nl-kr-request@CS.ROCHESTER.EDU (NL-KR Moderator Brad Miller) (09/01/88)
NL-KR Digest (8/31/88 19:13:06) Volume 5 Number 13
Today's Topics:
Re: Chinese-English Machine Translation
WANTED: speech data
Pinker & Prince on Rules & Learning
Localized Event-based Planning For Multiagent Domains - Amy
Lansky
proceedings of the 11th ACM-SIGIR Conference
Knowledge Representation and Reasoning 89 - call for papers
SGAICO Connectionism Conference: revised program
Call for papers: SCAI'89
Submissions: NL-KR@CS.ROCHESTER.EDU
Requests, policy: NL-KR-REQUEST@CS.ROCHESTER.EDU
----------------------------------------------------------------------
Date: Mon, 22 Aug 88 16:47 EDT
From: HEARNE@wwu.edu
Subject: Re: Chinese-English Machine Translation
One of my graduate students intends to write a thesis on
Chinese natural language processing, possibly Chinese-English
Machine Translation. A superficial glance at the computational
linguistics world reveals very little contemporary activity and
we would be grateful for helpful information from those involved
in Chinese computational linguistics or know of current
projects.
We are especially interested in:
1) existing corpora and machine-readable dictionaries
2) applications of the categorial grammar to Chinese
I will collect all replies and broadcast them to interested
parties.
Thank you.
Jim Hearne,
Computer Science Department,
Western Washington University,
Bellingham, Washington 98225
------------------------------
Date: Tue, 30 Aug 88 11:27 EDT
From: Jagath SamaraBandu <bandu@cs.Buffalo.EDU>
Subject: WANTED: speech data
Could somebody please mail me some speech data which I need for testing
purposes? It will be really helpful if the text (spoken) is also included.
Thanks in advance
Jagath samarabandu
email - bandu@cs.buffalo.edu v092r8c2@ubvms.bitnet
-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-
Jagath K. Samarabandu (716)-835-4639 | bandu@cs.buffalo.edu
518, Lasalle Ave.,Buffalo,NY14215 | v092r8c2@ubvms.bitnet
-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-
------------------------------
Date: Wed, 24 Aug 88 14:17 EDT
From: Stevan Harnad <harnad@mind.UUCP>
Subject: Pinker & Prince on Rules & Learning
On Pinker & Prince on Rules & Learning
Steve: Having read your Cognition paper and twice seen your talk
(latest at cogsci-88), I thought I'd point out what look like some
problems with the argument (as I understand it). In reading my comments,
please bear in mind that I am NOT a connectionist; I am on record as a
sceptic about connectionism's current accomplishments (and how they are
being interpreted and extrapolated) and as an agnostic about its future
possibilities. (Because I think this issue is of interest to the
connectionist/AI community as a whole, I am branching a copy of this
challenge to connectionists and comp.ai.)
(1) An argument that pattern-associaters (henceforth "nets") cannot do
something in principle cannot be based on the fact that a particular
net (Rumelhart & McClelland 86/87) has not done it in practice.
(2) If the argument is that nets cannot learn past tense forms (from
ecologically valid samples) in principle, then it's the "in principle"
part that seems to be missing. For it certainly seems incorrect that past
tense formation is not learnable in principle. I know of no
poverty-of-the-stimulus argument for past tense formation. On the
contrary, the regularities you describe -- both in the irregulars and
the regulars -- are PRECISELY the kinds of invariances you would
expect a statistical pattern learner that was sensitive to higher
order correlations to be able to learn successfully. In particular, the
form-independent default option for the regulars should be readily
inducible from a representative sample. (This is without even
mentioning that surely no one imagines that past-tense formation is an
independent cognitive module; it is probably learned jointly with
other morphological regularities and irregularities, and there may
well be degrees-of-freedom-reducing cross-talk.)
(3) If the argument is only that nets cannot learn past tense forms without
rules, then the matter is somewhat vaguer and more equivocal, for
there are still ambiguities about what it is to be or represent a "rule."
