Re: Real-world vs. universal prior (was Re: [agi] Universal intelligence test benchmark)

2008-12-27 Thread David Hart
On Sat, Dec 27, 2008 at 5:25 PM, Ben Goertzel b...@goertzel.org wrote:


 I wrote down my thoughts on this in a little more detail here (with some
 pastings from these emails plus some new info):


 http://multiverseaccordingtoben.blogspot.com/2008/12/subtle-structure-of-physical-world.html


I really liked this essay. I'm curious about the clarity of terms 'real
world' and 'physical world' in some places. It seems that, to make its
point, the essay requires 'real world' and 'physical world' mean only
'practical' or 'familiar physical reality', depending on context. Whereas,
if 'real world' is reserved for a very broad definition of realities
including physical realities (including classical, quantum mechanical and
relativistic time and distance scales), peculiar human cultural realities,
and other definable realities, it will be easier in follow-up essays to
discuss AGI systems that can natively think simultaneously about any
multitude of interrelated realities (a trick that humans are really bad at).
I hope this makes sense...

-dave



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Re: Real-world vs. universal prior (was Re: [agi] Universal intelligence test benchmark)

2008-12-27 Thread Ben Goertzel
David,

Good point... I'll revise the essay to account for it...

The truth is, we just don't know -- but in taking the virtual world
approach to AGI, we're very much **hoping** that a subset of human everyday
physical reality is good enough. ..

ben

On Sat, Dec 27, 2008 at 6:46 AM, David Hart dh...@cogical.com wrote:

 On Sat, Dec 27, 2008 at 5:25 PM, Ben Goertzel b...@goertzel.org wrote:


 I wrote down my thoughts on this in a little more detail here (with some
 pastings from these emails plus some new info):


 http://multiverseaccordingtoben.blogspot.com/2008/12/subtle-structure-of-physical-world.html


 I really liked this essay. I'm curious about the clarity of terms 'real
 world' and 'physical world' in some places. It seems that, to make its
 point, the essay requires 'real world' and 'physical world' mean only
 'practical' or 'familiar physical reality', depending on context. Whereas,
 if 'real world' is reserved for a very broad definition of realities
 including physical realities (including classical, quantum mechanical and
 relativistic time and distance scales), peculiar human cultural realities,
 and other definable realities, it will be easier in follow-up essays to
 discuss AGI systems that can natively think simultaneously about any
 multitude of interrelated realities (a trick that humans are really bad at).
 I hope this makes sense...

 -dave


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-- 
Ben Goertzel, PhD
CEO, Novamente LLC and Biomind LLC
Director of Research, SIAI
b...@goertzel.org

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



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Re: Real-world vs. universal prior (was Re: [agi] Universal intelligence test benchmark)

2008-12-27 Thread Ben Goertzel
Dave --

See mildly revised version, where I replaced real world with everyday
world (and defined the latter term explicitly), and added a final section
relevant to the distinctions between the everyday world, simulated everyday
worlds, and other portions of the physical world.

http://multiverseaccordingtoben.blogspot.com/2008/12/subtle-structure-of-physical-world.html

-- Ben


On Sat, Dec 27, 2008 at 8:28 AM, Ben Goertzel b...@goertzel.org wrote:


 David,

 Good point... I'll revise the essay to account for it...

 The truth is, we just don't know -- but in taking the virtual world
 approach to AGI, we're very much **hoping** that a subset of human everyday
 physical reality is good enough. ..

 ben


 On Sat, Dec 27, 2008 at 6:46 AM, David Hart dh...@cogical.com wrote:

 On Sat, Dec 27, 2008 at 5:25 PM, Ben Goertzel b...@goertzel.org wrote:


 I wrote down my thoughts on this in a little more detail here (with some
 pastings from these emails plus some new info):


 http://multiverseaccordingtoben.blogspot.com/2008/12/subtle-structure-of-physical-world.html


 I really liked this essay. I'm curious about the clarity of terms 'real
 world' and 'physical world' in some places. It seems that, to make its
 point, the essay requires 'real world' and 'physical world' mean only
 'practical' or 'familiar physical reality', depending on context. Whereas,
 if 'real world' is reserved for a very broad definition of realities
 including physical realities (including classical, quantum mechanical and
 relativistic time and distance scales), peculiar human cultural realities,
 and other definable realities, it will be easier in follow-up essays to
 discuss AGI systems that can natively think simultaneously about any
 multitude of interrelated realities (a trick that humans are really bad at).
 I hope this makes sense...

