Re: [agi] Google as a strong AI

2005-03-15 Thread Eugen Leitl
On Mon, Mar 14, 2005 at 09:31:14PM -0500, Dennis Gorelik wrote:
 Eugen,
 
 1) Google uses relatively simple algorithms.
 But it does a lot of data mining (because of volume).

This is pure semantics. Let's agree to disagree.
 
 2) Over 99% of intelligence of any human being came from other people
 (society).

No. Society doesn't help me see and walk. I can still function if the rest of
the humanity would disappear into thin air.

Since I don't assume you're trolling, your model of what general AI is pretty
wack.

 Google does the same.
 
 3) Machine vision is irrelevant to strong AI.

Sorry, but this is rubbish. AI has been attained when a robot can navigate in
cluttered surroundings, and can solve simple tasks. (Which is another of
places where neither Google nor LISP are going to be of any help).

 Blind people can be very intelligent without any vision at all.
 Over 99% humans doesn't construct semantic image in the way different
 from what Google does.

Sure, whatever.

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Re: [agi] RE: Lojban and AI

2005-03-15 Thread Eugen Leitl
On Tue, Mar 15, 2005 at 01:37:16AM -0500, [EMAIL PROTECTED] wrote:

 If we cannot learn some messy alien language quickly then it
 IMO definitely does not mean we are too dumb to learn to think.
 There are people who have exceptional problem solving skills,
 yet learning another language is a real challenge for them.

The general part of general AI refers to a small amount of cognitive
deficits. Whereas the current state of AI refers to some very few, isolated
capabilities which collapse into nothing when you make one step in problem
space. Current AI is wasteland of absence, with some very few spikes here and
there.

No generalisation. No learning. That's the state of the art.

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[agi] Extended deadline for Call for Team Leader (fwd from [EMAIL PROTECTED])

2005-03-15 Thread Eugen Leitl
- Forwarded message from [EMAIL PROTECTED] -

From: [EMAIL PROTECTED]
Date: Mon, 14 Mar 2005 13:08:15 +0900
To: [EMAIL PROTECTED]
Cc: [EMAIL PROTECTED]
Subject: Extended deadline for Call for Team Leader
X-Mailer: JsvMail 5.5 (Shuriken Pro3)
Reply-To: [EMAIL PROTECTED]

(Sorry if you received multiple copies of this document. We would like 
to announce the deadline has been extended from May 31 to June 30.)

Laboratory Head and Unit Leader Positions in the Area of Creating the Brain

The RIKEN Brain Science Institute (BSI), Japan's largest international
neuroscience institute, is seeking outstanding applicants for several
fulltime laboratory head and unit leader positions to develop its
interdisciplinary research area of Creating the Brain. This area
comprises a Computational Neuroscience Group that will focus on 
developing computational theories that elucidate brain functions and
mechanisms, and a Brain-Style Computing Group that will aim towards
establishing new brain-style information technologies that utilize
computational theories modeling brain function. The two groups will work
in close collaboration, including joint research projects where beneficial.
The research topics of the new laboratories and units may include, for
example, computational neuroscience, brain-style robotics,
neuro-linguistics, neuromorphic engineering and mathematical neuroscience.
Applicants are encouraged to submit unique and creative research proposals
that fit within this research context.

New laboratory heads will be provided generous subsidies to organize teams
of around 6 researchers and technical staff. Units will also be provided
subsidies to build teams of around 3 members, and can be promoted to full
laboratory status based on successful review. Employment contracts are
renewed annually though full support will be provided for the initial 5
years, after which renewal will depend on the results of a progress review
conducted by an international review committee.

Attractive remuneration packages will be available for suitably qualified
and experienced candidates with a record of achievement. A benefits package
including health, pension, and subsidies for housing and relocation
expenses, is also provided. Applicants living outside Japan are highly
encouraged to apply. Successful candidates will be able to develop and
direct research plans that match the research objectives of the Creating 
the Brain area, as well as possess a strong desire for interdisciplinary
research work. Excellent leadership, interpersonal, communication and
team-building skills are essential, in addition to a strong capacity for
working in multicultural environments. More information about the institute
can be obtained at http://www.brain.riken.jp . Inquiries can be directed to 
the e-mail address below.

Applicants should send, fax or e-mail 1) research interests and project
proposal for work at BSI (max 2000 words), 2) a full curriculum vitae, 3)
publication list, 4) a statement highlighting main accomplishments, and 5)
names and addresses of three references to the address below.