At the least, there is the issue of "explicit" vs. "implicit"
representation of a rule, and the related Wittgensteinian distinction
between "knowing" a rule and merely being describable as behaving in
accordance with a rule. These are not crisp issues, and hence not a
solid basis for a principled critique. For example, it may well be
that what nets learn in order to form past tenses correctly is
describable as a rule, but not explicitly represented as one (as it
would be in a symbolic program); the rule may simple operate as a causal
I/O constraint. Ultimately, even conditional branching in a symbolic
program is implemented as a causal constraint; "if/then" is really
just an interpretation we can make of the software. The possibility of
making such systematic, decomposable semantic intrepretations is, of course,
precisely what distinguishes the symbolic approach from the
connectionistic one (as Fodor/Pylyshyn argue). But at the level of a few
individual "rules," it is not clear that the higher-order interpretation AS
a formal rule, and all of its connotations, is justified. In any case, the
important distinction is that the net's "rules" are LEARNED from statistical
regularities in the data, rather than BUILT IN (as they are,
coincidentally, in both symbolic AI and poverty-of-the-stimulus-governed
linguistics). [The intermediate case of formally INFERRED rules does
not seem to be at issue here.]
So here are some questions:
(a) Do you believe that English past tense formation is NOT learnable
(except as "parameter settings" on an innate structure, from
impoverished data)? If so, what are the supporting arguments for that?
(b) If past tense formation IS learnable in the usual sense (i.e.,
by trial-and-error induction of regularities from the data sample), then do
you believe that it is specifically unlearnable by nets? If so, what
are the supporting arguments for that?
(c) If past tense formation IS learnable by nets, but only if the
invariance that the net learns and that comes to causally constrain its
successful performance is describable as a "rule," what's wrong with that?
Looking forward to your commentary on Lightfoot, where
poverty-of-the-stimulus IS the explicit issue, -- best wishes, Stevan Harnad
--
Stevan Harnad ARPANET: harnad@mind.princeton.edu harnad@princeton.edu
harnad@confidence.princeton.edu srh@flash.bellcore.com harnad@mind.uucp
BITNET: harnad%mind.princeton.edu@pucc.bitnet UUCP: princeton!mind!harnad
CSNET: harnad%mind.princeton.edu@relay.cs.net
------------------------------
Date: Tue, 23 Aug 88 12:33 EDT
From: CHIN%PLU@ames-io.ARPA
Subject: Localized Event-based Planning For Multiagent Domains - Amy
Lansky
***************************************************************************
National Aeronautics and Space Administration
Ames Research Center
SEMINAR ANNOUNCEMENT
SPEAKER: Amy L. Lansky
SRI International
TOPIC: LOCALIZED EVENT-BASED PLANNING FOR MULTIAGENT DOMAINS
ABSTRACT:
This talk will present the GEM concurrency model and GEMPLAN, a multiagent
planner based on this model. Unlike standard state-based AI representations,
GEM is unique in its explicit emphasis on events and domain structure --
world activitiy is modeled in terms of events occurring within a set of regions.
Event-based temporal logic constraints are then associated with each region
to delimit legal domain behavior. GEM's emphasis on constraints is directly
reflected in the architecture of the GEMPLAN planner -- it can be viewed
as a general purposed constraint satisfaction facility. Its task is to
construct a network of interrelated events that satisfies all applicable
regional constraints and also achieves some stated goal.
A key focus of our work has been on the use of --localized--techniques for
domain representation and reasoning. Such techniques partition domain
descriptions and reasoning tasks according to the regions of activity within
a domain. For example, GEM localizes the applicability of domin constraints
and also imposes additional "locality constraints" based on domain structure.
This use of locality helps alleviate several aspects of the frame problem
for multiagent domains. The GEMPLAN planner also reflects the use of locality;
its constraint satisfaction search space is subdivided into regional planning
search spaces. GEMPLAN can pinpoint and rectify interactions among these
regional search spaces, thereby reducing the burden of "interaction analysis"
ubiquitous to most planning systems.
DATE: Wednesday TIME: 2:00 pm - 3:30 pm BLDG. 244 Room 103
August 31, 1988 --------------
POINT OF CONTACT: Marlene Chin PHONE NUMBER: (415) 694-6527
NET ADDRESS: chin@pluto.arc.nasa.gov
***************************************************************************
VISITORS ARE WELCOME: Register and obtain vehicle pass at Ames Visitor
Reception Building (N-253) or the Security Station near Gate 18. Do not
use the Navy Main Gate.
Non-citizens (except Permanent Residents) must have prior approval from the
Director's Office one week in advance. Submit requests to the point of
contact indicated above. Non-citizens must register at the Visitor
Reception Building. Permanent Residents are required to show Alien
Registration Card at the time of registration.