 -dave


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 https://www.listbox.com/member/archive/rss/303/ | 
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 --
 Ben Goertzel, PhD
 CEO, Novamente LLC and Biomind LLC
 Director of Research, SIAI
 b...@goertzel.org

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




-- 
Ben Goertzel, PhD
CEO, Novamente LLC and Biomind LLC
Director of Research, SIAI
b...@goertzel.org

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



---
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Re: Real-world vs. universal prior (was Re: [agi] Universal intelligence test benchmark)

2008-12-27 Thread Mike Tintner
Ben: in taking the virtual world approach to AGI, we're very much **hoping** 
that a subset of human everyday physical reality is good enough. ..

Ben,

Which subset(s)?

The idea that you can virtually recreate any part or processes of reality seems 
horribly flawed - and unexamined.

Take the development of intelligence. You seem (from recent exchanges) to 
accept that there is very roughly some natural order to the development of 
intelligence. So for example, you can't learn about planets  universes, if you 
haven't first learned about simple objects like stones and balls - nor about 
politics, governments and international relations if you haven't first learned 
about language, speech/conversation, emotions, other minds  much more.  Now we 
- science - have some ideas about this natural order - about how we have to 
develop from understanding simple to complex things. But overall our picture is 
pathetic and hugely gapped.  For science to produce an extensive picture of 
development here would - at a guess - take at least hundreds of thousands, if 
not millions of scientists, and many thousands (or millions) of discoveries, 
and many changes of competing paradigms.

What are the chances then of an individual like you, or team of individuals, 
being able to design a coherent, practical order of intellectual development 
for an artificial, virtual agent straight off in a few years ?

The same applies to any part of reality. We - science - may have a detailed 
picture of how some pieces of objects, like stones and water, work. But again 
our overall ability to model how all those particles, atoms and molecules 
interrelate in any given object, and how the object as a whole behaves, is 
still very limited. We still have all kinds of gaps in our picture of water. 
Scientific models are always far from the real thing.

Again, to come anywhere near completing those models will take new armies of 
scientists.

What are the chances then of a few individuals being able to correctly model 
the behaviour of any objects in the real world on a flat screen?

IOW the short cut you hope for is probably the longest way round you could 
possibly choose. Robotics - forgetting altogether about formally modelling the 
world - and just interacting with it directly,   is actually shorter by far. So 
I doubt whether you have ever seriously examined how you would recreate a 
*particular* subset of reality.in any detail  - as simple even, say, as a 
ball -  as opposed to the general idea. Have you?  

[Nb We're talking here about composite models of objects - so it's easy enough 
to create a reasonable picture of a ball bouncing on a hard surface, but what 
happens when your agent sits on it, or rubs it on his shirt, or bounces it on 
water,  or sand, or throws it at another ball in mid-air, or (as we've partly 
discussed) plays with it like an infant ?] 


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Re: Real-world vs. universal prior (was Re: [agi] Universal intelligence test benchmark)

2008-12-27 Thread Ben Goertzel
The question is how much detail about the world needs to be captured in a
simulation in order to support humanlike cognitive development.

As a single example, Piagetan conservation of volume experiments are often
done with water, which would suggest you need to have fluid dynamics in your
simulation to support that kind of experiment.  But you don't necessarily,
because you can do those same experiments with fairly large beads, via using
Newtonian mechanics to simulate the rolling-around of the beads.  So it's
not clear whether fluidics is needed in the sim world to enable humanlike
cognitive development, versus whether beads rolling around is good enough
(at the moment I suspect the latter)

As I'm planning to write a paper on this stuff, I don't want to diver time
to writing a long email about it.

As for which subset of a physical reality: my specific idea is to simulate
a real-world preschool, with enough fidelity that AIs can carry out the same
learning tasks that human kids carry out in a real preschool.


On Sat, Dec 27, 2008 at 9:56 AM, Mike Tintner tint...@blueyonder.co.ukwrote:

  Ben: in taking the virtual world approach to AGI, we're very much
 **hoping** that a subset of human everyday physical reality is good
 enough. ..

 Ben,

 Which subset(s)?

