Re: About wisdom

2013-10-24 Thread meekerdb

Knowledge is knowing the answer to a troll's question.  Wisdom is not posting 
it.

Brent

On 10/23/2013 11:14 PM, chris peck wrote:
I thought knowledge was knowing that tomatoes are fruit, and wisdom was knowing not to 
put them in a fruit salad.


--
From: sw...@post.harvard.edu
Date: Wed, 23 Oct 2013 15:12:57 -0700
Subject: About wisdom
To: everything-list@googlegroups.com

Wisdom is the art of coming up with believable excuses for one's ignorance.
Discuss.

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Re: About wisdom

2013-10-24 Thread freqflyer07281972
Stephen Lin, 

Are you on some kind of methamphetamine binge where you think it is totally 
cool for you to post vaguely sensible (but mostly nonsensical) thoughts 
that drive through your drug addled brain? 

Dude, we've all been there, we've got the t-shirts and postcards, and we 
are ready for something more... mature. 

At first, I thought you might have been on to something, but now I know you 
are useless. Please, stop cluttering up this board with your inanities. 
there are many other places on the internet where you can dump your mental 
garbage. 

Cheers,

Dan
Oh, and by the way, this pretty much eliminates that stupid thesis you have 
that we are all Neo from the matrix... I ain't neo, but I wish for fuck 
that you would just go away, idiot. That proves that there is at least one 
other person in the universe besides you who basically hates your guts... 

On Wednesday, October 23, 2013 6:12:57 PM UTC-4, Stephen Lin wrote:

 Wisdom is the art of coming up with believable excuses for one's ignorance.
 Discuss.


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Re: What's my name and what do you think I need to help me along my journey?

2013-10-24 Thread freqflyer07281972
I think you need to lay off whatever drugs you are doing, find faith in 
some kind of higher power, and stop posting in a place on the internet made 
for serious thinkers and not lame ass dilletantes such as yourself. You do 
know you can comment on Youtube videos, don't you?

On Wednesday, October 23, 2013 5:00:52 PM UTC-4, Stephen Lin wrote:




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Re: I have a very good question but I don't know how to ask it...

2013-10-24 Thread freqflyer07281972
Put down your crack pipe and seek help

On Tuesday, October 22, 2013 11:23:39 AM UTC-4, Stephen Lin wrote:

 Without coaching anyway assume an answer. Trust me, it really is on-optic; 
 it has something to do with a supercomputer.

 Annywy, here does: Give that I am Neo, is it possible for me to bot 
 attended and not addending the wedding of Tim Lee and Jess Han without 
 actually doing it, such that Tim Lee becomes reborn as Wakka?

 It''s actually a good question, but if you have no idea what it means, Try 
 not to embarrass yourself by thinking you know. It has to with the fact 
 that I think we converge the same person in the end which becomse our own 
 beginning. Unfortunatley, sometimes we lose track of where we started or 
 where you're spposed to do...

 Thanks,
 Stephen


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Re: String theory and superconductors and classical liquids...

2013-10-24 Thread Quentin Anciaux
2013/10/24 Chris de Morsella cdemorse...@yahoo.com

 ** **

 ** **

 *From:* everything-list@googlegroups.com [mailto:
 everything-list@googlegroups.com] *On Behalf Of *Bruno Marchal
 *Sent:* Wednesday, October 23, 2013 5:45 AM

 *To:* everything-list@googlegroups.com
 *Subject:* Re: String theory and superconductors and classical liquids...*
 ***

 ** **

 ** **

 On 23 Oct 2013, at 02:15, Chris de Morsella wrote:



 

  

  

 *From:* everything-list@googlegroups.com [
 mailto:everything-list@googlegroups.com everything-list@googlegroups.com
 ] *On Behalf Of *Bruno Marchal
 *Sent:* Tuesday, October 22, 2013 9:50 AM
 *To:* everything-list@googlegroups.com
 *Subject:* Re: String theory and superconductors and classical liquids...*
 ***

  

  

 On 22 Oct 2013, at 04:20, Russell Standish wrote:




 

 On Tue, Oct 22, 2013 at 02:49:40PM +1300, LizR wrote:


 

 I missed that 10^-48 is rather an impressive result. Is that definitive -*
 ***

 granularity has to be that small - or merely suggestive?

  

 It does suggest the possibility of a lot of internal structure inside

 fundamental particles!

  

  

 On 22 October 2013 14:43, Richard Ruquist yann...@gmail.com wrote:

  

 The 10^-48 meters for the upper limit on grannular size of space is better
 

 compared to the Planck Scale at 10^-35.

 So space is smooth at least to 10^-13 Planck scales consistent with Fermi*
 ***

 gamma ray arrival results. Gamma rays a factor of ten different in energy*
 ***

 arrived from across the universe at the same time whereas granularity would
 

 delay one measurably.

  

  


 Indeed this seems an important empiricial result, ruling out certain
 classes of models, including, dare I say, Wolfram's NKS.

 However, it does not rule out computationalism, nor the countability
 of observer moments, as I've point out many time, as space-time is
 most likely a model construct, rather than actually being something
 physical out there. It is something Allen Francom bangs on about too,
 which I tend to agree with, although admittedly I've gotten lost with
 his Brownian Quantum Universe models.

  

 Computationalism implies non classical granularity possible, but
 quantum granularity is not excluded, with a qubit being described by some
 continuum aI0 + bI1 (a and b complex).

  

 The results seem to exclude any theories that rely on a classic
 granularity of space time with the scale this granularity would need to be
 under being pushed far below the Planck scale.

  

 The basic ontology can be discrete (indeed arithmetical), but the
 physical (and the theological) should reasonably have continuous observable
 (even if those are only the frequency operators, and that *only* the
 probabilities reflect the continuum. Needless to say those are open
 problems).

  

 I was thinking some recent observations tended to rule out granularity.
 Hard questions, but with comp, some continuum seems to play a role in
 physics (which should be a first person plural universal machines view).**
 **

  

 Bruno

  

 If reality arises from scale invariant equations perhaps there is no need
 for a pixelated foundation to act as the smallest addressable chunks and as
 the canvas upon which reality is drawn or projected as it were. Perhaps
 reality really arises at it is observed 

 ** **

 ... from our points of view. That might even include backtracking, so
 that the physical reality develops and bactrack when  some inconsistency is
 met. Open problem with comp, but evidences exists, and it might be that
 physical reality is ever growing.

 have you understand that if the brain works like a digital machine, the
 physical realitu emerges from some statistics on all computations (which
 exist in arithmetic)?

 ** **

 Interesting point! It seems you are suggesting that causality – to use an
 Americanism colloquialism (at least amongst auto-mechanics) – may be a
 little “loosey goosey”, in other words it fits well enough in order to be
 fully functional, as far as the macro observer is concerned, but that
 within the realm of the very small (also along the time axis) causality
 becomes less rigorous and these – what would they be called?...  reality
 paradox reconciliation algorithms perhaps -- re-write and “fix” transient
 paradoxes, loose ends etc. in order to produce, at least on the observer’s
 macro scale, the smooth perception of rock solid causality. 

 And that as long as on the macro scale of the observer, causality
 continues to operate smoothly (in so far as they are concerned at least)
 then causality can be said to be operative…. Even if it needs to get fixed
 up on the fly as reality manifests becoming observed reality, as long as at
 the functional level its Laws stand then it would seem to all still work
 out. 

 This also fits with the mind-bending quantum scale universe 

Re: Dialetheism

2013-10-24 Thread freqflyer07281972

Craig, 

As sympathetic as I am to all of your various multisense realism projects 
and the different conclusions they are intended to imply, 
I must warn you: 

If you're going to try to prove black is white, beware the Zebra 
crossings...(and if you don't get it, read Douglas Adams and the ultimate 
disproof of God)

Peace

On Wednesday, October 23, 2013 11:54:45 PM UTC-4, Craig Weinberg wrote:



 On Wednesday, October 23, 2013 6:13:33 PM UTC-4, Liz R wrote:

 On 24 October 2013 04:39, Craig Weinberg whats...@gmail.com wrote:

 http://en.wikipedia.org/wiki/Dialetheism

 Dialetheism is the view that some statements can be both true and false 
 simultaneously. More precisely, it is the belief that there can be a true 
 statement whose negation is also true. Such statements are called true 
 contradictions, or dialetheia.

 Doublethink as defined in 1984 is almost exactly this.


 Not exactly. Trivialism is more that indiscriminate sense of 'anything can 
 be true or not true'. Diathelethism is about recognizing that there are 
 limitations in the way that language can meaningfully represent the full 
 richness of nature.

  


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Re: What's my name and what do you think I need to help me along my journey?

2013-10-24 Thread Telmo Menezes
Why is it that people who have faith in some kind of higher power
never seem to have a sense of humor?

On Thu, Oct 24, 2013 at 8:43 AM, freqflyer07281972
thismindisbud...@gmail.com wrote:
 I think you need to lay off whatever drugs you are doing, find faith in some
 kind of higher power, and stop posting in a place on the internet made for
 serious thinkers and not lame ass dilletantes such as yourself. You do know
 you can comment on Youtube videos, don't you?


 On Wednesday, October 23, 2013 5:00:52 PM UTC-4, Stephen Lin wrote:


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Re: What's my name and what do you think I need to help me along my journey?

2013-10-24 Thread Quentin Anciaux
2013/10/24 Telmo Menezes te...@telmomenezes.com

 Why is it that people who have faith in some kind of higher power


I don't have faith in some kind of higher power, but still I don't see
spamming non-sense as sense of humor.

Quentin


 never seem to have a sense of humor?

 On Thu, Oct 24, 2013 at 8:43 AM, freqflyer07281972
 thismindisbud...@gmail.com wrote:
  I think you need to lay off whatever drugs you are doing, find faith in
 some
  kind of higher power, and stop posting in a place on the internet made
 for
  serious thinkers and not lame ass dilletantes such as yourself. You do
 know
  you can comment on Youtube videos, don't you?
 
 
  On Wednesday, October 23, 2013 5:00:52 PM UTC-4, Stephen Lin wrote:
 
 
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All those moments will be lost in time, like tears in rain.

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Re: What's my name and what do you think I need to help me along my journey?

2013-10-24 Thread Telmo Menezes
On Thu, Oct 24, 2013 at 11:55 AM, Quentin Anciaux allco...@gmail.com wrote:



 2013/10/24 Telmo Menezes te...@telmomenezes.com

 Why is it that people who have faith in some kind of higher power


 I don't have faith in some kind of higher power, but still I don't see
 spamming non-sense as sense of humor.

No problem!
Telmo.

 Quentin


 never seem to have a sense of humor?

 On Thu, Oct 24, 2013 at 8:43 AM, freqflyer07281972
 thismindisbud...@gmail.com wrote:
  I think you need to lay off whatever drugs you are doing, find faith in
  some
  kind of higher power, and stop posting in a place on the internet made
  for
  serious thinkers and not lame ass dilletantes such as yourself. You do
  know
  you can comment on Youtube videos, don't you?
 
 
  On Wednesday, October 23, 2013 5:00:52 PM UTC-4, Stephen Lin wrote:
 
 
  --
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  Groups
  Everything List group.
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  an
  email to everything-list+unsubscr...@googlegroups.com.
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 --
 All those moments will be lost in time, like tears in rain.

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Re: String theory and superconductors and classical liquids...

2013-10-24 Thread Richard Ruquist
How does one obtain an infinity of computations in a universe of limited
bits of information.
For example our universe is thought to be limited to 10^120 bits, the
so-called Lloyd Limit.


On Thu, Oct 24, 2013 at 2:54 AM, Quentin Anciaux allco...@gmail.com wrote:




 2013/10/24 Chris de Morsella cdemorse...@yahoo.com

 ** **

 ** **

 *From:* everything-list@googlegroups.com [mailto:
 everything-list@googlegroups.com] *On Behalf Of *Bruno Marchal
 *Sent:* Wednesday, October 23, 2013 5:45 AM

 *To:* everything-list@googlegroups.com
 *Subject:* Re: String theory and superconductors and classical liquids...
 

 ** **

 ** **

 On 23 Oct 2013, at 02:15, Chris de Morsella wrote:



 

  

  

 *From:* everything-list@googlegroups.com [
 mailto:everything-list@googlegroups.comeverything-list@googlegroups.com
 ] *On Behalf Of *Bruno Marchal
 *Sent:* Tuesday, October 22, 2013 9:50 AM
 *To:* everything-list@googlegroups.com
 *Subject:* Re: String theory and superconductors and classical liquids...
 

  

  

 On 22 Oct 2013, at 04:20, Russell Standish wrote:




 

 On Tue, Oct 22, 2013 at 02:49:40PM +1300, LizR wrote:


 

 I missed that 10^-48 is rather an impressive result. Is that definitive -
 

 granularity has to be that small - or merely suggestive?

  

 It does suggest the possibility of a lot of internal structure inside

 fundamental particles!

  

  

 On 22 October 2013 14:43, Richard Ruquist yann...@gmail.com wrote:

  

 The 10^-48 meters for the upper limit on grannular size of space is better
 

 compared to the Planck Scale at 10^-35.

 So space is smooth at least to 10^-13 Planck scales consistent with Fermi
 

 gamma ray arrival results. Gamma rays a factor of ten different in energy
 

 arrived from across the universe at the same time whereas granularity
 would

 delay one measurably.

  

  


 Indeed this seems an important empiricial result, ruling out certain
 classes of models, including, dare I say, Wolfram's NKS.

 However, it does not rule out computationalism, nor the countability
 of observer moments, as I've point out many time, as space-time is
 most likely a model construct, rather than actually being something
 physical out there. It is something Allen Francom bangs on about too,
 which I tend to agree with, although admittedly I've gotten lost with
 his Brownian Quantum Universe models.

  

 Computationalism implies non classical granularity possible, but
 quantum granularity is not excluded, with a qubit being described by some
 continuum aI0 + bI1 (a and b complex).

  

 The results seem to exclude any theories that rely on a classic
 granularity of space time with the scale this granularity would need to be
 under being pushed far below the Planck scale.

  

 The basic ontology can be discrete (indeed arithmetical), but the
 physical (and the theological) should reasonably have continuous observable
 (even if those are only the frequency operators, and that *only* the
 probabilities reflect the continuum. Needless to say those are open
 problems).

  

 I was thinking some recent observations tended to rule out
 granularity. Hard questions, but with comp, some continuum seems to play a
 role in physics (which should be a first person plural universal machines
 view).

  

 Bruno

  

 If reality arises from scale invariant equations perhaps there is no need
 for a pixelated foundation to act as the smallest addressable chunks and as
 the canvas upon which reality is drawn or projected as it were. Perhaps
 reality really arises at it is observed 

 ** **

 ... from our points of view. That might even include backtracking, so
 that the physical reality develops and bactrack when  some inconsistency is
 met. Open problem with comp, but evidences exists, and it might be that
 physical reality is ever growing.

 have you understand that if the brain works like a digital machine, the
 physical realitu emerges from some statistics on all computations (which
 exist in arithmetic)?

 ** **

 Interesting point! It seems you are suggesting that causality – to use an
 Americanism colloquialism (at least amongst auto-mechanics) – may be a
 little “loosey goosey”, in other words it fits well enough in order to be
 fully functional, as far as the macro observer is concerned, but that
 within the realm of the very small (also along the time axis) causality
 becomes less rigorous and these – what would they be called?...  reality
 paradox reconciliation algorithms perhaps -- re-write and “fix” transient
 paradoxes, loose ends etc. in order to produce, at least on the observer’s
 macro scale, the smooth perception of rock solid causality. 