Search Committee 22
RIKEN Brain Science Institute
2-1 Hirosawa Wako, Saitama 351-0198, Japan
FAX: +81-48-462-4796
E-mail: [EMAIL PROTECTED]

Closing date: June 30, 2005

Shun-ichi Amari

 Director, RIKEN Brain Science Institute
 Laboratory for Mathematical Neuroscience 
 Hirosawa 2-1, Wako-shi, Saitama 351-0198, Japan
 +81-48-467-9669 fax +81-48-467-9687
 [EMAIL PROTECTED]
 http://www.brain.riken.jp/labs/mns/
 http://www.brain.riken.jp/english/b_rear/b0_rear.html

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Re[2]: [agi] Google as a strong AI

2005-03-15 Thread Stephen Reed
On Mon, 14 Mar 2005, Dennis Gorelik wrote:

 From my point of view CYC in on the same level of intelligence as
 MS Word. Well, probably MS Word is even more intelligent.
 At least MS Word works and produce nice and intelligent results (not
 super-intelligent though).
 Does CYC have any practical use at all?

Speaking with my own opinion, and not that of my employer Cycorp, I would 
say that the Cyc approach to AI at a meta level is the same as that taken 
by other individuals and groups creating an AI.  The approach is to 
identify the hard AI problem first and solve it, then move on to the rest 
of the required behaviors.  In the mid-1980's Doug Lenat identified 
commonsense knowledge as the hard AI problem, that once solved would 
enable otherwise brittle domain-specific expert systems to work together 
robustly and be easily extendible.  Cyc's commonsense knowledge is 
organized into an ontology suitable for symbolically representing the full 
range of human thoughts.  Cyc's current behavior is fact entry and 
question answering, with additional web based tools for rule creation and 
knowledge base browsing.  The recent release of OpenCyc 0.9 contains three 
times as many facts as the prior release.  A new product, ResearchCyc, is 
available for academic/commercial research (without a fee), that contains 
even more content (e.g. the lexicon) and the full set of tools.

Presently the greatest practical use of Cyc in my opinion is it's 
ontology, which may be applied to organize concepts and relations in any 
application.  We have provided specialized ontology exports to government 
entities for a few years, and have recently published the entire OpenCyc 
ontology in OWL (the Web Ontology Language) format on our web site.

Our government sponsors have provisions for Cyc applications to be tested 
this year with user organizations, so that will be a test of practical 
use.

Beyond question answering, a wider range of intelligent behavior is 
possible.  My own ambition for example, is to enable Cyc to be curious, to 
take the initiative, to seek required knowledge and improve its own 
behavior using a hierarchical goal-oriented command structure.

Dennis, I have toured your web site and have the following points about 
features that Cyc has that you might have to eventually incorporate into 
your own architecture:

1. Distinction between individuals (CityOfAtlantaGA) and types of 
individuals (USCity)

2. Type taxonomy of concepts so that specific types have one or more 
supertypes (including a taxonomy of relationships) 

3. Context.  This is the ability to group assertions that have shared 
assumptions, and to exclude wrong contexts when answering questions  

4. Meta assertions, in which a concept in a relationship is itself a 
relationship between other concepts

5. First order rules - every bat has two wings, in which quantified 
variables concisely represent what would otherwise be a large number of 
ground facts

6. Complex objects, notably events and situations.  Cyc treats these 
according to the philosophy of Donald Davidson, all actions are rich 
events that entail various actors (e.g. a robbery event has a robbed 
entity even if you are only told about the robber).  Cyc has a rich 
vocabulary of actor roles for thousands of situation and event types.

6. Truth maintenance.  This is Cyc's ability to automatically retract all 
the associated facts when a concept is removed from the knowledge base

7.  Lexicon.  This the association of natural language (mostly English) 
words and multi-word strings with concepts, and in the case of event and 
situation concepts the lexicon contains verb frames (e.g. how are the 
sentence subject and object related?)

8.  Inference.  Forwards deductive inference automatically asserts new 
derived facts when certain antecedent facts are asserted (using marked 
forwards-firing implication rules).  Backwards deductive inference uses 
rule back-chaining to answer queries when the ground facts cannot be 
simply looked-up.  There are numerous special cases to optimize.  For 
example many relationships are transitive (greaterThan).

8a.  Temporal inference - the ability to reason about time intervals, time 
points (e.g. What World War II movies starred John Wayne?)

