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Neuron Digest Volume 06 Number 20
Neuron Digest Monday, 12 Mar 1990 Volume 6 : Issue 20
Today's Topics:
Mead Reference
Music by Kohonen's NN
Re: Music by Kohonen's NN
Re: ARTS
Searle questions
French student looking for a studentship
MINDS & MACHINES: NEW JOURNAL--CALL FOR PAPERS
Australian Neural Network Society
NNSS update
Expert systems and systematic biology workshop
Call for papers: 7th Israel Conf. AI & CV
IJCNN-90 San Diego
Send submissions, questions, address maintenance and requests for old issues to
"neuron-request@hplabs.hp.com" or "{any backbone,uunet}!hplabs!neuron-request"
Use "ftp" to get old issues from hplpm.hpl.hp.com (15.255.176.205).
------------------------------------------------------------
Subject: Mead Reference
From: RAMontante <bobmon@iuvax.cs.indiana.edu>
Date: Fri, 09 Mar 90 15:45:59 -0500
[[ Editor's Note: Thanks to Stephen, Brandt, and Don for supplying the
full reference to MEad's book. As Brandt mentioned, it has ISBN
0-201-05992-4. I've included the message below as a nice example of
keeping a bibliography. -PM ]]
%A Carver Mead
%T Analog VLSI and Neural Systems
%P 371
%I Addison-Wesley
%C Reading, MA
%D 1989
%O QA76.5.M39 1989
%K transconductance retina neuron CMOS seehear motion cochlea eclectronics
------------------------------
Subject: Music by Kohonen's NN
From: pau6945@cec1.wustl.edu (Peter Allen Uchytil)
Organization: Washington University, St. Louis, MO
Date: 06 Mar 90 20:01:47 +0000
[[ Editor's note: Regular readers will remember my reaction to Kohonen's
music at ast summer's IJCNN. Here's a more recent observation. -PM ]]
Does anyone out there know if Teuvo Kohonen has published any papers on
his dealings with concert music generated by nerual networks? I have a
copy of IJCNN-90 conference program and it shows that he gave an hour
presentation on this subject. Did anyone attend? Better yet, does
anyone know where I can get a sample of this music? Thanks for anything
you can tell me.
Peter Uchytil
pau6945@cec2.wustl.edu
------------------------------
Subject: Re: Music by Kohonen's NN
From: tedwards@nrl-cmf.UUCP (Thomas Edwards)
Organization: NRL Connection Machine Facility, Washington, DC
Date: 09 Mar 90 21:10:09 +0000
Kohonen's "Neural Network Music" actually is not Neural Network Music (at
least what he presented at IJCNN '90) He informed the audience that it
was based more on a stochastic analysis of human composers (including
mixing various composers). The exact algorithm is not expected to be
published exactly because there is much commercial interest in his
technique. The music was nice (and gave me a nice chance to close my
eyes and rest after volunteering at the conf all day), but had the
typical computer generated lack of overall theme, and there were some
times when I just couldn't help thinking "That was the wrong note for
this song." However, it did seem to create often wonderfully powerful
repetitons of strong note sequences. Since I like the Ramones, I think I
had a much easier time with the dissonance than alot of other people
might. Also, the songs were done with beautifully sounding synthesizers,
which will always color the music better than bad instruments.
-Tom
------------------------------
Subject: Re: ARTS
From: J.Kingdon@Cs.Ucl.AC.UK
Date: Fri, 09 Mar 90 21:59:15 +0000
There's been some recent talk about ARTS systems, I can't comment on 2 or
3, but I would suggest ART1 has problems. Taking equations from "A
Massively Parallel Architecture for a Self-Organizing Neural Pattern
Recognition Machine 1987" G.Carpenter, S.Grossberg, Computer Vision,
Graphics, and Image Processing 37, 54-115.
We have two layers of neurons,
input neurons v_i at F_1 and top-layer neurons v_j at F_2. The two layers
are connected via two forms of edge, bottom-up long term memory (LTM)
Z_{i,j} connecting neuron v_i at F_1 to neuron v_j at F_2 and top-down LTM
Z_{j,i} connecting neuron v_j at F_2 to neuron v_i at F_1.
Using Grossberg equations (pg 82) we let:
I = Set of indexes of neurons v_i that receive input 1 on presentation of
input IN (a pattern of 0's and 1's).