 And that as long as on the macro scale of the observer, causality
 continues to operate smoothly (in so far as they are concerned at least)
 then causality can be said to be 

Re: String theory and superconductors and classical liquids...

2013-10-24 Thread Richard Ruquist
Quentin,
Perhaps that assumption of unlimited bits for computation is unwarranted in
a finite universe.
In my paper I circumvent that limitation by assuming that the metaverse is
the computational source of matter.
http://vixra.org/abs/1303.0194
Richard


On Thu, Oct 24, 2013 at 8:20 AM, Quentin Anciaux allco...@gmail.com wrote:

 Computationalism doesn't assume the universe (or any universe) at the
 start, just only arithmetical realism, it is not limited in any fashion,
 universe/matter is an emergent phenomena not a primary ontological
 substance.


 2013/10/24 Richard Ruquist yann...@gmail.com

 How does one obtain an infinity of computations in a universe of limited
 bits of information.
 For example our universe is thought to be limited to 10^120 bits, the
 so-called Lloyd Limit.


 On Thu, Oct 24, 2013 at 2:54 AM, Quentin Anciaux allco...@gmail.comwrote:




 2013/10/24 Chris de Morsella cdemorse...@yahoo.com

 ** **

 ** **

 *From:* everything-list@googlegroups.com [mailto:
 everything-list@googlegroups.com] *On Behalf Of *Bruno Marchal
 *Sent:* Wednesday, October 23, 2013 5:45 AM

 *To:* everything-list@googlegroups.com
 *Subject:* Re: String theory and superconductors and classical
 liquids...

 ** **

 ** **

 On 23 Oct 2013, at 02:15, Chris de Morsella wrote:



 

  

  

 *From:* everything-list@googlegroups.com [
 mailto:everything-list@googlegroups.comeverything-list@googlegroups.com
 ] *On Behalf Of *Bruno Marchal
 *Sent:* Tuesday, October 22, 2013 9:50 AM
 *To:* everything-list@googlegroups.com
 *Subject:* Re: String theory and superconductors and classical
 liquids...

  

  

 On 22 Oct 2013, at 04:20, Russell Standish wrote:




 

 On Tue, Oct 22, 2013 at 02:49:40PM +1300, LizR wrote:


 

 I missed that 10^-48 is rather an impressive result. Is that definitive
 -

 granularity has to be that small - or merely suggestive?

  

 It does suggest the possibility of a lot of internal structure inside**
 **

 fundamental particles!

  

  

 On 22 October 2013 14:43, Richard Ruquist yann...@gmail.com wrote:***
 *

  

 The 10^-48 meters for the upper limit on grannular size of space is
 better

 compared to the Planck Scale at 10^-35.

 So space is smooth at least to 10^-13 Planck scales consistent with
 Fermi

 gamma ray arrival results. Gamma rays a factor of ten different in
 energy

 arrived from across the universe at the same time whereas granularity
 would

 delay one measurably.

  

  


 Indeed this seems an important empiricial result, ruling out certain
 classes of models, including, dare I say, Wolfram's NKS.

 However, it does not rule out computationalism, nor the countability
 of observer moments, as I've point out many time, as space-time is
 most likely a model construct, rather than actually being something
 physical out there. It is something Allen Francom bangs on about too,
 which I tend to agree with, although admittedly I've gotten lost with
 his Brownian Quantum Universe models.

  

 Computationalism implies non classical granularity possible, but
 quantum granularity is not excluded, with a qubit being described by some
 continuum aI0 + bI1 (a and b complex).

  

 The results seem to exclude any theories that rely on a classic
 granularity of space time with the scale this granularity would need to be
 under being pushed far below the Planck scale.

  

 The basic ontology can be discrete (indeed arithmetical), but the
 physical (and the theological) should reasonably have continuous observable
 (even if those are only the frequency operators, and that *only* the
 probabilities reflect the continuum. Needless to say those are open
 problems).

  

 I was thinking some recent observations tended to rule out
 granularity. Hard questions, but with comp, some continuum seems to play a
 role in physics (which should be a first person plural universal machines
 view).

  

 Bruno

  

 If reality arises from scale invariant equations perhaps there is no
 need for a pixelated foundation to act as the smallest addressable chunks
 and as the canvas upon which reality is drawn or projected as it were.
 Perhaps reality really arises at it is observed 

 ** **

 ... from our points of view. That might even include backtracking,
 so that the physical reality develops and bactrack when  some inconsistency
 is met. Open problem with comp, but evidences exists, and it might be that
 physical reality is ever growing.

 have you understand that if the brain works like a digital machine, the
 physical realitu emerges from some statistics on all computations (which
 exist in arithmetic)?

 ** **

 Interesting point! It seems you are suggesting that causality – to use
 an Americanism colloquialism (at least amongst auto-mechanics) – may be a
 little “loosey goosey”, in other words it fits well enough in order to be
 

Re: String theory and superconductors and classical liquids...

2013-10-24 Thread Quentin Anciaux
Comp does not assume universe at the start... also the fact if the universe
is finite or not is not settle. But anyway fact of physical laws have to be
recovered from comp alone.

Quentin


2013/10/24 Richard Ruquist yann...@gmail.com

 Quentin,
 Perhaps that assumption of unlimited bits for computation is unwarranted
 in a finite universe.
 In my paper I circumvent that limitation by assuming that the metaverse is
 the computational source of matter.
 http://vixra.org/abs/1303.0194
 Richard


 On Thu, Oct 24, 2013 at 8:20 AM, Quentin Anciaux allco...@gmail.comwrote:

 Computationalism doesn't assume the universe (or any universe) at the
 start, just only arithmetical realism, it is not limited in any fashion,
 universe/matter is an emergent phenomena not a primary ontological
 substance.


 2013/10/24 Richard Ruquist yann...@gmail.com

 How does one obtain an infinity of computations in a universe of limited
 bits of information.
 For example our universe is thought to be limited to 10^120 bits, the
 so-called Lloyd Limit.


 On Thu, Oct 24, 2013 at 2:54 AM, Quentin Anciaux allco...@gmail.comwrote:




 2013/10/24 Chris de Morsella cdemorse...@yahoo.com

 ** **

 ** **

 *From:* everything-list@googlegroups.com [mailto:
 everything-list@googlegroups.com] *On Behalf Of *Bruno Marchal
 *Sent:* Wednesday, October 23, 2013 5:45 AM

 *To:* everything-list@googlegroups.com
 *Subject:* Re: String theory and superconductors and classical
 liquids...

 ** **

 ** **

 On 23 Oct 2013, at 02:15, Chris de Morsella wrote:



 

  

  

 *From:* everything-list@googlegroups.com [
 mailto:everything-list@googlegroups.comeverything-list@googlegroups.com
 ] *On Behalf Of *Bruno Marchal
 *Sent:* Tuesday, October 22, 2013 9:50 AM
 *To:* everything-list@googlegroups.com
 *Subject:* Re: String theory and superconductors and classical
 liquids...

  

  

 On 22 Oct 2013, at 04:20, Russell Standish wrote:




 

 On Tue, Oct 22, 2013 at 02:49:40PM +1300, LizR wrote:


 

 I missed that 10^-48 is rather an impressive result. Is that
 definitive -

 granularity has to be that small - or merely suggestive?

  

 It does suggest the possibility of a lot of internal structure inside*
 ***

 fundamental particles!

  

  

 On 22 October 2013 14:43, Richard Ruquist yann...@gmail.com wrote:**
 **

  

 The 10^-48 meters for the upper limit on grannular size of space is
 better

 compared to the Planck Scale at 10^-35.

 So space is smooth at least to 10^-13 Planck scales consistent with
 Fermi

 gamma ray arrival results. Gamma rays a factor of ten different in
 energy

 arrived from across the universe at the same time whereas granularity
 would

 delay one measurably.

  

  


 Indeed this seems an important empiricial result, ruling out certain
 classes of models, including, dare I say, Wolfram's NKS.

 However, it does not rule out computationalism, nor the countability
 of observer moments, as I've point out many time, as space-time is
 most likely a model construct, rather than actually being something
 physical out there. It is something Allen Francom bangs on about too,
 which I tend to agree with, although admittedly I've gotten lost with
 his Brownian Quantum Universe models.

  

 Computationalism implies non classical granularity possible, but
 quantum granularity is not excluded, with a qubit being described by some
 continuum aI0 + bI1 (a and b complex).

  

 The results seem to exclude any theories that rely on a classic
 granularity of space time with the scale this granularity would need to be
 under being pushed far below the Planck scale.

  

 The basic ontology can be discrete (indeed arithmetical), but the
 physical (and the theological) should reasonably have continuous 
 observable
 (even if those are only the frequency operators, and that *only* the
 probabilities reflect the continuum. Needless to say those are open
 problems).

  

 I was thinking some recent observations tended to rule out
 granularity. Hard questions, but with comp, some continuum seems to play a
 role in physics (which should be a first person plural universal machines
 view).

  

 Bruno

  

 If reality arises from scale invariant equations perhaps there is no
 need for a pixelated foundation to act as the smallest addressable chunks
 and as the canvas upon which reality is drawn or projected as it were.
 Perhaps reality really arises at it is observed 

 ** **

 ... from our points of view. That might even include backtracking,
 so that the physical reality develops and bactrack when  some 
 inconsistency
 is met. Open problem with comp, but evidences exists, and it might be that
 physical reality is ever growing.

 have you understand that if the brain works like a digital machine,
 the physical realitu emerges from some statistics on all computations
 (which exist in 

Re: Dialetheism

2013-10-24 Thread Craig Weinberg


On Thursday, October 24, 2013 2:58:16 AM UTC-4, freqflyer07281972 wrote:


 Craig, 

 As sympathetic as I am to all of your various multisense realism projects 
 and the different conclusions they are intended to imply, 
 I must warn you: 

 If you're going to try to prove black is white, beware the Zebra 
 crossings...(and if you don't get it, read Douglas Adams and the ultimate 
 disproof of God)


It's not that black is white, it's that black and white are both the same 
thing in one sense (monochrome contrast), similar things in another sense 
(one of the group of things we call colors), and opposite things (black = 
absence of white). The important part is the multiplicity of senses and the 
relation of that multiplicity to symmetry and opposition.

Thanks,
Craig


 Peace

 On Wednesday, October 23, 2013 11:54:45 PM UTC-4, Craig Weinberg wrote:



 On Wednesday, October 23, 2013 6:13:33 PM UTC-4, Liz R wrote:

 On 24 October 2013 04:39, Craig Weinberg whats...@gmail.com wrote:

 http://en.wikipedia.org/wiki/Dialetheism

 Dialetheism is the view that some statements can be both true and false 
 simultaneously. More precisely, it is the belief that there can be a true 
 statement whose negation is also true. Such statements are called true 
 contradictions, or dialetheia.

 Doublethink as defined in 1984 is almost exactly this.


 Not exactly. Trivialism is more that indiscriminate sense of 'anything 
 can be true or not true'. Diathelethism is about recognizing that there are 
 limitations in the way that language can meaningfully represent the full 
 richness of nature.

  



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Re: For John Clark

2013-10-24 Thread Bruno Marchal



On 23 Oct 2013, at 19:57, John Clark wrote:



On Wed, Oct 23, 2013 at 12:00 PM, Bruno Marchal marc...@ulb.ac.be  
wrote:


 Note, John, that you just go from P(W) = P(M) = 0, to the post you  
sent before (and that I commented), to P(W) =  P(M) = 1.


That's because it depends entirely about what the hell  P(W) and  
P(M) mean! Just putting it into a semi mathematical format will not  
by itself make the idea clearer, or smarter.


 You do seem confused.

At least John Clark can express John Clark's ideas about identity  
without using pronouns, it just takes a little longer and sounds a  
little awkward,  Bruno Marchal can not because without the  
indeterminacy that pronouns can produce in the English Language the  
illogic inherent in Bruno Marchal's ideas would have nowhere to  
hide. The fact that Bruno Marchal refuses to stop using pronouns  
meas that Bruno Marchal does not know how to count people in a  
thought experiment involving duplicating chambers, and yet Bruno  
Marchal continues to say things like In the third person point of  
view on the first person points of view. But the question bears on  
the first person point of view exclusively and confusion between  
the third person view on the first person views, and the first  
person points of view themselves.


 To answer the question asked, you have to put yourself in the  
shoes of each copy,


If there were already a way to directly feel the sense of self that  
another person has your proof would be unnecessary.


The indeterminacy comes from that fact. The W-Clark and the M-Clark  
cannot feel what the other feel, and each can understand that H-Clark  
was wrong with P(M) = 1 P(W) = 1. They both feel alive, and so that  
the H-Clark was wrong with P(M) = P(W) = 0.


They both know better, and eventually most sequence-of-X and M-Clark  
get the notion of first person indeterminacy.






  or at least read their personal diaries

That will not increase precision unless you give a name (and NOT a  
pronoun!) to the guy who wrote the diary, if its Mr. The Guy Who Is  
Experiencing Helsinki On October 21 2013  then the probability he  
will experience Washington is zero.


Ridiculous, because in that case would implies you die in a  
duplication or teletransportation experiences.


We have already agree that the W-guy and the M-guy are the same H-guy,  
but living a later time.




If the guy's name is Mr. The Guy Who Will Experience Washington On  
October 22 2013 then the probability he will experience  
Washington is 1. And I don't want to hear any more of this first  
person third person stuff until you make it clear what a person is  
and how many there are in a world with people duplicating machines  
in it.


You ask irrelevant question. With the definition of first and third  
person that I provide, it is just a childplay to see that no person at  
all can predict the outcome *they* (any of them) will feel personally  
(or just will describe in *their* diary. The reasoning is pure third  
person reasoning, and concerned all persons involved.


Let me ask you questions, one at a time.

Do you think that you die in a self-duplication experience? (with the  
same protocol than in step 3, that is: annihilation of the original (H- 
GUY), and reconstitution done in W and M).


Bruno






And I agree with Quentin Anciaux that It is human to make mistakes  
but It is of the devil to continue making them, but I don't agree  
with the pompous way he said it.


  John k Clark





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Re: Dialetheism

2013-10-24 Thread Bruno Marchal


On 23 Oct 2013, at 20:07, Craig Weinberg wrote:




On Wednesday, October 23, 2013 12:34:05 PM UTC-4, Bruno Marchal wrote:
snip
My problem is that you need
to do the math to evaluate how much seriously you can take this  
remark.


Under comp, why couldn't I just imagine tasting the flavor of the  
math instead?


With comp, when you test the flavor of coffee, you do, actually,  test  
the flavor of some math. But you test it from the inside of math, and  
so it looks different from the math we learn at school. That it looks  
different is explainable by any Löbian machine, and can be understood  
intuitively with some training in the comp thought experiment. The  
difference are accounted by the intensional nuance of Gödel's  
provability.


Bruno





Craig


Bruno


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Re: Time as an emergent phenomenon

2013-10-24 Thread Bruno Marchal


On 23 Oct 2013, at 22:48, LizR wrote:

I will be reading this as soon as I get the time,  I mean the  
emergent phenomenon...but thought in the meantime you guys might be  
interested :-)


https://medium.com/the-physics-arxiv-blog/d5d3dc850933

I may have comments once I've had a chance to read it!