***************************************************************************
------------------------------
Date: Wed, 31 Aug 88 01:43 EDT
From: Hector Levesque <hector@ai.toronto.edu>
Subject: Knowledge Representation and Reasoning 89 - call for papers
_ _ _
|/ |_| |_| |_|
|\ | \ |_| _|
The First International Conference on Principles of Knowledge Representation
and Reasoning will be held in Toronto, Canada on May 15-18 1989. KR'89 will
bring together researchers interested in the principles governing systems that
use general-purpose reasoning algorithms over explicit representations of
knowledge. Authors are requested to submit extended abstracts (not complete
papers) of at most 8 double-spaced pages (12 point), although substantially
longer full papers will appear in the conference proceedings to be published by
Morgan Kaufmann Publishers Inc. The important dates for KR'89 are:
Submission receipt deadline: November 1, 1988
Author notification date: December 15, 1988
Camera-ready copy due to publisher: February 15, 1989
Conference: May 15-18, 1989
A call for papers for KR'89 with full details on topics, submissions, and
review criteria can be found in the journal Artificial Intelligence (vol. 35,2,
June 1988, p. 281), the AI Magazine (vol. 9,1, Spring 1988, p. 137), the AISB
Newsletter (no. 64, p.27), the SIGART Newsletter (no. 104, April 1988, p. 47),
and the Canadian AI Newsletter (April 1988, p.36). Inquiries of a general
nature can be addressed to the Conference Chair, Ray Reiter, whose csnet
address is reiter@ai.toronto.edu.
Ron Brachman and Hector Levesque
KR'89 Program Chairs
[ See also news.announce.conferences on Usenet for a detailed CFP ]
------------------------------
Date: Wed, 24 Aug 88 06:11 EDT
From: Equipe Chiaramella <mcvax!imag.imag.fr!siri@uunet.UU.NET>
Subject: proceedings of the 11th ACM-SIGIR Conference
The proceedings of the 11th ACM-SIGIR (Information Retrieval) Conference,
which held in Grenoble (France), JUne 13-15 1988, are available.
You can order them at the following address :
PUG
BP 47X
38040 Grenoble Cedex
France
They cost 400FF (which does not include postage).
PROGRAM OF THE 88ACM - SIGIR Conference
11th INTERNATIONAL CONFERENCE ON RESEARCH AND DEVELOPMENT
IN INFORMATION RETRIEVAL
JUNE 13-15, 1988
GRENOBLE FRANCE
PROGRAM COMMITTEE
M. Adiba(F) A. Bookstein(USA) C. Bouche(F)
M.F. Bruandet(F) E. Chouraqui(F) W.B. Croft(USA)
T.E Doszkocs(USA) A.S. Fraenkel(ISRAEL) N. Fuhr(RFA)
G. Knorz(RFA) S. Miranda(F) C.D. Paice(UK)
V. Quint(F) F. Rabitti(I) V.V Raghavan(USA)
K.V.Rijsbergen(UK) G. Salton(USA) P. Willet(UK)
S.K.M. Wong(CANADA)
Guest Conference by K. Sparck Jones
NATURAL LANGUAGE PROCESSING (1)
Chairman : C.D. Paice
A.F. Smeaton (Nat. Inst. for Higher Education Glasnevin)
Experiments on Incorporating Syntactic Processing of User Queries into a
Document Retrieval Strategy
S. Bonzi, E. Liddy (Syracuse University)
The Use of Anaphoric Resolution for Document Description in Information
Retrieval
NATURAL LANGUAGE PROCESSING (2)
Chairman: Y. Chiaramella
G. Antoniadis, G. Lallich-Boidin, Y. Polity,
J. Rouault (CRISS - Grenoble)
French Text Recognition Model for Information Retrieval System
P. S. Jacobs, L.F. Rau (GE RDC Schenectady)
Natural Language Techniques for Intelligent Information Retrieval
NATURAL LANGUAGE PROCESSING (3)
Chairman: Y. Chiaramella
J. Veronis (CNRS GRTC Marseille)
Correction of Phonographic Errors in Natural Language Interfaces
B. Revzner (Inst. Povisheniya Kvalificatsii, Moscow)
Precedental Data Bases: How and Why they are Worked out and Used
