HDTenEightyP/NetNews huggingface dataset:
From: hutchens@cod.nosc.mil (Chris G. Hutchens)
Newsgroups: comp.ai,comp.ai.neural-nets
Subject: Seeking Neural Networks Hardware Designer Position.
Date: 7 Oct 92 01:31:56 GMT
Organization: Naval Ocean Systems Center, San Diego

From hutchens@cod.nosc.mil Wed Sep  2 16:03:36 1992
Received: from cpc-7.nosc.mil by cod.nosc.mil (5.65/1.34)
	id AA02147; Wed, 2 Sep 92 16:03:31 -0700
Date: Wed, 2 Sep 92 16:03:31 -0700
From: hutchens@cod.nosc.mil (Chris G. Hutchens)
Message-Id: <9209022303.AA02147@cod.nosc.mil>





Hello:

     I am presently in job market with neural-net
hardware design background.  This field being limited to
research territories, I am having a problem finding
suitable employment that will justify my experience and
interest.  Following is the quick summery of my research
background.

     Currently I am working as a analog neural-net IC
designer at Naval Command, Control and Ocean Surveillance
Center (NRaD), San Diego.  We develop neural network
algorithms that suit our applications and our hardware.
Currently we are implementing olfactory neural algorithm
in bulk CMOS analog integrated circuitry.  My work at
NRaD involves design of integrated circuits, SPICE
simulations, layouts, and testing of neural network
building blocks.  We are also developing the floating
gate-memory in standard CMOS process which takes
advantage of mask geometries to cause field enhanced
Fowler-Northeim tunneling of the electrons at relatively
low programming voltages.

     Should you be aware or become aware of any of your
business associates, friends or acquaintances who may be
in the market for someone with my background and
abilities, I would truly appreciate their names to
contact personally.


Regrads,


Sanjay B. Patil
3845 La Cresta Drive
San Diego, CA 92107

Phone
Work: (619) 553-2680
Home: (619) 222-2371
E-mail: hutchens@cod.nosc.mil
Newsgroups: comp.ai
From: saeed@a.cs.okstate.edu (SAEED FAISEL)
Subject: what do you know about IDS model ?
Organization: Oklahoma State University, Computer Science, Stillwater
Date: Sun, 4 Oct 92 23:04:14 GMT

I need some info on the IDS model suggested by Cornsweet & Yellot.
And I want to start with a comprehensive bibliography on IDS.

Any email containing any pointers like any work done related to IDS,
specially any publications, etc will be appreciated.

I would also like to correspond with anyone currently working on it.

-- 

Faisel Saeed
Computer Science Department,   Oklahoma State University,   Stillwater, OK 
---------------------------------------------------------------------------
From: tgd@jasper.CS.ORST.EDU (Tom Dietterich)
Newsgroups: comp.ai
Subject: Re: bboard to discuss genetic alg, connectionism, artificial life?
Date: 5 Oct 92 20:33:03 GMT
Article-I.D.: CS.1992Oct05.203303.14741
Organization: Department of Computer Science, Oregon State University

AI should be defined by the problems it addresses rather than by the
methods it employs at any particular point in time.

Over the history of the field, the problems being addressed have been
basically constant:  learning, perception, rational action, etc.

The sub-problems spawned by these top-level problems are open to
debate, of course.  For example, the importance of knowledge representation
has been under attack recently.  But these debates are substantive and
technical, rather than hype-guided.

A problem with most fields of research is that they become attached to 
only one set of methods rather than keeping their eyes on the prize.
This is as true for work in knowledge representation as it is for
work in genetic algorithms.  

-- 
Thomas G. Dietterich
Department of Computer Science
Dearborn Hall, 303
Oregon State University
Corvallis, OR 97331-3102
503-737-5559
From: cthang@vision.csl.uiuc.edu (Thang Cao Nguyen)
Newsgroups: comp.ai
Subject: Re: Has making a group for Genetic Algorithms been discussed?
Date: 1 Oct 92 01:45:59 GMT
Organization: Center for Reliable and High-Performance Computing, University of Illinois at Urbana-Champaign
NNTP-Posting-Host: vision.csl.uiuc.edu

Hi,
That seems very good.  I'd like it too.