Very interesting, and quite close the way time, and space have to  
appear from a universal number points of view, in case the normal  
measure does not contain too much white rabbits, which needs to be  
verify.


Now, I thought, perhaps naively, that after Einstein and Gödel, no one  
serious still believed in a real time. Here I allude to Gödel's work  
in General Relativity.


I recommend the reading of the book of Palle Yourgreau, which made me  
realize that perhaps not so much scientist have understood the  
vanishing of time, in physics.


But the link you provided is not just on the disparition (and  
phenomenological emergence) of time, but on an elegant way to recover  
it in a first person plural ways, and a way to test this.


Bruno



http://iridia.ulb.ac.be/~marchal/



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Re: Dialetheism

2013-10-24 Thread Stephen Lin
Here's the deal...how about I go to the Garden of Eden and everyone else
keep exploring until we finish. Ill never know the difference..

NOT EDEN PRIME though. And don't think about Red or 42 this time.

Thanks,s
Stephen


On Wed, Oct 23, 2013 at 4:50 PM, Stephen Lin sw...@post.harvard.edu wrote:

 I have the perfect James Joyce!


 On Wed, Oct 23, 2013 at 4:49 PM, Stephen Lin sw...@post.harvard.eduwrote:

 This is better:

 https://mail.google.com/mail/u/0/?shva=1#label/everything-list/141e79c24d12e062http://boards.straightdope.com/sdmb/showthread.php?t=634170


 On Wed, Oct 23, 2013 at 4:31 PM, LizR lizj...@gmail.com wrote:

 Always take the weather with you. I feel a spam filter coming on.


 On 24 October 2013 12:29, Stephen Lin sw...@post.harvard.edu wrote:

 Whereever you go, there you are!


 On Wed, Oct 23, 2013 at 4:17 PM, LizR lizj...@gmail.com wrote:

 If anyone is still in doubt that Mr Lin is trolling, try googling
 Tomorrow this will be harder but today this is the easiest thing in the
 world. Bill Murray? Andie MacDowell? Yes I said yes I will Yes. 
 (including
 the quote marks).
 As you will see, the most sensible response to this is Oh, cr*p -
 another guru.

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Re: AUDA and pronouns

2013-10-24 Thread Bruno Marchal


On 23 Oct 2013, at 22:57, Russell Standish wrote:


On Wed, Oct 23, 2013 at 03:02:55PM +0200, Bruno Marchal wrote:


On 22 Oct 2013, at 22:50, Russell Standish wrote:


On Tue, Oct 22, 2013 at 03:09:03PM +0200, Bruno Marchal wrote:


On 21 Oct 2013, at 23:03, Russell Standish wrote:



In fact p- []p characterizes sigma_1 completeness (by a
result by
Albert Visser), and that is why to get the proba on the UD*, we  
use

the intensional nuance []p  t  (= proba) starting from G
extended
with the axiom p- []p (limiting the proposition to the UD).



proba?




Sorry - I was actually asking what you meant by the word proba.


OK. Sorry. It was an abbreviation for probability.



[]p  t doesn't seem like a probability.


It is a probability 1.
von Neumann once argued, if you have a good quantum logic (which means  
automatically a good axiomatic for the probability 1 (the box in a  
modal axiomatic) and the ~probability = 0, (the diamond in the modal  
approach), all the other probabilities should be derivable from it.
Assuming three dimension, and the Hilbert space structure for the  
quantum state, Gleason theorem get the probabilities from the logic.


I thought some years that I could derive a Temperley Lieb algebra of  
projection operators in the logic Z1*, but the math get too much  
complex for me. That would have provided the 3 dimensions (by relation  
between Temperley-Lieb Algebra and 3D knots), and the Hilbert Space  
structure, and in that case, the rest is done by Gleason theorem.





Did you mean certainty?


In our context certainty might be a bit fuzzy. But I am not against  
calling a probability one a certainty, in case it is an ideal  
relative certainty, based on the assumption of comp for example, the  
correct choice of the substitution level, the perfect ability of the  
doctor/teleportation-machine, all the default hypotheses.




IIRC, one of your hypostases was interpreted as probability=1 (ie
certain) events.


The key is more that []p is not a probability. And that we get an  
abstract probability (a modal logic of probability or credibility)  
when we add the consistency (semantically = the existence of at least  
one accessible reality) condition. So yes, []p  t is an  
arithmetical predicate which behaves like a probability one.





Also, is []p  t == []p  p ?


Yes. Those are definition made in G (and thus in arithmetic), which is  
a normal modal logic.


t implies the existence of an accessible world (by Kripke  
semantics). []p implies p is true in all accessible world. So there  
will a world, and p is true in it, so we have p when we have []p   
t .
And, of course the reverse is more easy. if we have p, we have an  
accessible world (the one with p true in that world), and t is true  
there too, as t is true in all world.


Careful!  the new logic obtained (with the new box defined by []p   
t), we lost the necessitation rule, and in that logic, there is no  
more a Kripke semantics. But we have still a notion of worlds- 
neighborhoods, which fit better the apparition of topologies,  
continuua, ... and thus with the UDA way to derive physics.


Bruno











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Re: AUDA and pronouns

2013-10-24 Thread Bruno Marchal


On 23 Oct 2013, at 23:42, meekerdb wrote:


On 10/23/2013 5:53 AM, Bruno Marchal wrote:


On 22 Oct 2013, at 19:01, meekerdb wrote:


On 10/22/2013 5:48 AM, Bruno Marchal wrote:


On 21 Oct 2013, at 20:07, meekerdb wrote:


On 10/20/2013 11:12 PM, Russell Standish wrote:

On Sun, Oct 20, 2013 at 08:09:59PM -0700, meekerdb wrote:
Consistency is []p  ~[]~p. I was saying []p  ~p, ie  
mistaken belief.
ISTM that Bruno equivocates and [] sometimes means believes  
and sometimes provable.


And I'm doing the same. It's not such an issue - a  
mathematician will

only believe something if e can prove it.


But provable(p)==p  and believes(p)=/=p, so why equivocate on  
them?



Both provable('p') - p, and believe('p') - p, when we limit  
ourself to correct machine.



(And incidentally mathematicians believe stuff they can't prove  
all the time - that's how they choose things to try to prove).


Then it is a conjecture. They don't believe rationally in  
conjecture, when they are correct.


They believe it in the real operational sense of believe, they  
will bet their whole professional lives on it.  How long did it  
take Andrew Wiles to prove Fermat's last theorem?  Since one can  
never know that one is a correct machine it seems to me a  
muddling of things to equivocate on provable and believes.


On the contrary. It provides a recursive definition of the beliefs,  
by a rational agent accepting enough truth to understand how a  
computer work.


We can define the beliefs by presenting PA axioms in that way

Classical logic is believed,
'0 ≠ s(x)'  is believed,
's(x) = s(y) - x = y'  is believed,
'x+0 = x'  is believed,
'x+s(y) = s(x+y)' is believed,
'x*0=0' is believed,
'x*s(y)=(x*y)+x' is believed,

and the rule: if A - B is believed and A is believed, then (soon  
or later) B is believed.


But the point of Seth Lloyd's paper was that later can effectively  
be never and since given any time horizon, t, almost all B will not  
be believed earlier than t.


But Seth Loyd assumes some physical universe. In the arithmetic  
context from which we start (and have to start by UDA, at some  
recursive equivalence) soon or later means once. It never means  
never.




So really you call it believe, but you use it as provable.


You miss the point. The incompleteness forces the provability logic to  
behave like a believability logic.
After Gödel, provable (which was for many the best case of knowledge)  
becomes only 'believable'.


That's why I agree with Popper, that science  =  only belief, because  
the big difference between a belief and a knowledge, is that the first  
is corrigible and the second is incorrigible.


(Popper and Deutsch uses non-standard vocabulary here, but I agree  
with them).









Then the theory will apply to any recursively enumerable extensions  
of those beliefs, provided they don't get arithmetically unsound.


The believer can be shown to be Löbian once he has also the beliefs  
in the induction axioms.


Not really. You have add another axiom that the believer is correct.


Why would I need to do that? It is not a new axiom, it is that I limit  
the interview to correct machines. (Everett does the same, it is  
natural. If you predict that a comet will appear in the sky, you will  
not be refuted by a paper explaining that when astronomers are  
sufficiently drunk, they miss to see it. You don't have to assume that  
the observer is not drunk, sane of mind, etc. (At the level of the  
scientific paper, in real life you know that a talk after dinner, at  
some conference, will count for nothing, as people are full, and  
sleepy!).





He doesn't believe any false propositions - which means it is an  
idealization that doesn't apply to anyone.


To derive physics, that is enough. Theoretical approach starts from  
the simpler assumptions, and change them, or improves them only if  
needed.
If not, you would have rejected Newton's at once, as he consider the  
sun being a point, when recovering Keepler laws from his gravitation  
theory.


The interesting happening, I think,  is that by G* proving []f,  
somehow, the laws of physics and the whole machine's theology have to  
take into account the consistency of incorrectness, at some basic  
fundamental level. The idealization makes justice itself of your  
remark, somehow.


Bruno





Brent



Bruno



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Re: Time as an emergent phenomenon

2013-10-24 Thread Richard Ruquist
From SR and GR, photons are static in time.
So I do not understand how differences in photon time can emerge.


On Thu, Oct 24, 2013 at 10:25 AM, Bruno Marchal marc...@ulb.ac.be wrote:


 On 23 Oct 2013, at 22:48, LizR wrote:

 I will be reading this as soon as I get the time,  I mean the emergent
 phenomenon...but thought in the meantime you guys might be interested :-)

 https://medium.com/the-physics-arxiv-blog/d5d3dc850933

 I may have comments once I've had a chance to read it!


 Very interesting, and quite close the way time, and space have to appear
 from a universal number points of view, in case the normal measure does not
 contain too much white rabbits, which needs to be verify.

 Now, I thought, perhaps naively, that after Einstein and Gödel, no one
 serious still believed in a real time. Here I allude to Gödel's work in
 General Relativity.

 I recommend the reading of the book of Palle Yourgreau, which made me
 realize that perhaps not so much scientist have understood the vanishing of
 time, in physics.

 But the link you provided is not just on the disparition (and
 phenomenological emergence) of time, but on an elegant way to recover it in
 a first person plural ways, and a way to test this.

 Bruno



 http://iridia.ulb.ac.be/~marchal/



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Re: String theory and superconductors and classical liquids...

2013-10-24 Thread Richard Ruquist
The recent observation of a galaxy 30 billion light years away, just 700
million years after the Big Bang, suggests that the universe is finite.


On Thu, Oct 24, 2013 at 8:57 AM, Quentin Anciaux allco...@gmail.com wrote:

 Comp does not assume universe at the start... also the fact if the
 universe is finite or not is not settle. But anyway fact of physical laws
 have to be recovered from comp alone.

 Quentin


 2013/10/24 Richard Ruquist yann...@gmail.com

 Quentin,
 Perhaps that assumption of unlimited bits for computation is unwarranted
 in a finite universe.
 In my paper I circumvent that limitation by assuming that the metaverse
 is the computational source of matter.
 http://vixra.org/abs/1303.0194
 Richard


 On Thu, Oct 24, 2013 at 8:20 AM, Quentin Anciaux allco...@gmail.comwrote:

 Computationalism doesn't assume the universe (or any universe) at the
 start, just only arithmetical realism, it is not limited in any fashion,
 universe/matter is an emergent phenomena not a primary ontological
 substance.


 2013/10/24 Richard Ruquist yann...@gmail.com

 How does one obtain an infinity of computations in a universe of
 limited bits of information.
 For example our universe is thought to be limited to 10^120 bits, the
 so-called Lloyd Limit.


 On Thu, Oct 24, 2013 at 2:54 AM, Quentin Anciaux allco...@gmail.comwrote:




 2013/10/24 Chris de Morsella cdemorse...@yahoo.com

 ** **

 ** **

 *From:* everything-list@googlegroups.com [mailto:
 everything-list@googlegroups.com] *On Behalf Of *Bruno Marchal
 *Sent:* Wednesday, October 23, 2013 5:45 AM

 *To:* everything-list@googlegroups.com
 *Subject:* Re: String theory and superconductors and classical
 liquids...

 ** **

 ** **

 On 23 Oct 2013, at 02:15, Chris de Morsella wrote:



 

  

  

 *From:* everything-list@googlegroups.com [
 mailto:everything-list@googlegroups.comeverything-list@googlegroups.com
 ] *On Behalf Of *Bruno Marchal
 *Sent:* Tuesday, October 22, 2013 9:50 AM
 *To:* everything-list@googlegroups.com
 *Subject:* Re: String theory and superconductors and classical
 liquids...

  

  

 On 22 Oct 2013, at 04:20, Russell Standish wrote:




 

 On Tue, Oct 22, 2013 at 02:49:40PM +1300, LizR wrote:


 

 I missed that 10^-48 is rather an impressive result. Is that
 definitive -

 granularity has to be that small - or merely suggestive?

  

 It does suggest the possibility of a lot of internal structure inside
 

 fundamental particles!

  

  

 On 22 October 2013 14:43, Richard Ruquist yann...@gmail.com wrote:*
 ***

  

 The 10^-48 meters for the upper limit on grannular size of space is
 better

 compared to the Planck Scale at 10^-35.

 So space is smooth at least to 10^-13 Planck scales consistent with
 Fermi

 gamma ray arrival results. Gamma rays a factor of ten different in
 energy

 arrived from across the universe at the same time whereas granularity
 would

 delay one measurably.

  

  


 Indeed this seems an important empiricial result, ruling out certain
 classes of models, including, dare I say, Wolfram's NKS.

 However, it does not rule out computationalism, nor the countability
 of observer moments, as I've point out many time, as space-time is
 most likely a model construct, rather than actually being something
 physical out there. It is something Allen Francom bangs on about
 too,
 which I tend to agree with, although admittedly I've gotten lost with
 his Brownian Quantum Universe models.

  

 Computationalism implies non classical granularity possible, but
 quantum granularity is not excluded, with a qubit being described by some
 continuum aI0 + bI1 (a and b complex).

  

 The results seem to exclude any theories that rely on a classic
 granularity of space time with the scale this granularity would need to 
 be
 under being pushed far below the Planck scale.

  

 The basic ontology can be discrete (indeed arithmetical), but the
 physical (and the theological) should reasonably have continuous 
 observable
 (even if those are only the frequency operators, and that *only* the
 probabilities reflect the continuum. Needless to say those are open
 problems).

  

 I was thinking some recent observations tended to rule out
 granularity. Hard questions, but with comp, some continuum seems to play 
 a
 role in physics (which should be a first person plural universal machines
 view).

  

 Bruno

  

 If reality arises from scale invariant equations perhaps there is no
 need for a pixelated foundation to act as the smallest addressable chunks
 and as the canvas upon which reality is drawn or projected as it were.
 Perhaps reality really arises at it is observed 

 ** **

 ... from our points of view. That might even include backtracking,
 so that the physical reality develops and bactrack when  some 
 inconsistency
 is met. Open problem with comp, but 

Re: String theory and superconductors and classical liquids...