 The idea that you can virtually recreate any part or processes of reality
 seems horribly flawed - and unexamined.

 Take the development of intelligence. You seem (from recent exchanges) to
 accept that there is very roughly some natural order to the development of
 intelligence. So for example, you can't learn about planets  universes, if
 you haven't first learned about simple objects like stones and balls - nor
 about politics, governments and international relations if you haven't first
 learned about language, speech/conversation, emotions, other minds  much
 more.  Now we - science - have some ideas about this natural order - about
 how we have to develop from understanding simple to complex things. But
 overall our picture is pathetic and hugely gapped.  For science to produce
 an extensive picture of development here would - at a guess - take at least
 hundreds of thousands, if not millions of scientists, and many thousands (or
 millions) of discoveries, and many changes of competing paradigms.

 What are the chances then of an individual like you, or team of
 individuals, being able to design a coherent, practical order of
 intellectual development for an artificial, virtual agent straight off in a
 few years ?

 The same applies to any part of reality. We - science - may have a detailed
 picture of how some pieces of objects, like stones and water, work. But
 again our overall ability to model how all those particles, atoms and
 molecules interrelate in any given object, and how the object as a whole
 behaves, is still very limited. We still have all kinds of gaps in our
 picture of water. Scientific models are always far from the real thing.

 Again, to come anywhere near completing those models will take new armies
 of scientists.

 What are the chances then of a few individuals being able to correctly
 model the behaviour of any objects in the real world on a flat screen?

 IOW the short cut you hope for is probably the longest way round you
 could possibly choose. Robotics - forgetting altogether about formally
 modelling the world - and just interacting with it directly,   is actually
 shorter by far. So I doubt whether you have ever seriously examined how you
 would recreate a *particular* subset of reality.in any detail  - as simple
 even, say, as a ball -  as opposed to the general idea. Have you?

 [Nb We're talking here about composite models of objects - so it's easy
 enough to create a reasonable picture of a ball bouncing on a hard surface,
 but what happens when your agent sits on it, or rubs it on his shirt, or
 bounces it on water,  or sand, or throws it at another ball in mid-air, or
 (as we've partly discussed) plays with it like an infant ?]
 --
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 https://www.listbox.com/member/archive/rss/303/ | 
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-- 
Ben Goertzel, PhD
CEO, Novamente LLC and Biomind LLC
Director of Research, SIAI
b...@goertzel.org

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



---
agi
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Re: Real-world vs. universal prior (was Re: [agi] Universal intelligence test benchmark)

2008-12-27 Thread David Hart
'On Sun, Dec 28, 2008 at 1:02 AM, Ben Goertzel b...@goertzel.org wrote:


 See mildly revised version, where I replaced real world with everyday
 world (and defined the latter term explicitly), and added a final section
 relevant to the distinctions between the everyday world, simulated everyday
 worlds, and other portions of the physical world.


I think that's much more clear, and the additions help to frame the meaning
of 'everyday world'.

Another important open question, that's really a generalization of 'how much
detail does the virtual world need to have?', is can we create practical
progressions of simulations of the everyday world, such that the first (and
more crude) simulations are very useful to early attempts at teaching
proto-AGIs, and the development of progressively more sophisticated
simulations roughly tracks the development of progress in AGI design and
development.

I also see the kernel of a formally defined science of discovery of the
general properties of everyday intelligence; if presented in ways that
cognitive scientists appreciate, it could really catch on!

-dave



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Re: Real-world vs. universal prior (was Re: [agi] Universal intelligence test benchmark)

2008-12-26 Thread Ben Goertzel

 Suppose I take the universal prior and condition it on some real-world
 training data.  For example, if you're interested in real-world
 vision, take 1000 frames of real video, and then the proposed
 probability distribution is the portion of the universal prior that
 explains the real video.  (I can mathematically define this if there
 is interest, but I'm guessing the other people here can too, so maybe
 we can skip that.  Speak up if I'm being too unclear.)

 Do you think the result is different in an important way from the
 real-world probability distribution you're looking for?
 --
 Tim Freeman   http://www.fungible.com
 t...@fungible.com


No, I think that in principle that's the right approach ... but that simple,
artificial exercises like conditioning data on photos don't come close to
capturing the richness of statistical structure in the physical universe ...
or in the subsets of the physical universe that humans typically deal
with...

ben



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