED] wrote:
  

On Sun, Nov 30, 2008 at 11:48 PM, Hector Zenil [EMAIL PROTECTED] wrote:


On Mon, Dec 1, 2008 at 4:55 AM, Ben Goertzel [EMAIL PROTECTED] wrote:
  

But I don't get your point at all, because the whole idea of
...


...


Oh I see! I think that's of philosophical taste as well. I don't think
everybody would agree with you. Specially if you poll physicists like
those that constructed the standard model of computation! We cannot
ask Feynman, but I actually asked Deutsch. He does not only think QM
is our most basic physical reality (he thinks math and computer
science lie in quantum mechanics), but he even takes quite seriously
his theory of parallel universes! and he is not alone. Speaking by...
when I do not agree with them (since AIT does not require
non-deterministic randomness) I think it is not that trivial since
even researchers think they contribute in some fundamental (not only
philosophical) way.

  

-- Ben G


Still, one must remember that there is Quantum Theory, and then there 
are the interpretations of Quantum Theory.  As I understand things there 
are still several models of the universe which yield the same 
observables, and choosing between them is a matter of taste.  They are 
all totally consistent with standard Quantum Theory...but ...well, which 
do you prefer?  Multi-world?  Action at a distance?  No objective 
universe? (I'm not sure what that means.)  The present is created by the 
future as well as the past?  As I understand things, these cannot be 
chosen between on the basis of Quantum Theory.  And somewhere in that 
mix is Wholeness and the Implicate Order.


When math gets translated into Language, interpretations add things.



---
agi
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