2013-10-24 Thread Quentin Anciaux
I think you can't see a galaxy who would be 30 billions light years away,
while the hubble spĥere radius is only 15 billions light year, centered on
earth... Also what would settle the finitude of the universe because a full
fledged galaxy was found not long after the bigbang ? As of now, I've never
read anything that settle if the universe is finite or not... we're not
talking about the hubble volume, but the universe here...

Anyway, that doesn't change the fact that computationalism does not assume
universe at the start and as such you can't use such assumption.

Quentin


2013/10/24 Richard Ruquist yann...@gmail.com

 The recent observation of a galaxy 30 billion light years away, just 700
 million years after the Big Bang, suggests that the universe is finite.


 On Thu, Oct 24, 2013 at 8:57 AM, Quentin Anciaux allco...@gmail.comwrote:

 Comp does not assume universe at the start... also the fact if the
 universe is finite or not is not settle. But anyway fact of physical laws
 have to be recovered from comp alone.

 Quentin


 2013/10/24 Richard Ruquist yann...@gmail.com

 Quentin,
 Perhaps that assumption of unlimited bits for computation is unwarranted
 in a finite universe.
 In my paper I circumvent that limitation by assuming that the metaverse
 is the computational source of matter.
 http://vixra.org/abs/1303.0194
 Richard


 On Thu, Oct 24, 2013 at 8:20 AM, Quentin Anciaux allco...@gmail.comwrote:

 Computationalism doesn't assume the universe (or any universe) at the
 start, just only arithmetical realism, it is not limited in any fashion,
 universe/matter is an emergent phenomena not a primary ontological
 substance.


 2013/10/24 Richard Ruquist yann...@gmail.com

 How does one obtain an infinity of computations in a universe of
 limited bits of information.
 For example our universe is thought to be limited to 10^120 bits, the
 so-called Lloyd Limit.


 On Thu, Oct 24, 2013 at 2:54 AM, Quentin Anciaux 
 allco...@gmail.comwrote:




 2013/10/24 Chris de Morsella cdemorse...@yahoo.com

 ** **

 ** **

 *From:* everything-list@googlegroups.com [mailto:
 everything-list@googlegroups.com] *On Behalf Of *Bruno Marchal
 *Sent:* Wednesday, October 23, 2013 5:45 AM

 *To:* everything-list@googlegroups.com
 *Subject:* Re: String theory and superconductors and classical
 liquids...

 ** **

 ** **

 On 23 Oct 2013, at 02:15, Chris de Morsella wrote:



 

  

  

 *From:* everything-list@googlegroups.com [
 mailto:everything-list@googlegroups.comeverything-list@googlegroups.com
 ] *On Behalf Of *Bruno Marchal
 *Sent:* Tuesday, October 22, 2013 9:50 AM
 *To:* everything-list@googlegroups.com
 *Subject:* Re: String theory and superconductors and classical
 liquids...

  

  

 On 22 Oct 2013, at 04:20, Russell Standish wrote:




 

 On Tue, Oct 22, 2013 at 02:49:40PM +1300, LizR wrote:


 

 I missed that 10^-48 is rather an impressive result. Is that
 definitive -

 granularity has to be that small - or merely suggestive?

  

 It does suggest the possibility of a lot of internal structure inside
 

 fundamental particles!

  

  

 On 22 October 2013 14:43, Richard Ruquist yann...@gmail.com wrote:
 

  

 The 10^-48 meters for the upper limit on grannular size of space is
 better

 compared to the Planck Scale at 10^-35.

 So space is smooth at least to 10^-13 Planck scales consistent with
 Fermi

 gamma ray arrival results. Gamma rays a factor of ten different in
 energy

 arrived from across the universe at the same time whereas
 granularity would

 delay one measurably.

  

  


 Indeed this seems an important empiricial result, ruling out certain
 classes of models, including, dare I say, Wolfram's NKS.

 However, it does not rule out computationalism, nor the countability
 of observer moments, as I've point out many time, as space-time is
 most likely a model construct, rather than actually being something
 physical out there. It is something Allen Francom bangs on about
 too,
 which I tend to agree with, although admittedly I've gotten lost with
 his Brownian Quantum Universe models.

  

 Computationalism implies non classical granularity possible, but
 quantum granularity is not excluded, with a qubit being described by 
 some
 continuum aI0 + bI1 (a and b complex).

  

 The results seem to exclude any theories that rely on a classic
 granularity of space time with the scale this granularity would need to 
 be
 under being pushed far below the Planck scale.

  

 The basic ontology can be discrete (indeed arithmetical), but the
 physical (and the theological) should reasonably have continuous 
 observable
 (even if those are only the frequency operators, and that *only* the
 probabilities reflect the continuum. Needless to say those are open
 problems).

  

 I was thinking some recent observations tended to rule out
 granularity. Hard questions, 

Douglas Hofstadter Article

2013-10-24 Thread Craig Weinberg
http://www.theatlantic.com/magazine/archive/2013/11/the-man-who-would-teach-machines-to-think/309529/

The Man Who Would Teach Machines to Think

...Take Deep Blue, the IBM supercomputer that bested the chess grandmaster 
Garry Kasparov. Deep Blue won by brute force. For each legal move it could 
make at a given point in the game, it would consider its opponent’s 
responses, its own responses to those responses, and so on for six or more 
steps down the line. With a fast evaluation function, it would calculate a 
score for each possible position, and then make the move that led to the 
best score. What allowed Deep Blue to beat the world’s best humans was raw 
computational power. It could evaluate up to 330 million positions a 
second, while Kasparov could evaluate only a few dozen before having to 
make a decision. 

Hofstadter wanted to ask: Why conquer a task if there’s no insight to be 
had from the victory? “Okay,” he says, “Deep Blue plays very good chess—so 
what? Does that tell you something about how *we* play chess? No. Does it 
tell you about how Kasparov envisions, understands a chessboard?” A brand 
of AI that didn’t try to answer such questions—however impressive it might 
have been—was, in Hofstadter’s mind, a diversion. He distanced himself from 
the field almost as soon as he became a part of it. “To me, as a fledgling 
AI person,” he says, “it was self-evident that I did not want to get 
involved in that trickery. It was obvious: I don’t want to be involved in 
passing off some fancy program’s behavior for intelligence when I know that 
it has nothing to do with intelligence. And I don’t know why more people 
aren’t that way...”

This is precisely my argument against John Clark's position.

Another quote I will be stealing:

Airplanes don’t flap their wings; why should computers think?

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Re: Douglas Hofstadter Article

2013-10-24 Thread Telmo Menezes
On Thu, Oct 24, 2013 at 6:39 PM, Craig Weinberg whatsons...@gmail.com wrote:
 http://www.theatlantic.com/magazine/archive/2013/11/the-man-who-would-teach-machines-to-think/309529/

 The Man Who Would Teach Machines to Think

 ...Take Deep Blue, the IBM supercomputer that bested the chess grandmaster
 Garry Kasparov. Deep Blue won by brute force. For each legal move it could
 make at a given point in the game, it would consider its opponent’s
 responses, its own responses to those responses, and so on for six or more
 steps down the line. With a fast evaluation function, it would calculate a
 score for each possible position, and then make the move that led to the
 best score. What allowed Deep Blue to beat the world’s best humans was raw
 computational power. It could evaluate up to 330 million positions a second,
 while Kasparov could evaluate only a few dozen before having to make a
 decision.

 Hofstadter wanted to ask: Why conquer a task if there’s no insight to be had
 from the victory? “Okay,” he says, “Deep Blue plays very good chess—so what?
 Does that tell you something about how we play chess? No. Does it tell you
 about how Kasparov envisions, understands a chessboard?” A brand of AI that
 didn’t try to answer such questions—however impressive it might have
 been—was, in Hofstadter’s mind, a diversion. He distanced himself from the
 field almost as soon as he became a part of it. “To me, as a fledgling AI
 person,” he says, “it was self-evident that I did not want to get involved
 in that trickery. It was obvious: I don’t want to be involved in passing off
 some fancy program’s behavior for intelligence when I know that it has
 nothing to do with intelligence. And I don’t know why more people aren’t
 that way...”

I was just reading this too. I agree.

 This is precisely my argument against John Clark's position.

 Another quote I will be stealing:

 Airplanes don’t flap their wings; why should computers think?

I think the intended meaning is closer to: airplanes don't fly by
flapping their wings, why should computers be intelligent by
thinking?.

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Re: Dialetheism

2013-10-24 Thread Craig Weinberg


On Thursday, October 24, 2013 10:16:55 AM UTC-4, Bruno Marchal wrote:


 On 23 Oct 2013, at 20:07, Craig Weinberg wrote:



 On Wednesday, October 23, 2013 12:34:05 PM UTC-4, Bruno Marchal wrote:

 snip

 My problem is that you need   
 to do the math to evaluate how much seriously you can take this remark.

 Under comp, why couldn't I just imagine tasting the flavor of the math 
 instead?


 With comp, when you test the flavor of coffee, you do, actually,  test the 
 flavor of some math. 


That's what I am saying. It would have to be the case under comp. My point 
though is that it is absurd. Tasting something gives us no mathematical 
understanding. The understanding that flavor does provide is the opposite 
of math. It is immediate (although develops briefly through time as well), 
it is irreducible to anything other than flavor, and it does not consist of 
'stepped reckoning' of any kind, it is an aesthetic gestalt.
 

 But you test it from the inside of math, and so it looks different from 
 the math we learn at school. That it looks different is explainable by any 
 Löbian machine,


Taste doesn't look like anything though, and it cannot ever look like 
anything. If it did, then it would be vision. If it could be vision, then 
it would be profoundly redundant to have both senses of the same 
data...(assuming that Santa Claus has brought the possibility of senses to 
begin with.)

and can be understood intuitively with some training in the comp thought 
 experiment. The difference are accounted by the intensional nuance of 
 Gödel's provability. 


I don't think it is. It seems clear to me that any mechanical accounting of 
sense implicitly takes sense for granted from the start. There is no 
functional difference between sight, smell, feeling, hearing, etc. There is 
no intensional nuance that ties to the possibility of any one of them - 
only a grey box where something like virtual proof could theoretically live.

Craig


Bruno


 http://iridia.ulb.ac.be/~marchal/





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Re: Douglas Hofstadter Article

2013-10-24 Thread Craig Weinberg


On Thursday, October 24, 2013 12:43:49 PM UTC-4, telmo_menezes wrote:

 On Thu, Oct 24, 2013 at 6:39 PM, Craig Weinberg 
 whats...@gmail.comjavascript: 
 wrote: 
  
 http://www.theatlantic.com/magazine/archive/2013/11/the-man-who-would-teach-machines-to-think/309529/
  
  
  The Man Who Would Teach Machines to Think 
  
  ...Take Deep Blue, the IBM supercomputer that bested the chess 
 grandmaster 
  Garry Kasparov. Deep Blue won by brute force. For each legal move it 
 could 
  make at a given point in the game, it would consider its opponent’s 
  responses, its own responses to those responses, and so on for six or 
 more 
  steps down the line. With a fast evaluation function, it would calculate 
 a 
  score for each possible position, and then make the move that led to the 
  best score. What allowed Deep Blue to beat the world’s best humans was 
 raw 
  computational power. It could evaluate up to 330 million positions a 
 second, 
  while Kasparov could evaluate only a few dozen before having to make a 
  decision. 
  
  Hofstadter wanted to ask: Why conquer a task if there’s no insight to be 
 had 
  from the victory? “Okay,” he says, “Deep Blue plays very good chess—so 
 what? 
  Does that tell you something about how we play chess? No. Does it tell 
 you 
  about how Kasparov envisions, understands a chessboard?” A brand of AI 
 that 
  didn’t try to answer such questions—however impressive it might have 
  been—was, in Hofstadter’s mind, a diversion. He distanced himself from 
 the 
  field almost as soon as he became a part of it. “To me, as a fledgling 
 AI 
  person,” he says, “it was self-evident that I did not want to get 
 involved 
  in that trickery. It was obvious: I don’t want to be involved in passing 
 off 
  some fancy program’s behavior for intelligence when I know that it has 
  nothing to do with intelligence. And I don’t know why more people aren’t 
  that way...” 

 I was just reading this too. I agree. 

  This is precisely my argument against John Clark's position. 
  
  Another quote I will be stealing: 
  
  Airplanes don’t flap their wings; why should computers think? 

 I think the intended meaning is closer to: airplanes don't fly by 
 flapping their wings, why should computers be intelligent by 
 thinking?. 


It depends whether you want 'thinking' to imply awareness or not. I think 
the point is that we should not assume that computation is in any way 
'thinking' (or intelligence for that matter). I think that 'thinking' is 
not passive enough to describe computation. It is to say that a net is 
'fishing'. Computation is many nets within nets, devoid of intention or 
perspective. It does the opposite of thinking, it is a method for 
petrifying the measurable residue or reflection of thought.



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Re: Dialetheism

2013-10-24 Thread Bruno Marchal


On 24 Oct 2013, at 00:15, meekerdb wrote:


On 10/23/2013 9:34 AM, Bruno Marchal wrote:


On 23 Oct 2013, at 17:39, Craig Weinberg wrote:


http://en.wikipedia.org/wiki/Dialetheism

Dialetheism is the view that some statements can be both true and  
false simultaneously. More precisely, it is the belief that there  
can be a true statement whose negation is also true. Such  
statements are called true contradictions, or dialetheia.


Dialetheism is not a system of formal logic; instead, it is a  
thesis about truth, that influences the construction of a formal  
logic, often based on pre-existing systems. Introducing  
dialetheism has various consequences, depending on the theory into  
which it is introduced. For example, in traditional systems of  
logic (e.g., classical logic and intuitionistic logic), every  
statement becomes true if a contradiction is true; this means that  
such systems become trivial when dialetheism is included as an  
axiom. Other logical systems do not explode in this manner when  
contradictions are introduced; such contradiction-tolerant systems  
are known as paraconsistent logics.


Graham Priest defines dialetheism as the view that there are true  
contradictions. JC Beall is another advocate; his position differs  
from Priest's in advocating constructive (methodological)  
deflationism regarding the truth predicate.

Dialetheism resolves certain paradoxes

The Liar's paradox and Russell's paradox deal with self- 
contradictory statements in classical logic and naïve set theory,  
respectively. Contradictions are problematic in these theories  
because they cause the theories to explode—if a contradiction is  
true, then every proposition is true. The classical way to solve  
this problem is to ban contradictory statements, to revise the  
axioms of the logic so that self-contradictory statements do not  
appear. Dialetheists, on the other hand, respond to this problem  
by accepting the contradictions as true. Dialetheism allows for  
the unrestricted axiom of comprehension in set theory, claiming  
that any resulting contradiction is a theorem.


It occurs to me that MWI is a way of substantiating dialetheism as  
a physical reality...in order to avoid having to internalize the  
possibility of dialetheism metaphysically.


No problem with that. Like Everett restore 3p-determinacy, comp  
restore also non-dialetheism, metaphysically, but does not (and  
cannot) disallow it it in some machine's mind.


G*  says it; D(Bp  B~p), or ([]p  []~p). read: it is consistent  
that  p is believed  and that ~p is believed, by the Löbian machine.

The machine cannot know that, note.


Sure.  That's because logic assumes that if p=q then q can be  
substituted for p.  Hence if you believe the morning star is a  
goddess and the evening star is a planet, you may believe a  
contradiction - but not if you know it.


