it already
understands things it'll apply them to.
Problem with knowledge is to make knowledge base and virtual scenes converge on
consistency, which isn't covered by blind search for goal.
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,
unless
actual execution comes very near to out-of-memory condition, which I
believe is not the case with AGI systems anyone wants to consider.
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Which leaves from original approach about only fill-the-gaps cycle, which is
general enough to have no show-stoppers or immediate practical value :)
Though I believe in fill-the-gaps direction, with much more flexible
scheme application and learning techniques.
--
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only get 250).
It should be hopeless either way - flexibility of code may as well
suffer from too tight implementation. Good balance just can't be estimated
by a simple ruler :)
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', then what's the difference between this point
and 'mission accomplished' one?
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how particular approach looks from points of view
described in that literature.
So, my current reading is
The Cambridge Handbook of Thinking and Reasoning.
http://www.cambridge.org/uk/catalogue/catalogue.asp?isbn=0521531012
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level of description). What I'm
interested in in this discussion is shifting it to
character level, and applying to processing of natural language
by means similar to Hafstadter's techniques.
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occasionally to steer pattern
formation and observe reasoning internals, and natural language can
be used for most of the teaching, from the very start.
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Saturday, June 30, 2007, Vladimir Nesov wrote:
VN But diversity of challenges in reasoning itself seems to be greater
VN than what might be necessary for NLP. So why start at conceptual level?
VN Internal KR language can be used occasionally to steer pattern
VN formation and observe reasoning
(and useless!).
Even if you implement something that can automatically train itself
to do this particular thing, would it scale to do anything? Would it
teach you something useful about hypothetical way to implement an AGI?
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activity. It doesn't
necessarily plan at any level to use such experience for something
useful.
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Friday, July 6, 2007, YKY (Yan King Yin) wrote:
YYKY On 6/30/07, Vladimir Nesov [EMAIL PROTECTED] wrote:
NLP is often regarded as some sort of peripheral I/O system, potentially
allowing AGI to communicate, but in itself not part of AGI, not even worth
developing early on. But maybe NLP can
,
it'll just become boring.
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must be more
context-specific to be fruitful :).
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On 9/27/07, Richard Loosemore [EMAIL PROTECTED] wrote:
Vladimir Nesov wrote:
On 9/27/07, *Richard Loosemore* [EMAIL PROTECTED]
I explain what is the best possible type of evidence for the complex
systems problem that we could ever expect to get (and I also give a
water
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and
under influence of
new experience?
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I just want to point out that by itself such assertion seems to serve
no positive/informative purpose. You could just say about off-topic
part, unless you specifically want to discuss religion part.
On 9/29/07, Russell Wallace [EMAIL PROTECTED] wrote:
On 9/29/07, Vladimir Nesov [EMAIL PROTECTED
friendliness is. If it itself only follows friendliness approximately,
but understands precisely what friendliness is, it will be able to
create new AGIs which are as close to theoretical take on friendliness
(probably humans-grounded thing) as it is, or more so.
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with the world.
Note that many stupid and/or greedy people will try to influence the system
and it will need to be immune to them (or the solution will be worse than
the problem).
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-- Should adults be allowed to
drink, do drugs, wirehead themselves to death?
- Original Message -
From: Vladimir Nesov [EMAIL PROTECTED]
To: agi@v2.listbox.com
Sent: Tuesday, October 02, 2007 9:49 AM
Subject: **SPAM** Re: [agi] Religion-free technical content
But yet robustness of goal
mean by context here? Certainly goal content needs
semantic grounding in system's knowledge.
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intelligence which just chunks this information
according to its meaning.
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On 10/4/07, J Storrs Hall, PhD [EMAIL PROTECTED] wrote:
On Thursday 04 October 2007 11:52:01 am, Vladimir Nesov wrote:
Analogy-making can be reformulated as other problems, so even if it's
not named this way it's still associated with many approaches to
learning. Recalling relevant
will not be ready, or that
it'll be enough to run it 1000 faster. So, in event that hardware will
be sufficient, it will probably be enough for AGI to run much faster
than human.
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On 10/5/07, Richard Loosemore [EMAIL PROTECTED] wrote:
Vladimir Nesov wrote:
Richard,
It's a question of notation. Yes, you can sometimes formulate
difficult problems succinctly. GoL is just another formalism in which
it's possible. What does it have to do with anything?
It has to do
On 10/5/07, Richard Loosemore [EMAIL PROTECTED] wrote:
Vladimir Nesov wrote:
On 10/5/07, Richard Loosemore [EMAIL PROTECTED] wrote:
Vladimir Nesov wrote:
Richard,
It's a question of notation. Yes, you can sometimes formulate
difficult problems succinctly. GoL is just another formalism
will help in efficient
enumeration of low-level rules and estimation of high-level behavior,
and restrain possibilities to as close as possible to existing working
system - human mind. All along these same lines. Computational
mathematics deals with this kind of thing all the time.