V^j = Set of indexes such that i is an element of V^j iff Z_{j,i} (top-down
LTM strength) is greater than the critical
LTM strength needed for v_i (at F_1)
to be active when v_j is active (at F_2) and i an element of I.
(That is to say V^j is the template pattern stored in long term memory
which has been referenced by the input pattern IN).
X = Set of active neurons at F_1.
Thus the 2\3 rule can be expressed,
( I, if F_2 inactive,
X = <
( I intersect V^J, if F_2 neuron v_j is active.
An active F_2 neuron is reset if,
|I intersect V^j|
------------------- < P.
|I|
Where P is the vigilance parameter. With winner takes all at F_2 and the
equations for fast learning the following arises.
For simplicity assume 9 neurons at F_1 and 3 neurons at F_2. Thus such a
system has the capability of categorizing its environment into 3 distinct
categories, also assume P=1 (i.e we want perfect fits). We then present
the following patterns in the following order A,B,C,
1 0 1 0 1 0 1 1 0
A= 0 1 0 B= 1 1 1 C= 1 0 0
0 0 0 1 0 1 1 1 1
Because of the ordering the machine categorizes the above in one single
presentation, each pattern being a distinct stable state. Spurious or
noisy patterns of the following type would then be rejected.
1 0 1 1 1 1
D= 1 1 1 E= 0 0 0
1 1 0 1 1 1
However patterns of the following type would supersede A,B,C.
0 0 0
F= 0 1 0 would replace A.
0 0 0
0 0 0
G= 0 0 1 would replace B.
0 0 0
0 0 0
H= 0 0 0 would replace C.
0 1 0
These "atomic" patterns presented in the above order would supersede since we
have in each case,
|I intersect V^j|=1,
and,
|I intersect V^j|
------------------- = 1 = P,
|I|
thus the new patterns are learned. Hence the system will learn all subset
patterns but no superset patterns, which means once we have encountered
the above atomic patterns the categorization is locked, no further
movement can take place. Obviously the exact atomic patterns will be
dependent on the learning history but non the less in any realistic
setting there will be a positive probability through noise that the above
type of pattern will be presented rendering the system useless (this is
true for slow learning as well, it just means it takes longer to happen).
One solution might be to ditch the 2\3 rule and connect the learning rate
to the vigilance parameter -- in the sense that movement to superset as
well as subset patterns would be possible but only by a distance that was
recoverable i.e if a noisy sub/superset pattern is encountered the system
bends but moves back on the next presentation of the correct pattern,
(obviously we exclude P=1), but then again this sort of set-up runs the
risk of bad data sets pulling the system all over the place. Perhaps
their real problem is that they treat all input as significant. I have
written to Grossberg about this but as yet have not received a reply.
Jason Kingdon.
------------------------------
Subject: Searle questions
From: koharchik@ngstl1.csc.ti.com (Looks like I picked the wrong time to go senile.)
Date: Fri, 09 Mar 90 16:39:39 -0600
Folks,
In Searle's Sci. Am. article there are some more fundamental loose
ends than i've see addressed so far. (If i'm covering old ground, let me
know -) ). Enough of these are missing that i wonder if the article is a
fair statement of his position.
My first question: Are Searle's requirements of awareness of knowledge
(understanding chinese) too limiting? It seems like the whole chinese
room argument is based on the idea that consciously understanding is
required for intelligence. However, to ask the person in the room "Do you
understand Chinese?" and have the intelligence of the system based on the
answer to that is interfacing at too low a level. It seems like judging
the information at this level can give you the wrong answer even if there
IS intelligence involved-- so that test is invalid.
Here's an analogy:
Let's say that a man has a split personality-- the dominant
personality speaks Chinese and the recessive one doesn't. (Split
personalities can hide information from each other-- in this case the
information hidden is a language.) Further, let's say that the dominant
personality is happy to be dormant until it finds chinese characters, in
which case it takes control from the recessive personality, responds to
the chinese, and then returns control to the recessive. Now, put this man
in the chinese room and compare him to the non-chinese speaker who has
memorized the book of symbols (as per Searle's argument). Both of them
speak Chinese (one by using the information memorized from the book, the
other by having the dominant personality take control and answer), but if
you asked them, neither one understands it (one because he doesn't
understand the contents of the book, the other because you're talking to
the recessive personality).