That is a bit unclear to me. Substitution of equivalent if always  
dangerous in modal contexts. The reason is perhaps more prosaic, which  
is that a machine who believe in its inconsistency believes in some  
infinite (non-standard) number(s), she agrees that 0 is not Gödel  
number of a proof of f, nor are 1, 2, 3, ... , but yet she believes in  
some number representing a proof of f.


Humans have a big non monotonical logic layers, making them able to  
say I was wrong, and able to revise previews opinions.
Evolution might  exploit truth and relative lies too. That leads to  
complex questions.


Correcteness is when you forget all the lies, and nothing more. If you  
survive that, you get Löbian by necessity, and your physics will not  
change, normally (with comp).


No doubt that human actual theologies are more complex than the  
theology of the correct universal machine, platonist, and believing  
not in much more than the universal base (number, or combinator,  
or ...).


But PA, ZF, are only sort of Escherichia Coli of the person. They  
get personhood by the intensional nuances of the provability  
predicate.  Detrivializing their physics and theology (the simplest  
one as it might be, but it is already quite rich).


Look how much information we already get in the UDA, where a person is  
defined by just the accessible memory (the diary entangled though  
their accompaniment in the annihilations and reconstitutions).


In the arithmetical version, a person is defined by a universal number  
with enough introspection and induction ability. PA and ZF are well  
known typical example. And incompleteness allows to define a notion  
of knowledge associate to them, and a notion of observation.


We all have a Löbian part, as believer in PA's axioms, for example. I  
think that that part is already conscious when we assume consciousness  
is invariant for the genuine universal digital substitution. The  
universal machine defines a canonical universal person, and the Löbian  
one, which knows, in some weaker sense that the Theaetetus' one, that  
they are 

Re: String theory and superconductors and classical liquids...

2013-10-24 Thread Bruno Marchal


On 24 Oct 2013, at 08:54, Quentin Anciaux wrote:





2013/10/24 Chris de Morsella cdemorse...@yahoo.com




From: everything-list@googlegroups.com [mailto:everything-list@googlegroups.com 
] On Behalf Of Bruno Marchal

Sent: Wednesday, October 23, 2013 5:45 AM


To: everything-list@googlegroups.com
Subject: Re: String theory and superconductors and classical  
liquids...






Keep in mind the difference between 1) the computationalist  
hypothesis in philosophy of mind, and 2) the hypothesis that the  
universe is the product of some program.




2) implies 1)



but



1) implies the negation of 2)(this can be explained with the  
thought experiment like in the UDA).




In particular 2) implies the negation of 2), and so is self- 
contradictory.




Bruno



You lost me here… why does 1) negate 2)?


Because 1 implies matter is the result of an infinity of  
computations below the substitution level (there is an infinity of  
computations going through your current state). 2 implies matter is  
the result of one specific computation. 2 implies 1, 1 implies ~2 =  
2 = ~2.



OK?

No more question?

I have to go, might add comments later.

Bruno






Quentin


Is it because 1) requires some external observable that is not a  
part of itself


As seems suggested by saying 2) implies the negation of 2)

Which would be the hall of mirrors of the observing entity requiring  
an external observable in order to even know it exists. Unless  
something could be perfectly self-referential, which I sense you  
doubt.




perhaps just the sound of me flailing around J

Chris



http://iridia.ulb.ac.be/~marchal/







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We solved the problem evil, sort of...

2013-10-24 Thread Stephen Lin
Instead of spending all our efforts correcting each other's faults, we
should just all agree to spend a little bit of effort coming up with really
good excuses for each other. It accomplishes the same thing in the end, and
it's much much easier. **

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About creating a singlarity

2013-10-24 Thread Stephen Lin
Creating a singularity is not the hard part: the hard part is making sure
you only create one.

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About the Panopticon again (sorry I lost the e-mail)

2013-10-24 Thread Stephen Lin
Who watches the watchers? is a good question, but a better question is
Given a definition of watching and watchers, what is the least cardinality
of watchers required such that all watching is watched by at least one
watcher? The answer might be a lot smaller than you think it is...

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The last truth that ever matters:

2013-10-24 Thread Stephen Lin
Him: God has shown me all truth, but your love is beauty beyond
comprehension.

Her: God has shown me all beauty, but your love is truth beyond imagination.

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Re: Douglas Hofstadter Article

2013-10-24 Thread John Mikes
Craig and Telmo:
Is anticipation involved at all? Deep Blue anticipated hundreds of steps
in advance (and evaluated a potential outcome before accepting, or
rejecting).
What else is in thinking involved? I would like to know, because I have
no idea.
John Mikes


On Thu, Oct 24, 2013 at 1:02 PM, Craig Weinberg whatsons...@gmail.comwrote:



 On Thursday, October 24, 2013 12:43:49 PM UTC-4, telmo_menezes wrote:

 On Thu, Oct 24, 2013 at 6:39 PM, Craig Weinberg whats...@gmail.com
 wrote:
  http://www.theatlantic.com/**magazine/archive/2013/11/the-**
 man-who-would-teach-machines-**to-think/309529/http://www.theatlantic.com/magazine/archive/2013/11/the-man-who-would-teach-machines-to-think/309529/
 
  The Man Who Would Teach Machines to Think
 
  ...Take Deep Blue, the IBM supercomputer that bested the chess
 grandmaster
  Garry Kasparov. Deep Blue won by brute force. For each legal move it
 could
  make at a given point in the game, it would consider its opponent’s
  responses, its own responses to those responses, and so on for six or
 more
  steps down the line. With a fast evaluation function, it would
 calculate a
  score for each possible position, and then make the move that led to
 the
  best score. What allowed Deep Blue to beat the world’s best humans was
 raw
  computational power. It could evaluate up to 330 million positions a
 second,
  while Kasparov could evaluate only a few dozen before having to make a
  decision.
 
  Hofstadter wanted to ask: Why conquer a task if there’s no insight to
 be had
  from the victory? “Okay,” he says, “Deep Blue plays very good chess—so
 what?
  Does that tell you something about how we play chess? No. Does it tell
 you
  about how Kasparov envisions, understands a chessboard?” A brand of AI
 that
  didn’t try to answer such questions—however impressive it might have
  been—was, in Hofstadter’s mind, a diversion. He distanced himself from
 the
  field almost as soon as he became a part of it. “To me, as a fledgling
 AI
  person,” he says, “it was self-evident that I did not want to get
 involved
  in that trickery. It was obvious: I don’t want to be involved in
 passing off
  some fancy program’s behavior for intelligence when I know that it has
  nothing to do with intelligence. And I don’t know why more people
 aren’t
  that way...”

 I was just reading this too. I agree.

  This is precisely my argument against John Clark's position.
 
  Another quote I will be stealing:
 
  Airplanes don’t flap their wings; why should computers think?

 I think the intended meaning is closer to: airplanes don't fly by
 flapping their wings, why should computers be intelligent by
 thinking?.


 It depends whether you want 'thinking' to imply awareness or not. I think
 the point is that we should not assume that computation is in any way
 'thinking' (or intelligence for that matter). I think that 'thinking' is
 not passive enough to describe computation. It is to say that a net is
 'fishing'. Computation is many nets within nets, devoid of intention or
 perspective. It does the opposite of thinking, it is a method for
 petrifying the measurable residue or reflection of thought.



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Re: Douglas Hofstadter Article

2013-10-24 Thread Craig Weinberg
On Thursday, October 24, 2013 3:08:26 PM UTC-4, JohnM wrote:

 Craig and Telmo:
 Is anticipation involved at all? Deep Blue anticipated hundreds of steps 
 in advance (and evaluated a potential outcome before accepting, or 
 rejecting).
 What else is in thinking involved? I would like to know, because I have 
 no idea. 
 John Mikes


It's hard to talk about the particulars of pseudo-sentience, since all of 
our language is geared toward the assumption of sentience. We haven't had 
time to develop terms to discern between map and territory when the 
territory is a trompe l'oeil illusion.

When we think, we are rehearsing or pretending to some extent. It is an act 
of imagination that is anticipatory. The etymology of anticipate traces 
back to a sense of taking into possession beforehand,. Did Deep Blue take 
anything into possession, or did it merely exhaust its ritual of mindless 
reductions - compressing a fourth dimensional object of game permutations 
into a one dimensional path which matches its mindless criteria?

What a computer does would be thinking if it could care what it was 
thinking about, but since it is built from the outside in, it is incapable 
of caring about the games that we designed it to play. It isn't playing a 
game at all, it is filtering one abstract pattern against another without 
reference to 'before' or 'after'. It's not anticipating from its point of 
view, it's just rendering a set of positions which satisfy a rule.

I think that what complicates the story is that the power of human thought 
is in it's distance from the feelings and sensations that it has evolved 
from. Think of the evolution of the human experience as an artistic 
movement, which has oscillated between realism, impressionism, cubism, and 
now finally abstract minimalism. Without the whole history of art behind 
it, the stark forms of minimalism seem simple and mechanical...and they 
are, in the absence of an appreciation of the whole story of art. Thinking 
is an art that acts like a science. Computation is a science which we can 
use to frame art. The danger is that we have overlooked what has led up to 
thinking and now mistake the frame for the canvas.

Thanks,
Craig
 



 On Thu, Oct 24, 2013 at 1:02 PM, Craig Weinberg 
 whats...@gmail.comjavascript:
  wrote:



 On Thursday, October 24, 2013 12:43:49 PM UTC-4, telmo_menezes wrote:

 On Thu, Oct 24, 2013 at 6:39 PM, Craig Weinberg whats...@gmail.com 
 wrote: 
  http://www.theatlantic.com/**magazine/archive/2013/11/the-**
 man-who-would-teach-machines-**to-think/309529/http://www.theatlantic.com/magazine/archive/2013/11/the-man-who-would-teach-machines-to-think/309529/
  
  
  The Man Who Would Teach Machines to Think 
  
  ...Take Deep Blue, the IBM supercomputer that bested the chess 
 grandmaster 
  Garry Kasparov. Deep Blue won by brute force. For each legal move it 
 could 
  make at a given point in the game, it would consider its opponent’s 
  responses, its own responses to those responses, and so on for six or 
 more 
  steps down the line. With a fast evaluation function, it would 
 calculate a 
  score for each possible position, and then make the move that led to 
 the 
  best score. What allowed Deep Blue to beat the world’s best humans was 
 raw 
  computational power. It could evaluate up to 330 million positions a 
 second, 
  while Kasparov could evaluate only a few dozen before having to make a 
  decision. 
  
  Hofstadter wanted to ask: Why conquer a task if there’s no insight to 
 be had 
  from the victory? “Okay,” he says, “Deep Blue plays very good chess—so 
 what? 
  Does that tell you something about how we play chess? No. Does it tell 
 you 
  about how Kasparov envisions, understands a chessboard?” A brand of AI 
 that 
  didn’t try to answer such questions—however impressive it might have 
  been—was, in Hofstadter’s mind, a diversion. He distanced himself from 
 the 
  field almost as soon as he became a part of it. “To me, as a fledgling 
 AI 
  person,” he says, “it was self-evident that I did not want to get 
 involved 
  in that trickery. It was obvious: I don’t want to be involved in 
 passing off 
  some fancy program’s behavior for intelligence when I know that it has 
  nothing to do with intelligence. And I don’t know why more people 
 aren’t 
  that way...” 

 I was just reading this too. I agree. 

  This is precisely my argument against John Clark's position. 
  
  Another quote I will be stealing: 
  
  Airplanes don’t flap their wings; why should computers think? 

 I think the intended meaning is closer to: airplanes don't fly by 
 flapping their wings, why should computers be intelligent by 
 thinking?. 


 It depends whether you want 'thinking' to imply awareness or not. I think 
 the point is that we should not assume that computation is in any way 
 'thinking' (or intelligence for that matter). I think that 'thinking' is 
 not passive enough to describe computation. It is to say that a net is 
 

Re: For John Clark

2013-10-24 Thread John Clark
On Thu, Oct 24, 2013 at 10:10 AM, Bruno Marchal marc...@ulb.ac.be wrote:

That will not increase precision unless you give a name (and NOT a
 pronoun!) to the guy who wrote the diary, if its Mr. The Guy Who Is
 Experiencing Helsinki On October 21 2013  then the probability he will
 experience Washington is zero.


  Ridiculous, because in that case would implies [you] die in a
 duplication or teletransportation experiences.


 ^^^
Who would die? YOU would die. If you put a gun to Bruno Marchal's head
Bruno Marchal could still not coherently explain Bruno Marchal's ideas
about indeterminacy without using pronouns, the most indeterminate part of
the English language and made even more so by duplicating chambers.

 Do you think that [you] die in a self-duplication experience?

^^^
We've been  through this, it depends on who the hell you is. Is you the
guy who remembers being John Clark yesterday, or the guy who is seeing
Helsinki right now, or the guy that will see Washington tomorrow, or the
guy that will see Moscow tomorrow?

Bad ideas always sound better if they are imprecisely expressed, and there
is no better way to do that than using lots of personal pronouns in a world
that has people duplicating chambers in it.

  John K Clark

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Re: Douglas Hofstadter Article

2013-10-24 Thread Telmo Menezes
Hi John,

On Thu, Oct 24, 2013 at 9:08 PM, John Mikes jami...@gmail.com wrote:
 Craig and Telmo:
 Is anticipation involved at all? Deep Blue anticipated hundreds of steps
 in advance (and evaluated a potential outcome before accepting, or
 rejecting).

Sure. This issue though is that Deep Blue does this by brute force. It
computes billions of possible scenarios to arrive at a decision. It's
clear that human beings don't do that. They are more intelligent in
the sense that they can play competitively while only considering a
small fraction of the scenarios. How do we do this? There is almost no
real AI research nowadays because people gave up on answering this
question. It's related to many other interesting questions: how do we
read and understand the meaning of a text? Google is like something
with the intelligence of an ant (probably still way less) but vast
amounts of computational power. Again, this is brute-forcing the
problem and it doesn't come close to the level of understanding that a
smart 9 year old can have when reading.

On the linguistic side, Chomsky is also outspoken against the
statistical dumb approaches.

 What else is in thinking involved? I would like to know, because I have no
 idea.

Hofstadter's ideas are very deep and I don't claim to fully understand
them. I do think that is concept of strange loop is important. Every
time there's something we can't define (intelligence, life,
consciousness), strange loops seems to be involved. Strange loops
feedback across abstraction layers. Goals-feelings-cognition-Goals.
Environment-DNA-Organism-Environment and so on -- in a very
informal way, please pay no attention to the lack of rigour here.

I think this is compatible with comp and several thing that Bruno
alludes to. The insight also seems to come from similar sources --
notably Gödel's theorems.

On the engineering of AI side, I believe we are still in the middle
ages when it comes to computation environments and languages. One of
my intuitions is that languages that facilitate the creation of
self-modifying computer code are an important step.

Telmo.