Thang
Newsgroups: comp.ai
From: Tom Santos <tom_santos@taligent.com>
Subject: Intelligent Systems Report
X-Xxmessage-Id: <A6EA35963D03C10E@toms-quadra.taligent.com>
X-Xxdate: Sat, 26 Sep 92 15:43:18 GMT
Organization: Taligent, Inc.
X-Useragent: Nuntius v1.1.1d9
Date: Sat, 26 Sep 1992 22:43:20 GMT

I heard about this thing called "The Intelligent Systems Report".  Does
anyone
know where it is or how I can get a copy?

Thanks,
--Tom--
Newsgroups: comp.ai
From: steff@ims.uni-stuttgart.de (Stefan Momma)
Subject: Query: looking for references on ``knowledge migration''
Keywords: knowledge engineering, migration, grammar formalisms 
Reply-To: steff@ims.uni-stuttgart.de
Organization: IMS, University of Stuttgart, Germany
Date: Sun, 27 Sep 1992 22:44:45 GMT


Here's a situation we've been faced with a number of times: 

We have available System A (I'm deliberately not using any real names
here) for writing and processing grammars for Natural Language
Processing. Along comes another grammar which we want to
compare/evaluate/use, because it covers the same fragment/a larger
fragment/a different language, but it's written under System B. Or,
alternatively, we have decided to dump System A in favour of System B
(for whichever reasons), but do not want to start rewriting all our
grammars from scratch.

Now, how can we 'migrate' the linguistic knowledge that is encoded
under System B into a grammar that works under A (or vice versa, for
the second scenario)? We can imagine certain grammar formalisms, where
a conversion (automatically or by hand) can be done with a reasonable
amount of effort, and certain others where it seems obvious that a
straightforward mapping does not exist due to a completely different
way of setting up basic concepts.

What I woud like to know now is, whether the same kind of problem
exists in other areas of AI research, and what is being done about it.
Examples that would come to my mind are Expert Systems, where the
expert's knowledge can be encoded in a large variety of ways, and
where sometimes switching to a new paradigm or incorporating knowledge
from a system using a different representation language seems a
reasonable thing to do. Does switching from one system to the other
necessarily mean that you have to recode everything from scratch, or,
if not so, how is the actual "migration" done? What can we say about
the necessary "closeness" of the representation formalisms involved?

Pointers to references in the literature (if they exist) or any other
kind of help would be highly appreciated.


Stefan Momma
Computational Linguistics
University of Stuttgart


--
bits     : steff@ims.uni-stuttgart.de
ICBMs    : 48 46 36 N; 9 10 48 E; alt 245 m 
yells    : +49 711 121 1372 (-1366 if you can whistle G3)
sneakers : IMS-CL  Azenbergstrasse 12  7000 Stuttgart 1   FRG
Newsgroups: comp.ai
From: ginsberg@t.Stanford.EDU (Matthew L. Ginsberg)
Subject: Re: bboard to discuss genetic alg, connectionism, artificial life?
Organization: Computer Science Department, Stanford University
Date: Sun, 4 Oct 1992 04:17:04 GMT

In article <1992Oct4.011047.3982@CSD-NewsHost.Stanford.EDU> I wrote:

>How about if we just lump all this stuff under comp.ai.hype?

Well, I seem to have upset some people.  I thought stuff posted to
comp.ai was generally not taken too seriously, but that surely doesn't
sanction my taking a random pot shot at these fields.  Especially
since at least some people seem (mistakenly?) to view me as something
of an authority here.

Having gotten myself into this mess, let me try to at least partially
get myself out of it by explaining my attitudes a bit more clearly.

The bottom line is that I don't think you can get something for
nothing; I don't believe in any of the approaches to AI that somehow
imply that intelligence arises magically (or semi-magically) from some
interesting computational mechanism.

Unfortunately, much of the work on genetic algorithms falls into this
category.  It is of the form, "I ran this experiment and here's what
happened; I can't really tell if the result is good or bad, extensible
or not, reproducible or not, but hey, it's cool stuff."  Cool it may
be, but it is science fiction, not science.

