On 6/11/07, J Storrs Hall, PhD <[EMAIL PROTECTED]> wrote:
I'll try to answer this and Mike Tintner's question at the same time. The
typical GOFAI engine over the past decades has had a layer structure
something like this:
Problem-specific assertions
Inference engine/database
Lisp
on top of the
On Thursday 14 June 2007 02:12:29 am Joshua Fox wrote:
> I don't want to join any herd -- perhaps I just want to figure out why there
> is no AGI herd yet; as much a sociological question as a scientific one.
It's probably worth pointing out to this group that for the first 25 years of
its histor
Eliezer,
"Elite"? There is no governing scientific authority until someone actually
builds an AI.
By "elite" I was simply referring to whatever small fraction of the
established AI researchers which is creative, open-minded, and intelligent.
There must be a few of those out there, and I'd li
Joshua Fox wrote:
Josh,
Your point about layering makes perfect sense.
I just ordered your book, but, impatient as I am, could I ask a question
about this, though I've asked a similar question before:
Why have not the elite of intelligent and open-minded leading
AI researchers not attempted
Matt Mahoney <[EMAIL PROTECTED]> wrote:
--- James Ratcliff wrote:
> I believe that is just a simple rule that you can input in most systems, and
> it will match that point, but promgramming in each of those rules is a very
> costly affair.
Fortunately, natural language (unlike artificial lang
--- James Ratcliff <[EMAIL PROTECTED]> wrote:
> I believe that is just a simple rule that you can input in most systems, and
> it will match that point, but promgramming in each of those rules is a very
> costly affair.
Fortunately, natural language (unlike artificial language) has a structure
t
I believe that is just a simple rule that you can input in most systems, and it
will match that point, but promgramming in each of those rules is a very costly
affair.
James
Matt Mahoney <[EMAIL PROTECTED]> wrote:
--- James Ratcliff wrote:
> Interesting points, but I believe you can get aro
--- James Ratcliff <[EMAIL PROTECTED]> wrote:
> Interesting points, but I believe you can get around alot of the problems
> with two additional factors,
> a. using either large quantities of quality text, (ie novels, newspapers) or
> similar texts like newspapers.
> b. using a interactive built
On Monday 11 June 2007 02:06:35 pm Joshua Fox wrote:
...
> Could I ask also that you take a stab at a psychological/sociological
> question: Why have not the leading minds of AI (considering for this
> purpose only the true creative thinkers with status in the community,
> however small a fraction
Josh,
Thanks for that answer on the layering of mind.
It's not that any existing level is wrong, but there aren't enough of
them, so
that the higher ones aren't being built on the right primitives in current
systems. Word-level concepts in the mind are much more elastic and plastic
than logi
Correct, but I don't believe that systems (like Cyc) are doing this type of
Active learning now, and it would help to gather quality information and
fact-check it.
Cyc does have some interesting projects where it takes a proposed statment and
when a engineer is working with it, will go out an
On 6/11/07, James Ratcliff <[EMAIL PROTECTED]> wrote:
Interesting points, but I believe you can get around alot of the problems
with two additional factors,
a. using either large quantities of quality text, (ie novels, newspapers) or
similar texts like newspapers.
b. using a interactive built in
Interesting points, but I believe you can get around alot of the problems with
two additional factors,
a. using either large quantities of quality text, (ie novels, newspapers) or
similar texts like newspapers.
b. using a interactive built in 'checker' system, assisted learning where the
AI cou
I'll try to answer this and Mike Tintner's question at the same time. The
typical GOFAI engine over the past decades has had a layer structure
something like this:
Problem-specific assertions
Inference engine/database
Lisp
on top of the machine and OS. Now it turns out that this is plenty to bu
Josh,
Your point about layering makes perfect sense.
I just ordered your book, but, impatient as I am, could I ask a question
about this, though I've asked a similar question before: Why have not the
elite of intelligent and open-minded leading AI researchers not attempted a
multi-layered approa
Josh:
Most AI (including a lot of what gets talked about here) is the equivalent
of
trying to implement the mail-reader directly in machine code (or
transistors,
for connectionists). Why people can't get the notion that the brain is
going
to be at least as ontologically deep as a desktop GUI is
Here's a big one: Levels of abstraction.