 John Mikes


 On Thu, Oct 24, 2013 at 1:02 PM, Craig Weinberg whatsons...@gmail.com
 wrote:



 On Thursday, October 24, 2013 12:43:49 PM UTC-4, telmo_menezes wrote:

 On Thu, Oct 24, 2013 at 6:39 PM, Craig Weinberg whats...@gmail.com
 wrote:
 
  http://www.theatlantic.com/magazine/archive/2013/11/the-man-who-would-teach-machines-to-think/309529/
 
  The Man Who Would Teach Machines to Think
 
  ...Take Deep Blue, the IBM supercomputer that bested the chess
  grandmaster
  Garry Kasparov. Deep Blue won by brute force. For each legal move it
  could
  make at a given point in the game, it would consider its opponent’s
  responses, its own responses to those responses, and so on for six or
  more
  steps down the line. With a fast evaluation function, it would
  calculate a
  score for each possible position, and then make the move that led to
  the
  best score. What allowed Deep Blue to beat the world’s best humans was
  raw
  computational power. It could evaluate up to 330 million positions a
  second,
  while Kasparov could evaluate only a few dozen before having to make a
  decision.
 
  Hofstadter wanted to ask: Why conquer a task if there’s no insight to
  be had
  from the victory? “Okay,” he says, “Deep Blue plays very good chess—so
  what?
  Does that tell you something about how we play chess? No. Does it tell
  you
  about how Kasparov envisions, understands a chessboard?” A brand of AI
  that
  didn’t try to answer such questions—however impressive it might have
  been—was, in Hofstadter’s mind, a diversion. He distanced himself from
  the
  field almost as soon as he became a part of it. “To me, as a fledgling
  AI
  person,” he says, “it was self-evident that I did not want to get
  involved
  in that trickery. It was obvious: I don’t want to be involved in
  passing off
  some fancy program’s behavior for intelligence when I know that it has
  nothing to do with intelligence. And I don’t know why more people
  aren’t
  that way...”

 I was just reading this too. I agree.

  This is precisely my argument against John Clark's position.
 
  Another quote I will be stealing:
 
  Airplanes don’t flap their wings; why should computers think?

 I think the intended meaning is closer to: airplanes don't fly by
 flapping their wings, why should computers be intelligent by
 thinking?.


 It depends whether you want 'thinking' to imply awareness or not. I think
 the point is that we should not assume that computation is in any way
 'thinking' (or intelligence for that matter). I think that 'thinking' is not
 passive enough to describe computation. It is to say that a net is
 'fishing'. Computation is many nets within nets, devoid of intention or
 perspective. It does the opposite of thinking, it is a method for petrifying
 the measurable residue or reflection of thought.



  --
  You received this message because you are subscribed 

Re: Douglas Hofstadter Article

2013-10-24 Thread LizR
I think what Deep Blue does is similar to what *parts *of the brain do, and
it probably does *that* better (some human computers seem to use this
facility in a more direct way than most of us can). However obviously
something is missing - possibly the system that integrates all these little
engines into a whole. (Or possibly not...)


On 25 October 2013 08:55, Telmo Menezes te...@telmomenezes.com wrote:

 Hi John,

 On Thu, Oct 24, 2013 at 9:08 PM, John Mikes jami...@gmail.com wrote:
  Craig and Telmo:
  Is anticipation involved at all? Deep Blue anticipated hundreds of
 steps
  in advance (and evaluated a potential outcome before accepting, or
  rejecting).

 Sure. This issue though is that Deep Blue does this by brute force. It
 computes billions of possible scenarios to arrive at a decision. It's
 clear that human beings don't do that. They are more intelligent in
 the sense that they can play competitively while only considering a
 small fraction of the scenarios. How do we do this? There is almost no
 real AI research nowadays because people gave up on answering this
 question. It's related to many other interesting questions: how do we
 read and understand the meaning of a text? Google is like something
 with the intelligence of an ant (probably still way less) but vast
 amounts of computational power. Again, this is brute-forcing the
 problem and it doesn't come close to the level of understanding that a
 smart 9 year old can have when reading.

 On the linguistic side, Chomsky is also outspoken against the
 statistical dumb approaches.

  What else is in thinking involved? I would like to know, because I
 have no
  idea.

 Hofstadter's ideas are very deep and I don't claim to fully understand
 them. I do think that is concept of strange loop is important. Every
 time there's something we can't define (intelligence, life,
 consciousness), strange loops seems to be involved. Strange loops
 feedback across abstraction layers. Goals-feelings-cognition-Goals.
 Environment-DNA-Organism-Environment and so on -- in a very
 informal way, please pay no attention to the lack of rigour here.

 I think this is compatible with comp and several thing that Bruno
 alludes to. The insight also seems to come from similar sources --
 notably Gödel's theorems.

 On the engineering of AI side, I believe we are still in the middle
 ages when it comes to computation environments and languages. One of
 my intuitions is that languages that facilitate the creation of
 self-modifying computer code are an important step.

 Telmo.

  John Mikes
 
 
  On Thu, Oct 24, 2013 at 1:02 PM, Craig Weinberg whatsons...@gmail.com
  wrote:
 
 
 
  On Thursday, October 24, 2013 12:43:49 PM UTC-4, telmo_menezes wrote:
 
  On Thu, Oct 24, 2013 at 6:39 PM, Craig Weinberg whats...@gmail.com
  wrote:
  
  
 http://www.theatlantic.com/magazine/archive/2013/11/the-man-who-would-teach-machines-to-think/309529/
  
   The Man Who Would Teach Machines to Think
  
   ...Take Deep Blue, the IBM supercomputer that bested the chess
   grandmaster
   Garry Kasparov. Deep Blue won by brute force. For each legal move it
   could
   make at a given point in the game, it would consider its opponent’s
   responses, its own responses to those responses, and so on for six or
   more
   steps down the line. With a fast evaluation function, it would
   calculate a
   score for each possible position, and then make the move that led to
   the
   best score. What allowed Deep Blue to beat the world’s best humans
 was
   raw
   computational power. It could evaluate up to 330 million positions a
   second,
   while Kasparov could evaluate only a few dozen before having to make
 a
   decision.
  
   Hofstadter wanted to ask: Why conquer a task if there’s no insight to
   be had
   from the victory? “Okay,” he says, “Deep Blue plays very good
 chess—so
   what?
   Does that tell you something about how we play chess? No. Does it
 tell
   you
   about how Kasparov envisions, understands a chessboard?” A brand of
 AI
   that
   didn’t try to answer such questions—however impressive it might have
   been—was, in Hofstadter’s mind, a diversion. He distanced himself
 from
   the
   field almost as soon as he became a part of it. “To me, as a
 fledgling
   AI
   person,” he says, “it was self-evident that I did not want to get
   involved
   in that trickery. It was obvious: I don’t want to be involved in
   passing off
   some fancy program’s behavior for intelligence when I know that it
 has
   nothing to do with intelligence. And I don’t know why more people
   aren’t
   that way...”
 
  I was just reading this too. I agree.
 
   This is precisely my argument against John Clark's position.
  
   Another quote I will be stealing:
  
   Airplanes don’t flap their wings; why should computers think?
 
  I think the intended meaning is closer to: airplanes don't fly by
  flapping their wings, why should computers be intelligent by
  thinking?.
 
 
  It depends whether you want 

Re: For John Clark

2013-10-24 Thread Quentin Anciaux
2013/10/24 John Clark johnkcl...@gmail.com


 On Thu, Oct 24, 2013 at 10:10 AM, Bruno Marchal marc...@ulb.ac.be wrote:

  That will not increase precision unless you give a name (and NOT a
 pronoun!) to the guy who wrote the diary, if its Mr. The Guy Who Is
 Experiencing Helsinki On October 21 2013  then the probability he will
 experience Washington is zero.


  Ridiculous, because in that case would implies [you] die in a
 duplication or teletransportation experiences.


  ^^^
 Who would die? YOU would die. If you put a gun to Bruno Marchal's head
 Bruno Marchal could still not coherently explain Bruno Marchal's ideas
 about indeterminacy without using pronouns, the most indeterminate part of
 the English language and made even more so by duplicating chambers.

  Do you think that [you] die in a self-duplication experience?

 ^^^
 We've been  through this, it depends on who the hell you is. Is you
 the guy who remembers being John Clark yesterday, or the guy who is seeing
 Helsinki right now, or the guy that will see Washington tomorrow, or the
 guy that will see Moscow tomorrow?

 Bad ideas always sound better if they are imprecisely expressed, and there
 is no better way to do that than using lots of personal pronouns in a world
 that has people duplicating chambers in it.

   John K Clark


Be consistent, reject MWI, or ask *the same question* about the probability
of *you* (who is you ? pinocchio maybe ?) measuring spin up while measuring
the spin of an electron... thing is, there you don't ask these dumb
questions, only in nanoscopically tiny tiny fractions of the multiverse
will you ever stop playing that dumb. Your agenda is not to try to
comprehend something, it is just to bash someone with no reason except
misplaced pride.

Quentin



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Re: What's my name and what do you think I need to help me along my journey?

2013-10-24 Thread LizR
I'm just glad that no one's called me a lame ass dilletante yet. Maybe
I'm doing something right after all!

Still while we're on the subject of koans, wisdom etc...

Stephen Lin seems like a 60 watt desk lamp that keeps blinking on and off
in a room full of 1000 watt uplighters...

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Re: Douglas Hofstadter Article

2013-10-24 Thread Telmo Menezes
On Thu, Oct 24, 2013 at 7:02 PM, Craig Weinberg whatsons...@gmail.com wrote:


 On Thursday, October 24, 2013 12:43:49 PM UTC-4, telmo_menezes wrote:

 On Thu, Oct 24, 2013 at 6:39 PM, Craig Weinberg whats...@gmail.com
 wrote:
 
  http://www.theatlantic.com/magazine/archive/2013/11/the-man-who-would-teach-machines-to-think/309529/
 
  The Man Who Would Teach Machines to Think
 
  ...Take Deep Blue, the IBM supercomputer that bested the chess
  grandmaster
  Garry Kasparov. Deep Blue won by brute force. For each legal move it
  could
  make at a given point in the game, it would consider its opponent’s
  responses, its own responses to those responses, and so on for six or
  more
  steps down the line. With a fast evaluation function, it would calculate
  a
  score for each possible position, and then make the move that led to the
  best score. What allowed Deep Blue to beat the world’s best humans was
  raw
  computational power. It could evaluate up to 330 million positions a
  second,
  while Kasparov could evaluate only a few dozen before having to make a
  decision.
 
  Hofstadter wanted to ask: Why conquer a task if there’s no insight to be
  had
  from the victory? “Okay,” he says, “Deep Blue plays very good chess—so
  what?
  Does that tell you something about how we play chess? No. Does it tell
  you
  about how Kasparov envisions, understands a chessboard?” A brand of AI
  that
  didn’t try to answer such questions—however impressive it might have
  been—was, in Hofstadter’s mind, a diversion. He distanced himself from
  the
  field almost as soon as he became a part of it. “To me, as a fledgling
  AI
  person,” he says, “it was self-evident that I did not want to get
  involved
  in that trickery. It was obvious: I don’t want to be involved in passing
  off
  some fancy program’s behavior for intelligence when I know that it has
  nothing to do with intelligence. And I don’t know why more people aren’t
  that way...”

 I was just reading this too. I agree.

  This is precisely my argument against John Clark's position.
 
  Another quote I will be stealing:
 
  Airplanes don’t flap their wings; why should computers think?

 I think the intended meaning is closer to: airplanes don't fly by
 flapping their wings, why should computers be intelligent by
 thinking?.


 It depends whether you want 'thinking' to imply awareness or not.

Ok. I don't think we can know that in any case.

 I think
 the point is that we should not assume that computation is in any way
 'thinking' (or intelligence for that matter). I think that 'thinking' is not
 passive enough to describe computation. It is to say that a net is
 'fishing'. Computation is many nets within nets, devoid of intention or
 perspective. It does the opposite of thinking, it is a method for petrifying
 the measurable residue or reflection of thought.

Ok but let's take a human grand master playing chess. You don't think
a computer can play like him?



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Re: Time as an emergent phenomenon

2013-10-24 Thread LizR
This actually seems rather similar to the picture of the universe
Barrington Bayley came up with in Collision with Chronos, in my opinion.

http://en.wikipedia.org/wiki/Collision_Course_%28Bayley_novel%29
http://www.oivas.com/bjb/bsr2.html



On 25 October 2013 05:02, Richard Ruquist yann...@gmail.com wrote:

 From SR and GR, photons are static in time.
 So I do not understand how differences in photon time can emerge.


 On Thu, Oct 24, 2013 at 10:25 AM, Bruno Marchal marc...@ulb.ac.be wrote:


 On 23 Oct 2013, at 22:48, LizR wrote:

 I will be reading this as soon as I get the time,  I mean the emergent
 phenomenon...but thought in the meantime you guys might be interested :-)

 https://medium.com/the-physics-arxiv-blog/d5d3dc850933

 I may have comments once I've had a chance to read it!


 Very interesting, and quite close the way time, and space have to appear
 from a universal number points of view, in case the normal measure does not
 contain too much white rabbits, which needs to be verify.

 Now, I thought, perhaps naively, that after Einstein and Gödel, no one
 serious still believed in a real time. Here I allude to Gödel's work in
 General Relativity.

 I recommend the reading of the book of Palle Yourgreau, which made me
 realize that perhaps not so much scientist have understood the vanishing of
 time, in physics.

 But the link you provided is not just on the disparition (and
 phenomenological emergence) of time, but on an elegant way to recover it in
 a first person plural ways, and a way to test this.

 Bruno



  http://iridia.ulb.ac.be/~marchal/



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Re: String theory and superconductors and classical liquids...

2013-10-24 Thread LizR
The galaxy is probably 30 bn light years away NOW (leaving aside exactly
what now means cosmologically) but we see its image from when it was 13 bn
light years away. In the intervening 13bn years it has moved another 17bn
light years (universal expansion not being limited to c).

Or so I'm reliably informed...


On 25 October 2013 06:46, Bruno Marchal marc...@ulb.ac.be wrote:


 On 24 Oct 2013, at 08:54, Quentin Anciaux wrote:




 2013/10/24 Chris de Morsella cdemorse...@yahoo.com

 ** **

 ** **

 *From:* everything-list@googlegroups.com [mailto:
 everything-list@googlegroups.com] *On Behalf Of *Bruno Marchal
 *Sent:* Wednesday, October 23, 2013 5:45 AM

 *To:* everything-list@googlegroups.com
 *Subject:* Re: String theory and superconductors and classical liquids...
 

 **

 ** **

 Keep in mind the difference between 1) the computationalist hypothesis in
 philosophy of mind, and 2) the hypothesis that the universe is the
 product of some program.

 ** **

 2) implies 1)

 ** **

 but

 ** **

 1) implies the negation of 2)(this can be explained with the thought
 experiment like in the UDA).

 ** **

 In particular 2) implies the negation of 2), and so is self-contradictory.
 

 ** **

 Bruno

 ** **

 You lost me here… why does 1) negate 2)?


 Because 1 implies matter is the result of an infinity of computations
 below the substitution level (there is an infinity of computations going
 through your current state). 2 implies matter is the result of one specific
 computation. 2 implies 1, 1 implies ~2 = 2 = ~2.



 OK?

 No more question?

 I have to go, might add comments later.

 Bruno





 Quentin


 

 Is it because 1) requires some external observable that is not a part of
 itself

 As seems suggested by saying 2) implies the negation of 2) 

 Which would be the hall of mirrors of the observing entity requiring an
 external observable in order to even know it exists. Unless something could
 be perfectly self-referential, which I sense you doubt.