There is, however, *some* very good work in these AI subfields.  This
is the work that tries to establish specific limitations on the
expressiveness of connectionist networks, theoretical convergence
rates for the algorithms involved, and so on.  This is certainly work
I respect, as we try to understand exactly what our techniques are and
what their limitations are.

Do I personally expect genetic algorithms and connectionism to play
much of a role when the history of AI is eventually written?  Probably
not.  I have seen too many examples of connectionist systems being
outperformed by conventional ones to be convinced that the future will
be different.  Do I think that work in connectionism should not be
funded?  No, although I *do* think that the funding agencies are
currently investing a disproportionate amount in these ideas.  That's
unfortunate for all sides -- conventional AI suffers while funds are
diverted, and we *all* suffer when the funders decide that AI has, yet
again, failed to deliver on its claims.

I would be delighted to be proved wrong, however.

						Matt Ginsberg


Newsgroups: comp.ai
From: asc@aclark (Alexander Clark)
Subject: Re: How many sentences? Estimate?
Organization: Demon Internet Services.
Date: Sun, 27 Sep 1992 07:00:35 GMT

In article <1992Sep25.191402.27609@usl.edu> mhf4421@usl.edu (Flynn Matthew  
H) writes:
> 
> I think someone had a decent point a little while back in the fact that  
there
> are an infinite number of numbers and that numbers are words.  Of course  
this
> means there are an infinite number of sentences.  Consider:
> 
>            I am one years old.
>            I am two years old.
>            I 1,898,546 micrometers tall.
>            You would need to travel 2 inches.
>            You would need to trave 5,897,456,234,123.456321 light-years.
> 
> Basicly, any object that can be quantified has an infinite number of  
possible
> modifiers.  The possibilities are indeed limitless, and you might have  
very good reason to use any number, be it 1 or a googleplex.  
I think this is a slightly artificial example.  What seems to be happening  
here is the augmentation of a natural language - English - with a  
seni-natural one - Mathematics ( in English). One can read out a formula  
in first-order predicate calculus in English , and there are countably  
many of those.
That said it seems clear that any number put forward as the answer to the  
question will be wrong ( ie too small) and thus the set is probably  
infinite.

Alexander Clark
Newsgroups: comp.ai
From: eiverson@nmsu.edu (Eric Iverson)
Subject: Re: Headhunters
Organization: Computing Research Lab
Date: Sat, 26 Sep 1992 19:24:50 GMT

In article <BERNARD.92Sep21091111@sirius.gte.com> bernard@sirius.gte.com (Bernard Silver) writes:

> Can anyone recommend good AI headhunters.  Judging from the
> AI winter articles, few seem to advertise any more.

Here's one.  Never worked with him, but haven't heard any complaints either.

Chad Thomas
Thomas Search Consultants
8409 Lake Crest Terrace
Suite B
Fairfax Station, VA  22039
Phone: (703) 643-2226 
Fax:   (703) 643-0712
c.thomas@compmail.com          
Key:	Thomas Search Consultants specializes in Artificial
	Intelligence and Human-Computer Interface R&D recruiting 
	for a nation-wide client base, and is located in the 
	greater Washington, D.C. metro area.

--
------------------------------------------------------------------------
Eric Iverson				Internet: eiverson@nmsu.edu
Computing Research Lab
Box 30001/3CRL				Life is something to do when
New Mexico State University		you can't get to sleep.
Las Cruces, NM 88003-0001			-Fran Lebowitz
VOICE: (505) 646-5711	
FAX:   (505) 646-6218
From: schwabac@yoko.rutgers.edu (Mark Schwabacher)
Newsgroups: comp.ai
Subject: When is AIENG/93?
Date: 29 Sep 92 22:05:19 GMT
Organization: Rutgers Univ., New Brunswick, N.J.

I am considering submitting a paper to the International Conference on
Applications of Artificial Intelligence in Engineering (AIENG), and
would like to know

When will it next be held?
Where?
What is the submission deadline?
Where can I get a CFP?

If you have any of this information, please send e-mail to
schwabac@cs.rutgers.edu.  Thank you.