My second question: Is the phrase "simulated cognition" meaningful?
The examples of simulations that are given are all misleading in that all
are models being compared to the transformations of physical entities
into other physical entities (eg the digestion example). Well, if
cognition is a transformation from raw material to a "product" the
product must be information. If we take a look at transformations
involving information, the idea of simulated vs. real starts getting
fuzzy. For instance a chess program (simulated chess player) *does* play
chess, and the idea of "simulated addition" of two numbers is really
strange. This argument can also be taken too far. If a payroll program
calculating my taxes is intelligent, then that's a form of intelligence
that i'm not really interested in.
Question three: what do the anatomical specificity and causal
properties requirements mean? It seems like human brains show a variety
of structures within the group-- for example the brains of left-handed
people are organized differently from those of right-handed people, and
damaged brains can re-learn functions that were lost when the damage
occurred. So there is plasticity and variety with the the intelligent
group. I suspect that this variety is even greater when we move away
from the primitive parts of the brain (eg in Searle's analogy, hunger and
other sensory/ motor functions may be strongly tied to specific neurons,
but are higher cognitive functions?)
Here's another analogy:
Suppose that robotics has advanced to the point where we have
Turing-intelligent (competent) robots, and medicine has advanced to the
point that we can replace brain tissue with grafts and have the patient
regain full ability. Now, let's take a human and a robot who have both
had their "brains" damaged and the damaged parts replaced. Presumably the
human is still intelligent and the robot is still Turing-intelligent but
not Searle-intelligent. Now, let's say that one day they start replacing
damaged parts of human brains with hardware that has the same electrical
and chemical properties as the damaged tissue did, and damaged robotic
parts with brain tissue conditioned to have the same electrical/chemical
properties as the artificial part. Is the human still intelligent and the
robot still non-intelligent? Let's say that this incremental replacement
continues until the human has a completely robot brain and the robot a
completely organic brain. At what point did the human become
non-intelligent and the robot become intelligent? (This was the theme for
a sci fi story--does anyone know the title and author?)
Question four: Why is unambigous semantics of a system required for
it to be intelligent? Plays, paintings, poetry, and metaphors are all
products of intelligence, but humans often attach different meanings to
the symbols in these (so the semantics are ambiguous).
Corrections and clarifications appreciated.
George Koharchik
"These opinions are entirely my own, and can be yours for a price."
------------------------------
Subject: French student looking for a studentship
From: David GELDREICH <GELDREIC%FRECP12.BITNET@CUNYVM.CUNY.EDU>
Date: Sun, 11 Mar 90 01:06:55 -0400
[[ Editor's Note: Although I publish "position offered" submissions, I
generally avoid "positions wanted" or "I'm for sale" ads. However, since
I exercise an admittedly arbitrary editor's cursor, I'm letting this one
go by... Please let me know if anyone responds to this fellow or if you
think this forum should be used for similar notices. -PM ]]
Sir,
I am currently a second-year student at the Ecole Centrale Paris, one
of France's top ranking engineering schools. We are required by the
school to spend six weeks working in a non-french-speaking country, and I
was wondering whether your society would be able to offer me such an
opportunity.
This job would consist of a study in computer science. I would be very
interested in working as a system technician or as a programmer. I know
lots of computer langages but especially Turbo and Microsoft C.
This job would take place between july 2nd and end of August.