 ** **

 perhaps just the sound of me flailing around J

 Chris

 ** **

 http://iridia.ulb.ac.be/~marchal/

 ** **

 ** **

 ** **

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Re: Douglas Hofstadter Article

2013-10-24 Thread Platonist Guitar Cowboy
On Thu, Oct 24, 2013 at 11:29 PM, Telmo Menezes te...@telmomenezes.comwrote:

 On Thu, Oct 24, 2013 at 7:02 PM, Craig Weinberg whatsons...@gmail.com
 wrote:
 
 
  On Thursday, October 24, 2013 12:43:49 PM UTC-4, telmo_menezes wrote:
 
  On Thu, Oct 24, 2013 at 6:39 PM, Craig Weinberg whats...@gmail.com
  wrote:
  
  
 http://www.theatlantic.com/magazine/archive/2013/11/the-man-who-would-teach-machines-to-think/309529/
  
   The Man Who Would Teach Machines to Think
  
   ...Take Deep Blue, the IBM supercomputer that bested the chess
   grandmaster
   Garry Kasparov. Deep Blue won by brute force. For each legal move it
   could
   make at a given point in the game, it would consider its opponent’s
   responses, its own responses to those responses, and so on for six or
   more
   steps down the line. With a fast evaluation function, it would
 calculate
   a
   score for each possible position, and then make the move that led to
 the
   best score. What allowed Deep Blue to beat the world’s best humans was
   raw
   computational power. It could evaluate up to 330 million positions a
   second,
   while Kasparov could evaluate only a few dozen before having to make a
   decision.
  
   Hofstadter wanted to ask: Why conquer a task if there’s no insight to
 be
   had
   from the victory? “Okay,” he says, “Deep Blue plays very good chess—so
   what?
   Does that tell you something about how we play chess? No. Does it tell
   you
   about how Kasparov envisions, understands a chessboard?” A brand of AI
   that
   didn’t try to answer such questions—however impressive it might have
   been—was, in Hofstadter’s mind, a diversion. He distanced himself from
   the
   field almost as soon as he became a part of it. “To me, as a fledgling
   AI
   person,” he says, “it was self-evident that I did not want to get
   involved
   in that trickery. It was obvious: I don’t want to be involved in
 passing
   off
   some fancy program’s behavior for intelligence when I know that it has
   nothing to do with intelligence. And I don’t know why more people
 aren’t
   that way...”
 
  I was just reading this too. I agree.
 
   This is precisely my argument against John Clark's position.
  
   Another quote I will be stealing:
  
   Airplanes don’t flap their wings; why should computers think?
 
  I think the intended meaning is closer to: airplanes don't fly by
  flapping their wings, why should computers be intelligent by
  thinking?.
 
 
  It depends whether you want 'thinking' to imply awareness or not.

 Ok. I don't think we can know that in any case.

  I think
  the point is that we should not assume that computation is in any way
  'thinking' (or intelligence for that matter). I think that 'thinking' is
 not
  passive enough to describe computation. It is to say that a net is
  'fishing'. Computation is many nets within nets, devoid of intention or
  perspective. It does the opposite of thinking, it is a method for
 petrifying
  the measurable residue or reflection of thought.

 Ok but let's take a human grand master playing chess. You don't think
 a computer can play like him?


This relates to what you said earlier which I agree with:

*They are more intelligent in
the sense that they can play competitively while only considering a
small fraction of the scenarios. How do we do this? There is almost no
real AI research nowadays because people gave up on answering this
question. *

The answer lies somewhere in building branch histories and databases that
are for now only partial. The computer cannot beat humans without databases
for openings, middle, and endgame. I believe this is what freaked out
Kasparov in the questionable game and what gives his suspicion of human
intervention in the code, which IBM never ruled out or proved negatively
between games, some substance. Kasparov lost because IBM eventually accrued
enough understanding of Kasparov's database (dozens of years of notes and
logs that make up his holy grail secret) to not let it fall for Kasparov's
gambit.

Kasparov's and any GM's algorithm for beating chess engines often runs
along the lines of:

Keep position closed via Botvinnik type openings and middlegame so the
computer will have to contend with billions of possible move continuations
instead of a few dozen million. Then implement precise, but highly complex,
long term strategy that offers both positional and material gambit for
twenty or so moves which is designed to flip at exactly the point of the
computer's computational horizon, and the computer loses.

This doesn't work today, because human GMs have fed the databases with
every line/variation up their sleeves (from hundreds of years of recorded
games) and consequently we feed the software with every refutation. Once a
refutation is implemented, it's our loss in terms of raw summing value,
because we are forced into unexplored territory and can't compute those
positions optimally anymore (no more strategy, just local computational
tactics; computer 

Re: Douglas Hofstadter Article

2013-10-24 Thread LizR
I want a computer that can play poker. And Bridge. And Go.


On 25 October 2013 12:11, Platonist Guitar Cowboy
multiplecit...@gmail.comwrote:




 On Thu, Oct 24, 2013 at 11:29 PM, Telmo Menezes te...@telmomenezes.comwrote:

 On Thu, Oct 24, 2013 at 7:02 PM, Craig Weinberg whatsons...@gmail.com
 wrote:
 
 
  On Thursday, October 24, 2013 12:43:49 PM UTC-4, telmo_menezes wrote:
 
  On Thu, Oct 24, 2013 at 6:39 PM, Craig Weinberg whats...@gmail.com
  wrote:
  
  
 http://www.theatlantic.com/magazine/archive/2013/11/the-man-who-would-teach-machines-to-think/309529/
  
   The Man Who Would Teach Machines to Think
  
   ...Take Deep Blue, the IBM supercomputer that bested the chess
   grandmaster
   Garry Kasparov. Deep Blue won by brute force. For each legal move it
   could
   make at a given point in the game, it would consider its opponent’s
   responses, its own responses to those responses, and so on for six or
   more
   steps down the line. With a fast evaluation function, it would
 calculate
   a
   score for each possible position, and then make the move that led to
 the
   best score. What allowed Deep Blue to beat the world’s best humans
 was
   raw
   computational power. It could evaluate up to 330 million positions a
   second,
   while Kasparov could evaluate only a few dozen before having to make
 a
   decision.
  
   Hofstadter wanted to ask: Why conquer a task if there’s no insight
 to be
   had
   from the victory? “Okay,” he says, “Deep Blue plays very good
 chess—so
   what?
   Does that tell you something about how we play chess? No. Does it
 tell
   you
   about how Kasparov envisions, understands a chessboard?” A brand of
 AI
   that
   didn’t try to answer such questions—however impressive it might have
   been—was, in Hofstadter’s mind, a diversion. He distanced himself
 from
   the
   field almost as soon as he became a part of it. “To me, as a
 fledgling
   AI
   person,” he says, “it was self-evident that I did not want to get
   involved
   in that trickery. It was obvious: I don’t want to be involved in
 passing
   off
   some fancy program’s behavior for intelligence when I know that it
 has
   nothing to do with intelligence. And I don’t know why more people
 aren’t
   that way...”
 
  I was just reading this too. I agree.
 
   This is precisely my argument against John Clark's position.
  
   Another quote I will be stealing:
  
   Airplanes don’t flap their wings; why should computers think?
 
  I think the intended meaning is closer to: airplanes don't fly by
  flapping their wings, why should computers be intelligent by
  thinking?.
 
 
  It depends whether you want 'thinking' to imply awareness or not.

 Ok. I don't think we can know that in any case.

  I think
  the point is that we should not assume that computation is in any way
  'thinking' (or intelligence for that matter). I think that 'thinking'
 is not
  passive enough to describe computation. It is to say that a net is
  'fishing'. Computation is many nets within nets, devoid of intention or
  perspective. It does the opposite of thinking, it is a method for
 petrifying
  the measurable residue or reflection of thought.

 Ok but let's take a human grand master playing chess. You don't think
 a computer can play like him?


 This relates to what you said earlier which I agree with:

 *They are more intelligent in
 the sense that they can play competitively while only considering a
 small fraction of the scenarios. How do we do this? There is almost no
 real AI research nowadays because people gave up on answering this
 question. *

 The answer lies somewhere in building branch histories and databases that
 are for now only partial. The computer cannot beat humans without databases
 for openings, middle, and endgame. I believe this is what freaked out
 Kasparov in the questionable game and what gives his suspicion of human
 intervention in the code, which IBM never ruled out or proved negatively
 between games, some substance. Kasparov lost because IBM eventually accrued
 enough understanding of Kasparov's database (dozens of years of notes and
 logs that make up his holy grail secret) to not let it fall for Kasparov's
 gambit.

 Kasparov's and any GM's algorithm for beating chess engines often runs
 along the lines of:

 Keep position closed via Botvinnik type openings and middlegame so the
 computer will have to contend with billions of possible move continuations
 instead of a few dozen million. Then implement precise, but highly complex,
 long term strategy that offers both positional and material gambit for
 twenty or so moves which is designed to flip at exactly the point of the
 computer's computational horizon, and the computer loses.

 This doesn't work today, because human GMs have fed the databases with
 every line/variation up their sleeves (from hundreds of years of recorded
 games) and consequently we feed the software with every refutation. Once a
 refutation is implemented, it's our loss in terms 

Re: Douglas Hofstadter Article

2013-10-24 Thread Stathis Papaioannou
On 25 October 2013 03:39, Craig Weinberg whatsons...@gmail.com wrote:
 http://www.theatlantic.com/magazine/archive/2013/11/the-man-who-would-teach-machines-to-think/309529/

 The Man Who Would Teach Machines to Think

 ...Take Deep Blue, the IBM supercomputer that bested the chess grandmaster
 Garry Kasparov. Deep Blue won by brute force. For each legal move it could
 make at a given point in the game, it would consider its opponent’s
 responses, its own responses to those responses, and so on for six or more
 steps down the line. With a fast evaluation function, it would calculate a
 score for each possible position, and then make the move that led to the
 best score. What allowed Deep Blue to beat the world’s best humans was raw
 computational power. It could evaluate up to 330 million positions a second,
 while Kasparov could evaluate only a few dozen before having to make a
 decision.

 Hofstadter wanted to ask: Why conquer a task if there’s no insight to be had
 from the victory? “Okay,” he says, “Deep Blue plays very good chess—so what?
 Does that tell you something about how we play chess? No. Does it tell you
 about how Kasparov envisions, understands a chessboard?” A brand of AI that
 didn’t try to answer such questions—however impressive it might have
 been—was, in Hofstadter’s mind, a diversion. He distanced himself from the
 field almost as soon as he became a part of it. “To me, as a fledgling AI
 person,” he says, “it was self-evident that I did not want to get involved
 in that trickery. It was obvious: I don’t want to be involved in passing off
 some fancy program’s behavior for intelligence when I know that it has
 nothing to do with intelligence. And I don’t know why more people aren’t
 that way...”

 This is precisely my argument against John Clark's position.

 Another quote I will be stealing:

 Airplanes don’t flap their wings; why should computers think?

You could say that human chess players just take in visual data,
process it in a series of biological relays, then send electrical
signals to muscles that move the pieces around. This is what an alien
scientist would observe. That's not thinking! That's not
understanding!


-- 
Stathis Papaioannou

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Re: Douglas Hofstadter Article

2013-10-24 Thread LizR
On 25 October 2013 12:16, Stathis Papaioannou stath...@gmail.com wrote:


 You could say that human chess players just take in visual data,
 process it in a series of biological relays, then send electrical
 signals to muscles that move the pieces around. This is what an alien
 scientist would observe. That's not thinking! That's not
 understanding!

 I like the use of just !

(I'm sure a Chinese room the size of the galaxy could replicate their
behaviour...)

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RE: String theory and superconductors and classical liquids...

2013-10-24 Thread Chris de Morsella
In the 13 B year period that the light took to get here the universe itself
has expanded stretching out spacetime spreading things out like dots on the
surface of an inflating balloon. Hence the 30 B figure - that factors in the
red shift computed values to arrive at that current distance. Light
leaving those galaxies right now, if they still exist that is, would take 30
B years to finally get to earth which will have been long since gone by
then.

 

From: everything-list@googlegroups.com
[mailto:everything-list@googlegroups.com] On Behalf Of LizR
Sent: Thursday, October 24, 2013 3:58 PM
To: everything-list@googlegroups.com
Subject: Re: String theory and superconductors and classical liquids...

 

The galaxy is probably 30 bn light years away NOW (leaving aside exactly
what now means cosmologically) but we see its image from when it was 13 bn
light years away. In the intervening 13bn years it has moved another 17bn
light years (universal expansion not being limited to c).

Or so I'm reliably informed...

 

On 25 October 2013 06:46, Bruno Marchal marc...@ulb.ac.be wrote:

 

On 24 Oct 2013, at 08:54, Quentin Anciaux wrote:

 

 

 

2013/10/24 Chris de Morsella cdemorse...@yahoo.com

 

 

From: everything-list@googlegroups.com
[mailto:everything-list@googlegroups.com] On Behalf Of Bruno Marchal
Sent: Wednesday, October 23, 2013 5:45 AM


To: everything-list@googlegroups.com
Subject: Re: String theory and superconductors and classical liquids...

 

 

 

Keep in mind the difference between 1) the computationalist hypothesis in
philosophy of mind, and 2) the hypothesis that the universe is the product
of some program.

 

2) implies 1)

 

but

 

1) implies the negation of 2)(this can be explained with the thought
experiment like in the UDA).

 

In particular 2) implies the negation of 2), and so is self-contradictory.

 

Bruno

 

You lost me here. why does 1) negate 2)? 

 

Because 1 implies matter is the result of an infinity of computations below
the substitution level (there is an infinity of computations going through
your current state). 2 implies matter is the result of one specific
computation. 2 implies 1, 1 implies ~2 = 2 = ~2.

 

 

OK?

 

No more question?

 

I have to go, might add comments later. 

 

Bruno

 

 

 





 

Quentin

 

Is it because 1) requires some external observable that is not a part of
itself

As seems suggested by saying 2) implies the negation of 2) 

Which would be the hall of mirrors of the observing entity requiring an
external observable in order to even know it exists. Unless something could
be perfectly self-referential, which I sense you doubt.

 

perhaps just the sound of me flailing around J

Chris

 

http://iridia.ulb.ac.be/~marchal/

 

 

 

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http://iridia.ulb.ac.be/~marchal/

 

 

 

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Re: Time as an emergent phenomenon

2013-10-24 Thread LizR
On 25 October 2013 05:02, Richard Ruquist yann...@gmail.com wrote:

 From SR and GR, photons are static in time.
 So I do not understand how differences in photon time can emerge.

 In the experimental setup they are passed through polarising filters, so
the time-evolution of the system involves changes to their states of
polarisation.

[image: Inline images 1]

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Re: Time as an emergent phenomenon

2013-10-24 Thread Alberto G. Corona
Then the schrodinger cat in the box is a little block multiverse with
both supperposed possible states until we open it and become
entangled.

2013/10/25, LizR lizj...@gmail.com:
 On 25 October 2013 05:02, Richard Ruquist yann...@gmail.com wrote:

 From SR and GR, photons are static in time.
 So I do not understand how differences in photon time can emerge.

 In the experimental setup they are passed through polarising filters, so
 the time-evolution of the system involves changes to their states of
 polarisation.

 [image: Inline images 1]

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Re: Time as an emergent phenomenon

2013-10-24 Thread LizR
Assuming a perfect decoherence free box, I think you're right.