8b.  Modal inference - represent and answer questions about assertions 
with modal logical operators, e.g. John ought to get enough sleep.

8c.  Abduction - when directed, hypothesize the best answers to queries

Cheers.
-Steve

-- 
===
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Cycorp, Suite 100  fax:  512.342.4040
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Re: Re[2]: [agi] LISP as a Strong AI development tool

2005-03-15 Thread Lukasz Kaiser
Hi.

 I don't see any practical use of Start systems.
 Do you?

Yes I do - to answer questions and retrieve information.
It's just a shot at a better google and you do see a use for it.
 
 Second reference doesn't work.

Works for me, perhaps you need to update your browser.

- lk

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Re: [agi] Google as a strong AI

2005-03-15 Thread Paul Fidika



Ben Goertzel wrote:

Cyc, SOAR and Novamente are all closer 
to strong AI than Google, since
they can carry out a greater variety of 
intelligence-like functions.

Last I checked, Google is used by 100 million 
people daily, while, to the best of my knowledge, neither Cyc nor SOAR have 
seenmore than two or three applications outside of the "Blocks-world", 
while your Novamente project, under your own admission, is underrather 
tight financial straights at the moment, so much so that you've had to start 
asking for donations to have the spare time to do some "pure AGI" work... (Don't 
you think a 60%-complete human-level intelligence should be capable of 
doingSOMETHING somone would pay good money for?) If Cyc, SOAR, or 
Novamente posses even a fraction of the "variety of intelligence-like functions" 
that you seem to think they do, then where are their promised killer-apps? 


Eugen Leitl wrote:
To my best knowledge (which is not much) Google 
currently doesn't utilizeany advanced algorithms which could (however 
tenuously) be termed AI.

If SHRDLU, ELIZA, or any of the various silly 
little programs Hofstadterhas ever written receive the title of "AI", 
whydo you insist on begrudging Google the title?

Paul Fidika
[EMAIL PROTECTED]


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Re: [agi] Google as a strong AI

2005-03-15 Thread J Marlow
On Tue, 15 Mar 2005 12:18:31 -0600, Paul Fidika [EMAIL PROTECTED] wrote:
 Last I checked, Google is used by 100 million people daily, while, to the
 best of my knowledge, neither Cyc nor SOAR have seen more than two or three
 applications outside of the Blocks-world, while your Novamente project,
 under your own admission, is under rather tight financial straights at the
 moment, so much so that you've had to start asking for donations to have the
 spare time to do some pure AGI work... 

Windows 98 is probably used by nearly as many people as google.  But I
don't think that that is good evidence that Windows is intelligent.  I
seem to remember seeing a demonstration once where Lenat asked Cyc to
give examples of people who were happy, and it returned pictures of
children riding bicycles for the first time or something similar
(perhaps Stephen can correct me if I'm a bit off).  That is probably a
bit better than Google could do.  As far as I know, much of Google's
functionality was based upon counting the number of links leading to a
page and using that a measure of its importance.

 (Don't you think a 60%-complete
 human-level intelligence should be capable of doing SOMETHING somone would
 pay good money for?) If Cyc, SOAR, or Novamente posses even a fraction of
 the variety of intelligence-like functions that you seem to think they do,
 then where are their promised killer-apps? 
   

A person's mind is probably a fairly complicated system.  Lots of
pieces depend on other pieces and lots of experience.  It seems like
even a small damage to some portion of it could greatly impare
someone's intellectual capacities.  Studies of brain damage seems to
largely confirm this intuition.  As I understand it, none of the
authors of these projects claim to be anywhere near complete, so I
don't think it fair to expect them to yield very humanlike results
yet.

 Eugen Leitl wrote: 
 To my best knowledge (which is not much) Google currently doesn't utilize
 any advanced algorithms which could (however tenuously) be termed AI. 
   
 If SHRDLU, ELIZA, or any of the various silly little programs Hofstadter has
 ever written receive the title of AI, why do you insist on begrudging
 Google the title? 

I think the disagreement was over whether Google could be called
Strong AI.  As in, on the path to human equivalence.  This is a
rather ambitious title, and none of those programs claim to deserve
it.

Josh

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Re: [agi] Google as a strong AI

2005-03-15 Thread Bill Hibbard
I agree with the posters who say that Google is not strong AI.
But it is amazingly useful because it, along with the web, forms
a huge content-addressable memory. That's an important part of
human brains. I think of google as my second brain. It can't
think, but it is a wonderful complement to our own memories.

Cheers,
Bill

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