--
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On 10/5/07, Richard Loosemore [EMAIL PROTECTED] wrote:
Vladimir Nesov wrote:
On 10/5/07, Richard Loosemore [EMAIL PROTECTED] wrote:
Mike Dougherty wrote:
On 10/4/07, Richard Loosemore [EMAIL PROTECTED] wrote:
All understood. Remember, though, that the original reason for talking
about
not to be 'dismissive', which suggests kind of oversight, but I also
try not to ignore inconsistencies.
On 10/5/07, Vladimir Nesov [EMAIL PROTECTED] wrote:
You do predict that behavior by simulating the model. What you
supposedly can't do is to find initial conditions that will lead to
required global behavior
of extracting
small simple statements is in that they can be quickly iterated up to
agreement, establishing common ground. But you usually end up saying
it contradicts my whole paper and giving another summary which is
not constructive and wastes your time.
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to be
optimal to ditch general assembler capability).
Well, given that it's Turing complete, it should have all forms of
intelligent entities too (probably including us), they just may be
non-trivial to observe.
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, Russell Wallace [EMAIL PROTECTED] wrote:
On 10/7/07, Vladimir Nesov [EMAIL PROTECTED] wrote:
Well, given that it's Turing complete, it should have all forms of
intelligent entities too (probably including us), they just may be
non-trivial to observe.
Oh potentially yes, they just won't
, Russell Wallace [EMAIL PROTECTED] wrote:
On 10/7/07, Vladimir Nesov [EMAIL PROTECTED] wrote:
That's interesting perspective - it defines a class of series
generators (where for example in GoL one element is the whole board on
given tick) that generate intelligence through evolution in
time
on usefulness or support by
evidence need to be kept track of. As those 'theories' are not limited
to explicit language-level statements, they cumulatively can provide
all needed facets of meaning.
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the
symbols used in that paper is slightly different from the current
form.
Pei
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to me,
responds to problems as they are presented.
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, abstraction-based model can
be used as surrogate vision supply, results of which can be more
optimally reperceived.
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PROTECTED] wrote:
Vladimir Nesov wrote:
Generation of such abstract-description-based scenes can be a tedious
process at start, involving calculations 'by hand' on part of AGI, but
gradually through introduction of intermediate concepts this process
will become more intuitive and finally
equivalent from
scratch, but I'm not sure that's true.
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be
weighted very carefully, hopefully it will only be required for relatively
simple internal 'pre-OS' organization.
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complexity according to human intuition, and
likewise test their feasibility. This input stream shouldn't be too
cluttered (it shouldn't include things like cyc database, wikipedia, etc.),
but should assume zero knowledge.
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. It sounds pretty much like I use a
Turing Machine, but with more exotic equivalent. If you could be more
specific, it'd be interesting to have at least a rough picture of what your
approach is about.
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qualities.
It's very vague, but can with a stretch of imagination be mapped to many
other views. It's unclear with this level of detail.
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to be utilized by all MindAgents as appropriate...
-- Ben G
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: in my estimation I searched for _any_ neuron which will
be able to notice regularity, but here some neuron that is _included in B_
must notice that A is active, even though A and B are originally not related
to each other.
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are not enough for a situation. It will be
great if someone can find a simpler design.
I feel that some of complexity comes from modeling of natural language
statements. Do you agree?
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is ridiculous.
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concepts find each other in a large, high dimensional space.
Or, specifically, simple notion of neuron-level interaction doesn't seem to
provide support for induction...
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Fax (617) 494-1822
[EMAIL PROTECTED]
-Original Message-
*From:* Vladimir Nesov [mailto:[EMAIL PROTECTED]
*Sent:* Sunday, October 21, 2007 6:51 PM
*To:* agi@v2.listbox.com
*Subject:* Re: [agi] Human memory and number of synapses.. P.S.
On 10/21/07, Edward W. Porter [EMAIL
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On 11/2/07, Linas Vepstas [EMAIL PROTECTED] wrote:
On Fri, Nov 02, 2007 at 10:34:26PM +0300, Vladimir Nesov wrote:
On 11/2/07, Linas Vepstas [EMAIL PROTECTED] wrote:
On Fri, Nov 02, 2007 at 08:51:43PM +0300, Vladimir Nesov wrote:
But learning problem isn't changed by it. And if you solve
randomly from the design space.
On 11/3/07, Linas Vepstas [EMAIL PROTECTED] wrote:
On Sat, Nov 03, 2007 at 12:06:48AM +0300, Vladimir Nesov wrote:
On 11/2/07, Linas Vepstas [EMAIL PROTECTED] wrote:
On Fri, Nov 02, 2007 at 10:34:26PM +0300, Vladimir Nesov wrote:
On 11/2/07, Linas Vepstas
WILL take many lives.
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On Nov 30, 2007 9:58 PM, Ed Porter [EMAIL PROTECTED] wrote:
Vladimir Nesov There are no well-articulated theories here. I guess that
columns are induction chips: they have potential all-to-all connectivity, so
they can learn the rule in form 'after this signal comes that signal' for
any two
in it].