Sincerely yours,
David Geldreich
Ecole Centrale Paris
GELDREIC@FRECP12
------------------------------
Subject: MINDS & MACHINES: NEW JOURNAL--CALL FOR PAPERS
From: rapaport@adara.cs.Buffalo.EDU (William J. Rapaport)
Organization: State University of New York at Buffalo/Comp Sci
Date: 05 Mar 90 15:58:30 +0000
========================================================================
CALL FOR PAPERS---CALL FOR PAPERS---CALL FOR PAPERS---CALL FOR PAPERS
========================================================================
Kluwer Academic Publishers announces
MINDS AND MACHINES
Journal for Artificial Intelligence, Philosophy, and Cognitive Science
ISSN 0924-6495
(previously announced as `Philosophy and Artificial Intelligence')
EDITORIAL FOCUS:
Machines and Mentality
Knowledge and its Representation
Epistemic Aspects of Computer Programming
Connectionist Conceptions
Artificial Intelligence and Epistemology
Computer Methodology
Computational Approaches to Philosophical Issues
Philosophy of Computer Science
Simulation and Modeling
Ethical Aspects of Artificial Intelligence
EDITOR:
James H. Fetzer, University of Minnesota, Duluth, MN, USA
BOOK REVIEW EDITOR:
William J. Rapaport, SUNY Buffalo, Buffalo, NY, USA
EDITORIAL BOARD (as of March 1990)
Jon Barwise Stanford University, USA
Andy Clark University of Sussex, UK
Robert Cummins University of Arizona, USA
Fred Dretske University of Wisconsin at Madison, USA
Jerry Fodor Rutgers University, USA
Clark Glymour Carnegie-Mellon University, USA
Stevan Harnad Princeton University, USA
John Haugeland University of Pittsburgh, USA
Jaakko Hintikka Florida State University, USA
David Israel SRI International, USA
Philip Johnson-Laird Princeton University, USA
Frank Keil Cornell University, USA
Henry Kyburg University of Rochester, USA
John McCarthy Stanford University, USA
Donald Nute University of Georgia, USA
Zenon Pylyshyn University of Western Ontario, Canada
Barry Richards Imperial College, London, UK
Roger C. Schank Northwestern University, USA
John Searle University of California at Berkeley, USA
Stephen Stich Rutgers University, USA
Terry Winograd Stanford University, USA
MINDS AND MACHINES affords an international forum for discussion and
debate of important and controversial issues concerning significant
developments within its areas of editorial focus. Well-reasoned
contributions from diverse theoretical perspectives are welcome, and
every effort will be made to insure their prompt publication. Among the
features that are intended to make this journal distinctive within the
field are these:
o Strong stands on controversial issues are specifically encouraged;
o Important articles exceeding normal journal length may appear;
o Special issues devoted to specific topics will be a regular feature;
o Review essays discussing current problem situations will appear;
o Critical responses to previously published pieces are also invited.
This journal is intended to foster a tradition of criticism within the
AI and philosophical communities on problems and issues of common
concern. Its scope explicitly encompasses philosophical aspects of
computer science. All submissions will be subject to review.
Publication will begin with a single volume of four issues per year.
The first issue will appear in January 1991.
Contributors should send 4 copies of their manuscript to:
James H. Fetzer, Editor
MINDS AND MACHINES
Department of Philosophy
University of Minnesota
Duluth, MN 55812
USA
phil@ub.d.umn.edu
AI_and_PHIL@ub.d.umn.edu
Correspondence concerning books for review should be sent to:
William J. Rapaport, Book Review Editor
MINDS AND MACHINES
Center for Cognitive Science
Department of Computer Science
SUNY Buffalo
Buffalo, NY 14260
USA
rapaport@cs.buffalo.edu
rapaport@sunybcs.bitnet
Subscription information and sample copies will be available from:
Kluwer Academic Publishers Group
P.O. Box 322
3300 AH Dordrecht
The Netherlands
or
Kluwer Academic Publishers
101 Philip Drive
Norwell, MA 02061
USA
========================================================================
CALL FOR PAPERS---CALL FOR PAPERS---CALL FOR PAPERS---CALL FOR PAPERS
========================================================================
------------------------------
Subject: Australian Neural Network Society
From: marwan@extro.ucc.su.oz.au (Marwan Jabri)
Organization: University Computing Service, Uni. of Sydney, Australia.
Date: 05 Mar 90 16:11:59 +0000
A U S T R A L I A N N E U R A L
N E T W O R K S O C I E T Y
( A N N S )
The Australian Neural Network Society is a multidisciplinary society that
regoups computer scientists, engineers, mathematicians, neuroscientists,
phsycologists, and physicists working on various aspects of neural
networks, natural and synthetic and their applications.
ANNS aims at providing a forum for neural network research in Australia,
keeping researchers in touch with latest development, providing
facilities such as directory of activities, databases, research tools,
workshops and conferences.
ANNS will be organising The Second Australian Conference on Neural
Networks (ACNN'91), and its members will receive concessional rates.