-- Mark Schwabacher
Newsgroups: comp.ai
From: klliou@milton.u.washington.edu (Kan-Lee Liou)
Subject: Artificial life
Organization: University of Washington
Date: Thu, 1 Oct 1992 05:23:08 GMT

Is there anyone familiar with the 'Artificial Life' mentioned in the latest Newsweek magazine?

klliou@u.washington.edu

Newsgroups: comp.ai
From: ostrom@andrew.enet.dec.com (Andrew Ostrom)
Newsgroups: comp.ai
Subject: DEC OPS5 group looking for customer input
Date: 30 Sep 92 21:10:44 GMT
Reply-To: ostrom@andrew.enet.dec.com (Andrew Ostrom)
Organization: Digital Equipment Corporation


---

    The Expert Systems Technologies Group here at Digital (TM) is in the
    process of developing and prioritizing the list of new features
    scheduled for inclusion in the next major release of DEC OPS5.  DEC
    OPS5 is a forward-chaining production rule system, based on the
    public domain OPS5 specification, and extended with Digital specific
    features and enhancements.  Version 4.0 of DEC OPS5 began shipping in
    June, 1992.
    
    As part of this process, the engineering team is conducting on-site
    visits to organizations that are currently using DEC OPS5 as well as
    those that have either stopped using OPS5 or are using a competitive
    tool (CLIPS, ADS, Nexpert Object, KBMS, OPS83, RAL, etc.).  Our goal
    is to learn more about how expert systems developers are using rule
    programming to solve real world problems and how we can improve our
    tool to make their job easier.
    
    If your organization is a user of DEC OPS5 or of another rule-based
    technology and would like to be considered for a visit by one or more
    engineers from Digital, please send me electronic mail at:
    
                        ostrom@andrew.enet.dec.com
                        
    Thanks.
    
                        Andy Ostrom
                        Knowledge Based Systems Product Management

---
Andy Ostrom     ostrom@andrew.enet.dec.com
                --or-- ...!decwrl!andrew.enet.dec.com!ostrom
                --or-- ostrom%andrew.enet@decwrl.dec.com
---
                                 
Newsgroups: comp.ai,unsw.general,syd.seminar,aus.ai,comp.ai.neural-nets
From: timm@spectrum.cs.unsw.oz.au (Tim Menzies)
Subject: UNSW AI SEMINAR 2/10: Aitkins on a Neuroscience workbench
Reply-To: timm@spectrum.cs.unsw.oz.au (Tim Menzies)
Organization: none
Distribution: aus
Date: Tue, 29 Sep 1992 01:29:45 GMT

               University of New South Wales

         School of Computer Science and Engineering

             Artificial Intelligence Laboratory

                       Seminar Series

TITLE:         The  Valentino   Computational   Neuroscience
               Workbench

WHO:           Ashley Aitken
               AI Lab, UNSW

WHEN:          1-2pm, Friday, 2nd October, 1992.

ABSTRACT:      The  Valentino   Computational   Neuroscience
               Workbench  (CNW)  is  an innovative simulator
               system designed  to  facilitate  research  in
               neural  networks  and  other parallel distri-
               buted  processing  paradigms.    The   system
               incorporates  an object-oriented design and a
               workbench  metaphor  wherein  a   number   of
               independent  tools  manipulate  a shared per-
               sistent simulation structure  containing  the
               processing elements.

               Central to the system is  a  novel  tool  for
               configuring  structured neural networks using
               a  graphical  user-interface   and   powerful
               selection    criteria   and   interconnection
               schema.  Other tools allow the researcher  to
               input  data,  update  the network, and record
               and investigate the state of the network with
               a great amount of flexibility and power.

               Additionaly,  due  to   the   object-oriented
               nature  of  the  system  it  is simple to add
               extra, or modify  currently  available,  pro-
               cessing units, selection criteria, and inter-
               connection schema.  Together  these  separate
               tools  and  the  simulator's  object-oriented
               design make the Valentino CNW powerful, flex-
               ible,  extendible and, yet, still easy-to-use
               - unlike  some  other,  presently  available,
               simulators.