On 25 October 2013 13:20, Alberto G. Corona agocor...@gmail.com wrote:

 Then the schrodinger cat in the box is a little block multiverse with
 both supperposed possible states until we open it and become
 entangled.


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Re: Douglas Hofstadter Article

2013-10-24 Thread Craig Weinberg


On Thursday, October 24, 2013 7:16:55 PM UTC-4, stathisp wrote:

 On 25 October 2013 03:39, Craig Weinberg whats...@gmail.com javascript: 
 wrote: 
  
 http://www.theatlantic.com/magazine/archive/2013/11/the-man-who-would-teach-machines-to-think/309529/
  
  
  The Man Who Would Teach Machines to Think 
  
  ...Take Deep Blue, the IBM supercomputer that bested the chess 
 grandmaster 
  Garry Kasparov. Deep Blue won by brute force. For each legal move it 
 could 
  make at a given point in the game, it would consider its opponent’s 
  responses, its own responses to those responses, and so on for six or 
 more 
  steps down the line. With a fast evaluation function, it would calculate 
 a 
  score for each possible position, and then make the move that led to the 
  best score. What allowed Deep Blue to beat the world’s best humans was 
 raw 
  computational power. It could evaluate up to 330 million positions a 
 second, 
  while Kasparov could evaluate only a few dozen before having to make a 
  decision. 
  
  Hofstadter wanted to ask: Why conquer a task if there’s no insight to be 
 had 
  from the victory? “Okay,” he says, “Deep Blue plays very good chess—so 
 what? 
  Does that tell you something about how we play chess? No. Does it tell 
 you 
  about how Kasparov envisions, understands a chessboard?” A brand of AI 
 that 
  didn’t try to answer such questions—however impressive it might have 
  been—was, in Hofstadter’s mind, a diversion. He distanced himself from 
 the 
  field almost as soon as he became a part of it. “To me, as a fledgling 
 AI 
  person,” he says, “it was self-evident that I did not want to get 
 involved 
  in that trickery. It was obvious: I don’t want to be involved in passing 
 off 
  some fancy program’s behavior for intelligence when I know that it has 
  nothing to do with intelligence. And I don’t know why more people aren’t 
  that way...” 
  
  This is precisely my argument against John Clark's position. 
  
  Another quote I will be stealing: 
  
  Airplanes don’t flap their wings; why should computers think? 

 You could say that human chess players just take in visual data, 
 process it in a series of biological relays, then send electrical 
 signals to muscles that move the pieces around. This is what an alien 
 scientist would observe. That's not thinking! That's not 
 understanding! 


Right, but since we understand that such an alien observation would be in 
error, we must give our own experience the benefit of the doubt. The 
computer does not deserve any such benefit of the doubt, since there is no 
question that it has been assembled intentionally from controllable parts. 
When we see a ventriloquist with a dummy, we do not entertain seriously 
that we could be mistaken about which one is really the ventriloquist, or 
whether they are equivalent to each other. 

Looking at natural presences, like atoms or galaxies, the scope of their 
persistence is well beyond any human relation so they do deserve the 
benefit of the doubt. We have no reason to believe that they were assembled 
by anything other than themselves. The fact that we are made of atoms and 
atoms are made from stars is another point in their favor, whereas no 
living organism that we have encountered is made of inorganic atoms, or of 
pure mathematics, or can survive by consuming only inorganic atoms or 
mathematics.

Craig



 -- 
 Stathis Papaioannou 


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Re: Douglas Hofstadter Article

2013-10-24 Thread LizR
On 25 October 2013 14:31, Craig Weinberg whatsons...@gmail.com wrote:


 Looking at natural presences, like atoms or galaxies, the scope of their
 persistence is well beyond any human relation so they do deserve the
 benefit of the doubt. We have no reason to believe that they were assembled
 by anything other than themselves. The fact that we are made of atoms and
 atoms are made from stars is another point in their favor, whereas no
 living organism that we have encountered is made of inorganic atoms, or of
 pure mathematics, or can survive by consuming only inorganic atoms or
 mathematics.


What are inorganic atoms? Or rather (since I suspect all atoms are
inorganic), what are organic atoms?

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RE: Douglas Hofstadter Article

2013-10-24 Thread chris peck
yep. organity is emergent.

Date: Fri, 25 Oct 2013 14:46:54 +1300
Subject: Re: Douglas Hofstadter Article
From: lizj...@gmail.com
To: everything-list@googlegroups.com

On 25 October 2013 14:31, Craig Weinberg whatsons...@gmail.com wrote:


Looking at natural presences, like atoms or galaxies, the scope of their 
persistence is well beyond any human relation so they do deserve the benefit of 
the doubt. We have no reason to believe that they were assembled by anything 
other than themselves. The fact that we are made of atoms and atoms are made 
from stars is another point in their favor, whereas no living organism that we 
have encountered is made of inorganic atoms, or of pure mathematics, or can 
survive by consuming only inorganic atoms or mathematics.


What are inorganic atoms? Or rather (since I suspect all atoms are inorganic), 
what are organic atoms?






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Re: Douglas Hofstadter Article

2013-10-24 Thread Stathis Papaioannou
On 25 October 2013 12:31, Craig Weinberg whatsons...@gmail.com wrote:

 You could say that human chess players just take in visual data,
 process it in a series of biological relays, then send electrical
 signals to muscles that move the pieces around. This is what an alien
 scientist would observe. That's not thinking! That's not
 understanding!


 Right, but since we understand that such an alien observation would be in
 error, we must give our own experience the benefit of the doubt.

The alien might be completely confident in his judgement, having a
brain made of exotic matter. He would argue that however complex its
behaviour, a being made of ordinary matter that evolved naturally
could not possibly have an understanding of what it is doing.

 The
 computer does not deserve any such benefit of the doubt, since there is no
 question that it has been assembled intentionally from controllable parts.
 When we see a ventriloquist with a dummy, we do not entertain seriously that
 we could be mistaken about which one is really the ventriloquist, or whether
 they are equivalent to each other.

But if the dummy is autonomous and apparently just as smart as the
ventriloquist many of us would reconsider.

 Looking at natural presences, like atoms or galaxies, the scope of their
 persistence is well beyond any human relation so they do deserve the benefit
 of the doubt. We have no reason to believe that they were assembled by
 anything other than themselves. The fact that we are made of atoms and atoms
 are made from stars is another point in their favor, whereas no living
 organism that we have encountered is made of inorganic atoms, or of pure
 mathematics, or can survive by consuming only inorganic atoms or
 mathematics.

There is no logical reason why something that is inorganic or did not
arise spontaneously or eats inoragnic matter cannot be conscious. It's
just something you have made up.


-- 
Stathis Papaioannou

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RE: Douglas Hofstadter Article

2013-10-24 Thread chris peck
 The alien might be completely confident in his judgement, having a
brain made of exotic matter. He would argue that however complex its
behaviour, a being made of ordinary matter that evolved naturally
could not possibly have an understanding of what it is doing.

Aliens don't matter. They can be wrong about us being thoughtless and we can be 
right that computers are thoughtless.

There seem to be two points of view here:

1) Whether a machine is thinking is determined by the goals it achieves 
(beating people at chess, translating bulgarian)

2) Whether a machine is thinking is determined by how it trys to achieve a 
goal. How does it cognate?

I find myself rooting for the second point of view. A machine wouldn't need to 
beat kasperov to convince me it was thinking, but it would have to make 
mistakes and successes in the same way that I would against kasperov. 

In developmental psychology there is the question of how children learn 
grammar. I forget the details; but some bunch of geeks at a brainy university 
had developed a neural net system that given enough input and training began to 
apply grammatical rules correctly. What was really interesting though was that 
despite arriving at a similar competence to a young child, the journey there 
was very different. The system outperformed children (on average) and crucially 
didn't make the same kind of mistakes that are ubiquitous as children learn 
grammar. The ubiquity is important because it shows that in children the same 
inherent system is at play; the absence of mistakes between computer and child 
is important because it shows that theses systems are different. 

At this juncture then it becomes moot whether the computer is learning or 
thinking about grammar. It is a matter of philosophical taste. It certainly 
isn't learning or thinking as we learnt or thought when learning grammar. The 
way we cognate is the only example we have of cognition that we know is 
genuine. Do AI systems do that? The answer is obviously : No they don't. Are 
computers brainy in the way we are? No they are not. You can broaden the 
definition of thought and braininess to encompass it if you like, but that is 
just philosophical bias. They do not do what we do.

Regards

 From: stath...@gmail.com
 Date: Fri, 25 Oct 2013 13:11:47 +1100
 Subject: Re: Douglas Hofstadter Article
 To: everything-list@googlegroups.com
 
 On 25 October 2013 12:31, Craig Weinberg whatsons...@gmail.com wrote:
 
  You could say that human chess players just take in visual data,
  process it in a series of biological relays, then send electrical
  signals to muscles that move the pieces around. This is what an alien
  scientist would observe. That's not thinking! That's not
  understanding!
 
 
  Right, but since we understand that such an alien observation would be in
  error, we must give our own experience the benefit of the doubt.
 
 The alien might be completely confident in his judgement, having a
 brain made of exotic matter. He would argue that however complex its
 behaviour, a being made of ordinary matter that evolved naturally
 could not possibly have an understanding of what it is doing.
 
  The
  computer does not deserve any such benefit of the doubt, since there is no
  question that it has been assembled intentionally from controllable parts.
  When we see a ventriloquist with a dummy, we do not entertain seriously that
  we could be mistaken about which one is really the ventriloquist, or whether
  they are equivalent to each other.
 
 But if the dummy is autonomous and apparently just as smart as the
 ventriloquist many of us would reconsider.
 
  Looking at natural presences, like atoms or galaxies, the scope of their
  persistence is well beyond any human relation so they do deserve the benefit
  of the doubt. We have no reason to believe that they were assembled by
  anything other than themselves. The fact that we are made of atoms and atoms
  are made from stars is another point in their favor, whereas no living
  organism that we have encountered is made of inorganic atoms, or of pure
  mathematics, or can survive by consuming only inorganic atoms or
  mathematics.
 
 There is no logical reason why something that is inorganic or did not
 arise spontaneously or eats inoragnic matter cannot be conscious. It's
 just something you have made up.
 
 
 -- 
 Stathis Papaioannou
 
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Re: Douglas Hofstadter Article

2013-10-24 Thread meekerdb

On 10/24/2013 8:09 PM, chris peck wrote:
At this juncture then it becomes moot whether the computer is learning or thinking about 
grammar. It is a matter of philosophical taste. It certainly isn't learning or thinking 
as we learnt or thought when learning grammar. The way we cognate is the only example we 
have of cognition that we know is genuine.


Unfortunately we don't even have that example, because we don't know how we 
think.

Brent

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RE: Douglas Hofstadter Article

2013-10-24 Thread chris peck
 Unfortunately we don't even have that example, because we don't know how we 
 think.

We know that a certain set of mistakes are ubiquitous when learning grammer. 
(overgeneralising for example). Cats. dogs. hamsters. ... Sheeps. deers. etc.

And we know the computer system didn't make these mistakes.

Thats all we need to know to say that the two systems are not the same. All we 
need to know to say the computer was not doing what children do.

Date: Thu, 24 Oct 2013 20:35:05 -0700
From: meeke...@verizon.net
To: everything-list@googlegroups.com
Subject: Re: Douglas Hofstadter Article


  

  
  
On 10/24/2013 8:09 PM, chris peck
  wrote:


At this juncture then it becomes moot whether the
  computer is learning or thinking about grammar. It is a matter of
  philosophical taste. It certainly isn't learning or thinking as we
  learnt or thought when learning grammar. The way we cognate is the
  only example we have of cognition that we know is genuine.


Unfortunately we don't
  even have that example, because we don't know how we think.

  

  Brent


  





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Re: Douglas Hofstadter Article

2013-10-24 Thread meekerdb

On 10/24/2013 8:41 PM, chris peck wrote:

/ Unfortunately we don't even have that example, because we don't know how we 
think./

We know that a certain set of mistakes are ubiquitous when learning grammer. 
(overgeneralising for example). Cats. dogs. hamsters. ... Sheeps. deers. etc.


And we know the computer system didn't make these mistakes.


Whether a computer made those mistakes would obviously depend on it's software and one 
could obviously write software that would over generalize and in fact neural network 
classifiers often over generalize.


But you're back to judging internal processes by external behavior.

Brent




Thats all we need to know to say that the two systems are not the same. All we need to 
know to say the computer was not doing what children do.


--
Date: Thu, 24 Oct 2013 20:35:05 -0700
From: meeke...@verizon.net
To: everything-list@googlegroups.com
Subject: Re: Douglas Hofstadter Article

On 10/24/2013 8:09 PM, chris peck wrote:

At this juncture then it becomes moot whether the computer is learning or 
thinking
about grammar. It is a matter of philosophical taste. It certainly isn't 
learning or
thinking as we learnt or thought when learning grammar. The way we cognate 
is the
only example we have of cognition that we know is genuine.


Unfortunately we don't even have that example, because we don't know how we 
think.

Brent


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RE: Douglas Hofstadter Article

2013-10-24 Thread chris peck
 But you're back to judging internal processes by external behavior.

I have nothing against doing that. Its exactly what I in fact did.

Where there are no behavioral differences from which we can identify internal 
differences, we would not know whether they were cognitively different or the 
same.  Maybe they are, maybe they are not. And that certainly leads to the 
problem of other minds, say between children learning grammar.

But where we can do that, say between this grammar system and children or Deep 
Blue and Kasperov, it follows that they are definitely not cognitively similar 
regardless of how they perform because we can discern internal differences from 
external behavior.

We can only say Deep Blue is thinking if we broaden the definition of thinking. 
Well, I can show that Im gorgeous if I broaden the definition of gorgeous. We 
don't learn anything about thought by changing its definition.

Date: Thu, 24 Oct 2013 20:52:39 -0700
From: meeke...@verizon.net
To: everything-list@googlegroups.com
Subject: Re: Douglas Hofstadter Article


  

  
  
On 10/24/2013 8:41 PM, chris peck
  wrote:



  
   Unfortunately we don't even have that
  example, because we don't know how we think.



We know that a certain set of mistakes are ubiquitous when
learning grammer. (overgeneralising for example). Cats. dogs.
hamsters. ... Sheeps. deers. etc.



And we know the computer system didn't make these mistakes.

  



Whether a computer made those mistakes would obviously depend on
it's software and one could obviously write software that would over
generalize and in fact neural network classifiers often over
generalize.



But you're back to judging internal processes by external behavior.



Brent






  

Thats all we need to know to say that the two systems are not
the same. All we need to know to say the computer was not doing
what children do.




  Date: Thu, 24 Oct 2013 20:35:05 -0700

  From: meeke...@verizon.net

  To: everything-list@googlegroups.com

  Subject: Re: Douglas Hofstadter Article

  

  On 10/24/2013 8:09 PM, chris
peck wrote:

  
  At
this juncture then it becomes moot whether the computer is
learning or thinking about grammar. It is a matter of
philosophical taste. It certainly isn't learning or thinking
as we learnt or thought when learning grammar. The way we
cognate is the only example we have of cognition that we
know is genuine.
  

  Unfortunately we
don't even have that example, because we don't know how we
think.



Brent


  



  





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