The provisional management committee of the society is as follows:
Honorary President Professor Graham Rigby, UNSW
Honorary Board Professor Max Bennett, Sydney
Professor Bob Bogner, Adelaide
Professor Trevor Cole, Sydney
Professor Max Coltheart, Macquarie
Professor Bill Levick, ANU
Professor Steve Schwartz, Queensland
Executive Secretary Dr Marwan Jabri, Sydney
Executive Committee Professor Yanni Attikiouzel, WA
Professor Max Bennett, Sydney
Professor Bob Bogner, Adelaide
Professor Richard Brent, ANU
Dr Marwan Jabri, Sydney
Professor Steve Redman, ANU
Dr Ah Chung Tsoi, ADFA
Dr Charles Watson, DSTO
Dr Janet Wiles, Queensland
Dr Hong Yan, Sydney
We are planning to hold the first general meeting and elections at
ACNN'91 to be held in Sydney, on Feb 4-6, 1991.
Membership Fees:
- ----------------
The membership fees are A$10 for full-time students and A$20 for others.
Information about Corporate and Institution memberships
may be obtained by writing to the address below.
- ---------------------------------------------------------------------------
Australian Neural Network Society
Membership Form
|_| I wish to join ANNS
|_| I wish to be on your mailing list
My research interests are:
|_| Neuroscience |_| Modelling |_| Theory |_| Implementation
|_| Other: ______________________________________________________________
Surname: _______________________________ First Name: ________________________
Title: ______________________ Occupation: ___________________________________
Department: _________________________________________________________________
Organisation: _______________________________________________________________
Address: ____________________________________________________________________
_____________________________________________________________________________
City:_________________________ State: _________________________
Post Code:_________________________ Country: _________________________
Tel:_________________________ Fax:_________________________
Email: __________________________________________________
|_| Find enclosed a cheque for the sum of (1):
|_| Charge my credit card for the sum of (1):
Mastercard/Visa (2) Number: ______________________________________________
Valid until: ___________________
Date: ___________________ Signature: ________________________
Please return the form to:
Ms Justine Doherty
Secretariat ANNS
C/O Electrical Engineering Foundation
School Electrical Engineering
The University of Sydney
NSW 2006, Australia
Further information may be obtained by writing to the address above or
by:
Tel: (+61-2) 692 3659
Fax: (+61-2) 692 3847
Email: anns@ee.su.oz.au
- ---------------------------------------------------------------------------
(1) Make payment to ``ANNS''. A$10 for full-time students and A$20 for others.
Information about Corporate and Institutions membership
may be obtained by writing to the address above.
(2) Please encircle the card type.
Marwan Jabri E-mail: marwan@ee.su.oz
Systems Engineering and Design Automation Laboratory Fax: (+61-2) 692 3847
Sydney University Electrical Engineering
NSW 2006 Australia
------------------------------
Subject: NNSS update
From: gaudiano@retina.bu.edu (Paolo Gaudiano)
Organization: Boston University Center for Adaptive Systems
Date: 09 Mar 90 21:28:00 +0000
NEURAL NETWORKS STUDENT SOCIETY UPDATE and CALL FOR HELP
NOTE: in the near future there may be a special newsgroup for student
notes like this one so we don't have to clutter up the mailing lists.
For now apologies to those subscribers that do not wish to get this.
Thanks to all those that responded to the Society Announcement. The
response has been overwhelming (almost 300 so far). We have not been
acknowledging individual requests because of the volume, but we will mail
out our newsletter at the end of the month. At that point we will send
notes to make sure everyone's address (email or snailmail) is correct.
CALL FOR SUBMISSIONS:
If you are in a recognized academic program for Neural Networks and want
other students to know about it, please send us a short description IN
YOUR OWN WORDS of the program, including an address for people who want
more details. Include things like faculty members, courses, and your
opinions (if you want). Send the submission by email to
"nnss-request@thalamus.bu.edu" by MARCH 21 for inclusion in our
newsletter. We will let you know if there are problems or comments.
CALL FOR HELP: In order to handle international memberships, we decided
it is best to designate "ambassadors" for each country or geographical
area. This is primarily to save people the trouble of having to get $5
exchanged from their own currencies, but ambassadors should also be
willing to devote some time for possible future Society-related tasks. If
you live outside of the US and are willing to devote some of your time to
this endeavour, drop us a note (email nnss-request@thalamus.bu.edu).