WHERE:         Rm 212, Samuel Building,  University  of  New
               South Wales. Enter off Botany Street, stop at
               gate and  ask  grey  men  for  day  pass  and
               instructions.  Park  in  the main car park on
               your left.  The Samuels building is the  gray
               building   directly  behind  the  gates  with
               strange shield-like objects over the windows.

INQUIRIES:     timm@spectrum.cs.unsw.oz.au (Tim Menzies)

--------------------------------------------------------------

                       PLEASE NOTE:

If you have a seminar that you would like to present at this
forum, contact Tim.
Newsgroups: comp.ai,comp.robotics,sci.electronics
From: steve@fulcrum.oz.au (Steve Taylor)
Subject: Re: Stiquito, A Small Nitinol-Propelled Robot
Keywords: Nitinol, Flexinol(tm), legged, robot
Organization: The Fulcrum Consulting Group
Date: Wed, 30 Sep 1992 00:56:41 GMT

In <ws!p8+=.nagle@netcom.com> nagle@netcom.com (John Nagle) writes:

>A $100 kit with more smarts would be much more interesting.

I'd certainly be glad to pay for something programmable with a few 
photosensors or the like. Still, this critter was designed to be cheap and
simple enough to hand out to whole classes of students who would get to
explore the horrors of interfacing, and on that basis I think it's
a success.

Looks a bitch to assemble though.

>					John Nagle


					Steve Taylor
Newsgroups: comp.ai
From: iscliub@nuscc.nus.sg (Liu Bing (Dr))
Subject: looking for a public domain ES shell in Lisp ...
Organization: National University of Singapore
Date: Wed, 7 Oct 1992 03:24:52 GMT

Does anyone know of a public domain Expert System shell in Common Lisp?
It does not have to be a full-blown system as long as it has the basics,
such as forward chaining and backward chaining. 

Bing Liu
Department of Information Systems and Computer Science
National University of Singapore
Lower Kent Ridge Road
Singapore, 0511

E-mail: liub@iscs.nus.sg
 	
Newsgroups: comp.ai
From: vestli@ifr.ethz.ch (Sjur Jonas Vestli)
Subject: Re: ROBOT PING-PONG CHAMPIONSHIPS
Reply-To: vestli@ifr.ethz.ch (Sjur Jonas Vestli)
Organization: Swiss Federal Institute of Technology - Inst. of Robotics
Date: Tue, 29 Sep 1992 10:04:21 GMT

In article <1992Sep28.142326.19218@schbbs.mot.com>,
R13552@paccvm.corp.mot.com (Taylor Cheng) writes:
|> 
|> The 1992 Robot Ping-pong World Championships was held in Hong Kong
in
|> Sept 28 (Sun). Four teams from Hong Kong, England, Switzerland, and
|> Sweden competed and results are as follows :-
|> 
|> World Championships: "BATMAN", Institute of Robotics, ETH,
Switzerland,
|> first runner-up    : "CHARLIE V", Highbury College, Portsmouth,
England,
|> second runner-up   : "Citybat 1", City Polytechnic of Hong Kong,
|> third runner-up    : "GIRL", Lund Institute of Technology, Sweden.
|> 
|> I was one of the audience and was very impressed by their
performances.
|> Conceivably, the four teams should have (or will) published some of
their
|> research findings in technical journals. Could anyone tell me where I
can
|> find those publications?I am particularly like to know what
learning/
|> training techniques have the four teams employed.
|> Best Regards, Taylor
|> (R13552@paccvm.mot.corp.com)

All the articles relevant to BATMAN published by members of staff at
the IfR, ETH, can be aquired from (ask for a list of publications):
  Secretariat
  Institute of Robotics
  Leonhardstrasse 27
  8092 Zuerich
  Switzerland.
  Fax: 01 252 02 76
Sorry no email.

Or you can try contacting the researchers of our institute involved in
the project as follows:
  albert@ifr.ethz.ch
  wen@ifr.ethz.ch
  ladi@ifr.ethz.ch
But they are currently somewhere in Asia on holiday, after having put
in
a few "all-nighters" to get the thing working.