I assume many of you are using a GUI mail client to read this. You're
interacting with it in terms of windows, panels, boxes, buttons, menus,
dragging and dropping.
The GUI was written in terms of a toolkit that implements those concepts on
top of an onto
Josh: If you want to understand why existing approaches to AI haven't
worked, try Beyond AI by yours truly
Any major point or points worth raising here?
Yo, troll,
If you're really interested, then go get the book and stop wasting
bandwidth.
If you had any clue about AGI, you'd realiz
Josh: If you want to understand why existing approaches to AI haven't
worked, try
Beyond AI by yours truly
Any major point or points worth raising here?
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On 6/10/07, J Storrs Hall, PhD <[EMAIL PROTECTED]> wrote:
If you want to understand why existing approaches to AI haven't worked, try
Beyond AI by yours truly.
OK.
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For what purpose?
If you're looking for a doorstop, Wolfram's A New Kind of Science would be
superior to any one on your list. If you want something to read to your
grandchildren, Winnie the Pooh by A A Milne is infinitely better. If you work
with real matter in a lab, the CRC Handbook is indi
On 6/9/07, YKY (Yan King Yin) <[EMAIL PROTECTED]> wrote:
I'm not aware of any book on pattern recognition with a view on AGI, except
The Pattern Recognition Basis of Artificial Intelligence by Don Tveter
(1998):
http://www.dontveter.com/basisofai/basisofai.html
You may look at The Cambridge Han
On 6/9/07, Lukasz Stafiniak <[EMAIL PROTECTED]> wrote:
I've ended up with the following list. What do you think?
I would like to add "Locus Solum" by Girard to this list, and then is
seems to collapse into a black hole... Don't care?
* Ming Li and Paul Vitanyi, "An Introduction to Kolmogoro
--- Charles D Hixson <[EMAIL PROTECTED]> wrote:
> Mark Waser wrote:
> > >> The problem of logical reasoning in natural language is a pattern
> > recognition
> > >> problem (like natural language recognition in general). For example:
> >
> > >> - Frogs are green. Kermit is a frog. Therefore Ke
I've ended up with the following list. What do you think?
* Ming Li and Paul Vitanyi, "An Introduction to Kolmogorov Complexity
and Its Applications", Springer Verlag 1997
* Marcus Hutter, "Universal Artificial Intelligence: Sequential
Decisions Based On Algorithmic Probability", Springer Ver
Mark Waser wrote:
>> The problem of logical reasoning in natural language is a pattern
recognition
>> problem (like natural language recognition in general). For example:
>> - Frogs are green. Kermit is a frog. Therefore Kermit is green.
>> - Cities have tall buildings. New York is a city.
>> The problem of logical reasoning in natural language is a pattern recognition
>> problem (like natural language recognition in general). For example:
>> - Frogs are green. Kermit is a frog. Therefore Kermit is green.
>> - Cities have tall buildings. New York is a city. Therefore New York h
--- "YKY (Yan King Yin)" <[EMAIL PROTECTED]> wrote:
> On 6/7/07, Lukasz Stafiniak <[EMAIL PROTECTED]> wrote:
> > Pattern Recognition, Third Edition (Hardcover)
> > by Sergios Theodoridis (Author), Konstantinos Koutroumbas (Author)
> I have this one too, but the question is, how to apply pattern r
On 6/7/07, Lukasz Stafiniak <[EMAIL PROTECTED]> wrote:
Reasoning about Uncertainty (Paperback)
by Joseph Y. Halpern
BTW, the .chm version of this book can be easily obtained on the net, as are
many others you listed...
I also recommand J Pearl's 2 books (Probabilistic Reasoning and Causality).
Which books would you recommend? For which there is a better
replacement? My results of quick amazon.com browsing:
Body Language: Representation in Action (Bradford Books) (Hardcover)
by Mark Rowlands (Author)
http://www.amazon.com/Body-Language-Representation-Action-Bradford/dp/0262182556/ref=pd
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