Ed Porter
-Original Message-
From: Vladimir Nesov [mailto:[EMAIL PROTECTED]
Sent: Friday, November 30, 2007 3:32 PM
To: agi@v2.listbox.com
Subject: Re: Cortical Columns [WAS Re: [agi] Funding AGI research]
On Nov 30, 2007 9:58 PM, Ed Porter [EMAIL PROTECTED] wrote
nearly
24 hours a day...
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On Dec 5, 2007 7:13 PM, Richard Loosemore [EMAIL PROTECTED] wrote:
Vladimir Nesov wrote:
Richard,
I'll try to summarize my solutions to these problems which allow to
use a network without need for explicit copying of instances (or any
other kind of explicit allocation of entities which
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works for a given size of corpora, and for a given level of
algorithmic sophistication.
But what's knowledge?
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large corpora of text. I would love to see how well
it actually works for a given size of corpora, and for a given level of
algorithmic sophistication.
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of the lots
of relational information on a range of topics.
Ed Porter
-Original Message-
From: Vladimir Nesov [mailto:[EMAIL PROTECTED]
Sent: Thursday, December 06, 2007 7:02 PM
To: agi@v2.listbox.com
Subject: Re: Hacker intelligence level [WAS Re: [agi] Funding AGI research
feels this way introspectively, and I'm not sure how it
can be determined experimentally, probably by delays between phases of
this process.
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mechanism that is able
to compensate for this property. This I think can be a useful
observation for AGI design.
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.
Yes, it's what I mean. But communities can exist irrespective of
funding, like this one and in previous years on SL4. I know of no
other online community that is focused on AGI (although I speak only
Russian and English, so there can be some in other languages;
Japanese, anyone?)
--
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or
even desirable.
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).
Also mechanism you describe is why I think it's OK to activate
everything that activates: higher-level control (based on regeneration
of typical patterns in recitation loops) should remove nonsense and at
the same time teach system not to produce it again.
--
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web community, but I don't follow its discussions, archives
for recent years don't show anything interesting.
I wonder where your question has a positive answer and how it can look like.
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certainly agree with the sentiment that not *all* of the process can
be as fluid as the higher level parts (if that is what you are meaning).
Or maybe they even shouldn't and can't be too fluid: it would be a
challenge to precisely implement procedures otherwise (like playing
piano).
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?
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passing the Turing Test.
===
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original texts? Probably at a point where you'll be able to make
use of ontology you'd also be able to analyze texts directly (that is,
if you aim that high, otherwise it's a different issue entirely).
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mousetrap without some
quantitative reasons for that.
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tested, because otherwise (as Legg showed) simpler agents could pass the same
tests.
For real world it's a useless observation. And no, it doesn't model
your example with humans above, it's just a superficial similarity.
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to
nothing about it, despite all these 'executive' publications and stray
papers about Novamente. Let's wait and see.
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Ben,
I'm certainly not in position to ask for it, but if it's possible, can
some kind of microphones be used during presentations on agi-08 (if
someone is going to film it)? Audio was very poor in videos from
previous events.
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Peter Turney compiled a list of materials on analogy-making, which may
be of interest to members of this list:
http://apperceptual.wordpress.com/2007/12/20/readings-in-analogy-making/
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consists in
detecting that special output symbols are activated by the system.
Streamed input corresponds to sequential activation of letters of
input text, so that first letter is externally activated at first
tact, second letter at second tact, and so on.
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consists in
ability to translate data in variety of formats between
representations, making various aspects of it explicit. As a result,
it can translate consequences of its actions into changes in external
processes, and intelligently choose these actions.
--
Vladimir Nesov
Jim,
Summarizing, you say that you might have proved P=NP, but don't give
any technical details, and there is God involved. It sounds really
bad.
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Vladimir Nesovmailto:[EMAIL PROTECTED]
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is a Boolean expression written using only AND, OR,
NOT, variables, and parentheses. The question is: given the expression, is
there some assignment of TRUE and FALSE values to the variables that will
make the entire expression true?
--
Vladimir Nesovmailto:[EMAIL
way of cheating problems in NP
now. Problem with AGI is, we don't know how to program it even given
computers with infinite computational power. The best we can imagine
is evolving it automagically.
--
Vladimir Nesovmailto:[EMAIL PROTECTED]
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in actually solving the problem.
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Vladimir Nesovmailto:[EMAIL PROTECTED]
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On Jan 23, 2008 7:10 PM, James Ratcliff [EMAIL PROTECTED] wrote:
Found this great article about bionic contacts, it looks like this group had
gone quit a ways down this path that looks promising.
http://www.msnbc.msn.com/id/22731631/
What does it have to do with AGI?
--
Vladimir Nesov
is
('normal self-reflexive brain activity?'), and if it's even an
interesting question.
Where did you see a cow that believes in qualia? Only some philosophers do.
What kind of octopus behavior is considered consistent with octopus's
belief in qualia?
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Vladimir Nesovmailto
, one dry air puff six
hours later reactivated the hourly behavior pattern.
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Vladimir Nesovmailto:[EMAIL PROTECTED]
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of programmed and
not-programmed things which are described in sufficient detail (so
that saying 'a human' won't work, since we know too little about human
brain)?
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Vladimir Nesovmailto:[EMAIL PROTECTED]
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