COGNITIVE MODELS
Chairman: J. Tague
D.O. Case (University of California)
How do the Experts do it ? The Use of Ethnographic Methods as an Aid to
understanding the Cognitive Processing and Retrieval of Large Bodies of Text
N.J. Belkin (Rutgers University)
On the Nature and Function of Explanation in Intelligent Information Retrieval
PARALLEL DISTRIBUTED PROCESSING
Chairman: P. Willett
G. Salton, C. Buckley (Cornell University)
Using Spreading Activation Methods in Automatic Information Retrieval
R.J. Brachman, D.L. McGuinness (AT&T Bell Laboratories)
Knowledge Representation, Connectionism, and Conceptual Retrieval
APPLICATIONS (1)
Chairman: W.B. Croft
J. Seo (University of Texas at Austin)
BABEL : A Base for an Experimental Library
L.P. Jones, C. deBessonet, S. Kundu (Louisiana State University)
ALLOY : An Amalgamation of Expert, Linguistic and Statistical Indexing Methods
QUANTITATIVE MODELS (1)
Chairman: G. Salton
C.T. Yu, H. Mizuno (Univ. of Illinois at Chicago)
Two Learning Schemes in Information Retrieval
S.K.M. Wong, Y.Y. Yao (Univ. of Regina), P. Bollmann
Linear Structure in Information Retrieval
F. Hirabayashi, H. Matoba, Y. Kasahara (NEC Corporation)
Information Retrieval Using Impression of Documents as a Clue
QUANTITATIVE MODELS (2)
Chairman: S. K. M. Wong
P. Bollmann (Technische Univ. Berlin), V.V. Raghavan
A Utility-Theoretic Analysis of Expected Search Length
N. Fuhr, H. Huther (T.H. Darmstadt)
Optimum Probability Estimation based on Expectations
THESAURAL MODELS
Chairman: N. Fuhr
H.P. Giger (Swiss Federal Institute of Technology - Zurich)
Concept Based Retrieval in Classical IR Systems
E. A. Fox, G. L. Nunn, W. C. Lee (Virginia Polyt. Institute)
Coefficients for Combining Concept Classes in a Collection
C. J. Crouch (Tulane University, New Orleans)
A Cluster-Based Approach to Thesaurus Construction
APPLICATIONS (2)
Chairman: A. Bookstein
D. Harman (Lister Hill Cent. for Biomedical Comm.)
Towards Interactive Query Expansion
P. Biebricher, N. Fuhr, G. Lustig, M. Schwantner
(Technische Hochschule, Darmstadt)
The Automatic Indexing System AIR/PHYS - From Research to Application
INTERFACES (1)
Chairman: T. E. Doszkocs
A. J. Kok, A. M. Botman (Vrije Univ. Amsterdam)
Retrieval Based on User Behaviour
P. Simpson (Princeton Univ.)
Query Processing in a Heterogeneous Retrieval Network
J. Tague, R. Schultz (Univ. of Western Ontario)
Some Measures and Procedures for Evaluation of the User Interface in an
Information Retrieval System
INTERFACES (2)
Chairman: G. Knorz
G. Brajnik, G. Guida, C. Tasso (Univ. di Udine)
IR-NLI II: Applying Man-Machine Interaction and AI Concepts to Information Retrieval
F. N. Teskey (Brighton Polytechnic)
Intelligent Support for Interface Systems
DATA BASES
Chairman: M. Adiba
R. Gonzalez-Rubio, M. Couprie (Centre de Recherche Bull)
A Parallel Multiprocessor Machine Dedicated to Relationnal and Deductive Data
Bases
P. Bosc, M. Galibourg (IRISA)
Flexible Selection among Objects : A Framework Based On Fuzzy Sets
C. Damier, B. Defude (MATRA)
The Document Management Component of a Multimedia Data Model
ARTIFICIAL INTELLIGENCE (1)
Chairman: E. Chouraqui
G. W. Furnas (Bellcore), S. Deerwester, S. Dumais,
T. Landauer, R. Harshman
Information Retrieval Using a Singular Value Decomposition Model of Latent
Semantic Structure
W.B. Croft, T.J. Lucia, P.R. Cohen (Univ. of Massachusetts)
Retrieving Documents by Plausible Inference: A Preliminary Study
LOGICAL MODELS
Chairman: K. Van Rijsbergen
J. Nie (LGI-IMAG, Grenoble)
An outline of a general model for Information Retrieval Systems.