Sjur Vestli
From: nagle@netcom.com (John Nagle)
Newsgroups: comp.ai
Subject: Re: bboard to discuss genetic alg, connectionism, artificial life?
Date: 4 Oct 92 17:25:09 GMT
Organization: Netcom - Online Communication Services  (408 241-9760 guest)

ginsberg@t.Stanford.EDU (Matthew L. Ginsberg) writes:

>In article <1992Oct4.011047.3982@CSD-NewsHost.Stanford.EDU> I wrote:
>Unfortunately, much of the work on genetic algorithms falls into this
>category.  It is of the form, "I ran this experiment and here's what
>happened; I can't really tell if the result is good or bad, extensible
>or not, reproducible or not, but hey, it's cool stuff."  Cool it may
>be, but it is science fiction, not science.

      Huh?  The first major application of genetic algorithms was to
gas pipeline control optimization, which it apparently did well.

      Genetic algorithms are strategies for solving nonlinear optimization 
problems dominated by local minima.  This may turn out to be how to do
AI, but so far, it's mostly a technique for number-crunching.

					John Nagle
Newsgroups: comp.ai
From: jwiegand@moe.eng.temple.edu ()
Subject: Re: Fuzzy Logic for Character Recognition
Organization: Temple University EE Dept.
Keywords: fuzzy logic, character recognition, Huntington Report
Date: Sun, 4 Oct 1992 19:00:24 GMT
X-Posted-From: moe.eng.temple.edu
NNTP-Posting-Host: sol.ctr.columbia.edu

Thanks for the post. Where are the FuzzyNet and Motorola FREEBBS?
Please post or email.
jim "the fuzzy guy at temple"

Newsgroups: comp.ai,comp.robotics,sci.electronics
From: ted@nmsu.edu (Ted Dunning)
Subject: Re: Stiquito, A Small Nitinol-Propelled Robot
Reply-To: ted@nmsu.edu
Organization: Computing Research Lab
	<TED.92Sep27215600@lole.nmsu.edu>
	<1992Sep28.094245.5376@news.cs.indiana.edu>
Date: Wed, 30 Sep 1992 00:24:58 GMT


In article <1992Sep28.094245.5376@news.cs.indiana.edu> "Jonathan Mills" <jwmills@moose.cs.indiana.edu> writes:

   >furthermore, with a 50 GRAM payload, it is going to be hard to put
   >enough batteries on the beast to take more than a few steps.  

   The payload may be underestimated.  Stiquito in its role as
   Braitenburg Bug carries a 6-volt alkaline "J" battery, a handful of
   2N2222 and 2N2907 transistors, resistors, capacitors, LEDs, and
   cermet trimmers.

so this sounds like a comparable load to miniboard plus comparable
battery.  i take it back.


btw... what exactly is a J battery?

   the post on walking CPUs.  What else can you think of?

   Sincerely,
   Jonathan
Xref: sparky comp.ai:3778 comp.ai.neural-nets:3787 comp.ai.philosophy:6309 sci.psychology:4033
From: PNCSPPC@ccvax1.cc.ncsu.edu
Newsgroups: comp.ai
Subject: Computer applications in the life sciences?
Date: 6 Oct 1992 19:46:12 -0500
Organization: UTexas Mail-to-News Gateway
NNTP-Posting-Host: cs.utexas.edu

My educational background is in the life sciences.  I have a B.S. in
biology and recently completed an M.S. in food science (microbiology
minor).  Lately, I have become more and more interested in software
development.  Does anyone know of any graduate programs where I could do
research on computer applications in the biological sciences-- for example,
use of AI to solve problems in pharmacology, medicine, drug
design/development, etc.?  Suggestions on good books or articles to read
would also be appreciated.

Phil Calvert
 
<Bitnet: pncsppc@ncsuvax / Internet: pncsppc@ccvax1.cc.ncsu.edu>
Newsgroups: comp.ai
From: sdhar@uceng.UC.EDU (Suman Dhar)
Subject: test
Organization: College of Engineering, University of Cincinnati
Date: Thu, 1 Oct 1992 00:40:10 GMT


This is a test
Newsgroups: comp.ai