Paolo Gaudiano Karen Haines
gaudiano@thalamus.bu.edu khaines@galileo.ece.cmu.edu
------------------------------
Subject: Expert systems and systematic biology workshop
From: "Michael G. Walker" <walker@sumex-aim.stanford.edu>
Date: Fri, 09 Mar 90 18:34:38 -0800
Workshop Announcement: Artificial Intelligence and Modern Computer
Methods in Systematic Biology (ARTISYST Workshop)
The Systematic Biology Program of the National Science Foundation, is
sponsoring a Workshop on Artificial Intelligence, Expert Systems, and
Modern Computer Methods in Systematic Biology, to be held September 9 to
14, 1990, at the University of California, Davis. There will be about 45
participants representing an even mixture of biologists and computer
scientists.
Attendance at the workshop is by invitation only. All expenses for
participants (travel, hotel, food) will be paid.
These are the subject areas for the workshop:
1. Scientific workstations for systematics;
2. Expert systems, expert workstations and other tools for
identification;
3. Phylogenetic inference and mapping characters onto tree
topologies;
4. Literature data extraction and geographical data;
5. Machine vision and feature extraction applied to systematics.
The workshop will examine state-of-the-art computing methods and
particularly Artificial Intelligence methods and the possibilities they
offer for applications in systematics. Methods for knowledge
representation as they apply to systematics will be a central focus of
the workshop. This meeting will provide systematists the opportunity to
make productive contacts with computer scientists interested in these
applications. It will consist of tutorials, lectures on problems and
approaches in each area, working groups and discussion periods, and
demonstrations of relevant software.
Participants will present their previous or proposed research in a
lecture, in a poster session, or in a software demonstration session.
If you are interested in participating, complete the application form
below. Preference will be given to applicants who are most likely to
continue active research and teaching in this area. The Workshop
organizers welcome applications from all qualified biologists and
computer scientists, and strongly encourage women, minorities, and
persons with disabilities to apply.
APPLICATIONS RECEIVED AFTER APRIL 15, 1990 WILL NOT BE ACCEPTED
-----------------
Application form
Name:
Address:
E-mail address:
In your application, please include 1) a short resume, 2) a description
of your previous work related to the workshop topic, 3) a description of
your planned research and how it relates to the workshop, and 4) whether
you, as biologists (or computer scientists) have taken or would like to
take steps to establish permanent collaboration with computer scientists
(or biologists). A total of two pages or less is preferred. This
material will be the primary basis for selecting workshop participants.
If you have software that you would like to demonstrate at the workshop,
please give a brief description, and indicate the hardware that you need
to run the program. Several PC's and workstations will be available at
the workshop.
Mail your completed application to:
Renaud Fortuner, ARTISYST Workshop Chairman,
California Department of Food and Agriculture
Analysis & Identification, room 340
P.O. Box 942871
Sacramento, CA 94271-0001
USA
(916) 445-4521
E-mail: rfortuner@ucdavis.edu
For further information, contact Renaud Fortuner, Michael Walker, Program
Chairman, (Walker@sumex-aim.stanford.edu), or a member of the steering
committee:
Jim Diederich, U.C. Davis (dieder@ernie.berkeley.edu)
Jack Milton, U.C. Davis (milton@eclipse.stanford.edu)
Peter Cheeseman, NASA AMES (cheeseman@pluto.arc.nasa.gov)
Eric Horvitz, Stanford University (horvitz@sumex-aim.stanford.edu)
Julian Humphries, Cornell University (lqyy@crnlvax5.bitnet)
George Lauder, U.C Irvine (glauder@UCIvmsa.bitnet)
James Rohlf, SUNY (rohlf@sbbiovm.bitnet)
James Woolley, Texas A&M University (woolley@tamento.bitnet)
------------------------------
Subject: Call for papers: 7th Israel Conf. AI & CV
From: Yishai Feldman <yishai%wisdom.weizmann.ac.il@cunyvm.cuny.edu>
Date: Mon, 12 Mar 90 15:50:44 -0200
*** PLEASE POST *** *** PLEASE POST ***
Call For Papers
7th Israeli Conference on Artificial Intelligence and Computer Vision
Tel-Aviv, December 26-27, 1990
The conference is the joint annual meeting of the Israeli Association
for Artificial Intelligence, and the Israeli Association for Computer
Vision and Pattern Recognition, which are affiliates of the Israeli
Information Processing Association.
Papers addressing all aspects of AI and Computer Vision, including, but
not limited to, the following topics, are solicited:
* Image Processing and Pattern Recognition
* Image Analysis and Computer Vision
* Visual Perception
* Applications
* Robotics
* Inductive inference
* Knowledge acquisition
* AI and education
* AI languages
* Automated reasoning
* Cognitive modeling
* Expert systems
* Natural language processing
* Planning and search
* Knowledge theory
* Logics of knowledge
Submitted papers will be refereed by the program committee, listed
below. Authors should submit 4 copies of a full paper or an extended
abstract. Accepted papers will appear in the conference proceedings.
Papers should be received by the conference co-chairmen at the
following addresses by June 1st, 1990. Authors will be notified of
accepted papers by September 1st, 1990.
Vision: AI:
Prof. Alfred Bruckstein Dr. Yishai Feldman
7th IAICV 7th IAICV
Dept. of Computer Science Dept. of Applied Mathematics
Technion The Weizmann Institute of Science
32000 Haifa, Israel 76100 Rehovot, Israel
Freddy@cs.technion.ac.il Yishai@wisdom.weizmann.ac.il
Program Committee:
AI:
Mira Balaban Ben Gurion University
Moshe Ben Bassat Tel Aviv University
Rina Dechter Techion
Ehud Gudes Ben Gurion University
Tamar Flash The Weizmann Institute
Daniel Lehmann Hebrew University
Marc Luria Technion
Yoram Moses The Weizmann Institute
Uzzi Ornan Technion
Jeff Rosenschein Hebrew University
Uri Schild Bar Ilan University
Ehud Shapiro The Weizmann Institute
Vision:
Zvi Meiri IBM
Amnon Meizles Ben Gurion University
Shmuel Peleg Hebrew University
Moshe Porat Technion
Micha Sharir Tel Aviv University
Shimon Ullman The Weizmann Institute
Michael Werman Hebrew University
Haim Wolfson Tel Aviv University
Yehezkel Yeshurun Tel Aviv University
------------------------------
Subject: IJCNN-90 San Diego
From: "Nina A. Kowalski" <nina@alpha.ece.jhu.edu>
Date: Mon, 12 Mar 90 18:56:54 -0500
***************************************************************************
IJCNN 1990 - REQUEST FOR VOLUNTEERS
***************************************************************************
This is the first call for volunteers to help at the International Joint
Committee on Neural Networks (IJCNN) conference, to be held at the San
Diego Marriot Hotel in San Diego, CA, June 17-21,1990.
Full admittance to the conference and a copy of the proceedings is
offered in exchange for your assistance throughout the conference. I
would like to point out that STUDENT REGISTRATION DOES NOT INCLUDE
PROCEEDINGS OR ADMITTANCE INTO WEDNESDAY NIGHT'S PARTY.
In general, each volunteer is expected to work one shift each day of
the conference. Hours are approximately:
AM shift - 7:00 am - Noon
PM shift - Noon - 5:00 pm
Available shifts are:
Technical Session Ushers
Poster Sessions
Hospitality/Press Room
Registration Material Assistance
You will be basically working the same shift each day of the conference.
In addition to working one of the above shifts throughout the conference,
assistance may be required for the social events.
Those interested in signing up, please send me the following information:
Name
Address
phone number
email
Upon signing up, you be sent a form with a more detailed description of
the positions, and a request for shift preference and tutorials. Sign
ups will be based on the date of commitment.
Tutorials:
---------
In addition to volunteering for the conference, we will need help the day
of the tutorials. The day of the tutorials is Sunday, June 17. Although
conference volunteers are not required to work the tutorials, tutorial
volunteers are required to work the conference.
To sign up please contact:
Nina Kowalski - Volunteer Chariman
209 W. 29th St. FLR 2
Baltimore, MD 21211
message: (301) 889-0587
email: nina@alpha.ece.jhu.edu
If you have further questions, please feel free to contact me.
Thank you,
Nina Kowalski
IJCNN Volunteer Chairman
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End of Neuron Digest [Volume 6 Issue 20]
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