S. Laine, O. Larouk, I. Vidalenc ( SYDOL, Univ. Lyon I et II)
Textual Information Systems: the contribution of extentional and intentional
logics.
P. Schauble (Zurich Federal Institute of Technology)
An Information Structure dealing with Term Dependence and Polysemy
ARTIFICIAL INTELLIGENCE (2)
Chairman: G. Knorz
C. Barthes, P. Glize (Univ. Paul Sabatier, Toulouse)
Planning in an Expert System for Automated Information Retrieval
G.P. Zarri (CNRS Paris)
Conceptual Representation for Knowledge Bases and "Intelligent" Information
Retrieval Systems
SET ORIENTED MODELS
Chairman: V.V. Raghavan
P. Das-Gupta (George Mason University)
Rough Sets and Information Retrieval
A. Bookstein (University of Chicago)
Set Oriented Retrieval
IMPLEMENTATION TECHNIQUES
Chairman: F. Rabitti
Y. Choueka (Univ. Bar-Ilan, Isral), A.S. Fraenkel,S.T. Klein
Compression of Concordances in Full-Text Retrieval Systems
Y.H. Ng , S.P.V. Barros (Univ. of London)
Active Memory for Text Information Retrieval
C. Jimenez Guarin (LGI-IMAG, Grenoble)
Access by Content of Documents in an Office Information System
APPLICATIONS (3)
Chairman: A.S. Fraenkel
R.H. Ledwith (Colombus, Ohio)
Development of a Large, Concept-Oriented Database for Information Retrieval
E. Wilson (Univ. of Kent at Canterbury)
Integrated Information Retrieval for Law in a Hypertext Environment
------------------------------
Date: Mon, 29 Aug 88 09:00 EDT
From: Rolf Pfeifer <pfeifer%ifi.unizh.ch@RELAY.CS.NET>
Subject: SGAICO Connectionism Conference: revised program
*****************************************************************************
SGAICO Conference (REVISED PROGRAM)
*******************************************************************************
Program and Call for Presentation of Ongoing Work
C O N N E C T I O N I S M I N P E R S P E C T I V E
University of Zurich, Switzerland
10-13 October 1988
Tutorials: 10 October 1988
Technical Program: 11 - 12 October 1988
Workshops and
Poster/demonstration
session 13 October 1988
******************************************************************************
Organization: - University of Zurich, Dept. of Computer Science
- SGAICO (Swiss Group for Artificial Intelligence and
Cognitive Science)
- Gottlieb Duttweiler Institute (GDI)
About the conference
____________________
Introdution:
Connectionism has gained much attention in recent years as a paradigm for
building models of intelligent systems in which intresting behavioral
properties emerge from complex interactions of a large number of simple
"neuron-like" elements. Such work is highly relevant to fields such as
cognitive science, artificial intelligence, neurobiology, and computer
science and to all disciplines where complex dynamical processes and
principles of self-organization are studied. Connectionism models seem to be
suited for solving many problems which have proved difficult in the past
using traditional AI techniques. But to what extent do they really provide
solutions? One major theme of the conference is to evaluate the import of
connectionist models for the various disciplines. Another one is to see
in what ways connectionism, being a young discipline in its present form,
can benefit from the influx of concepts and research results from other
disciplines. The conference includes tutorials, workshops, a technical program
and panel discussions with some of the leading researchers in the field.
Tutorials:
The goal of the tutorials is to introduce connectionism to people who are
relatively new to the field. They will enable participants to follow the
technical program and the panel discussions.
Technical Program:
There are many points of view to the study of intelligent systems. The
conference will focus on the views from connectionism, artificial
intelligence and cognitive science, neuroscience, and complex dynamics.
Along another dimension there are several significant issues in the study
of intelligent systems, some of which are "Knowledge representation and
memory", "Perception, sequential processing, and action", "Learning", and
"Problem solving and reasoning". Researchers from connectionism, cognitive
science, artificial intelligence, etc. will take issue with the ways
connectionism is approaching these various problem areas. This idea is
reflected in the structure of the program.
Panel Discussions:
There will be panel discussion with experts in the field on specialized
topics which are of particular interest to the application of connectionism.
Workshops and Presentations of Ongoing Work:
The last day of the conference is devoted to wokrshops with the purpose of
identifying the major problems that currently exist within connectionism,
to define future research agendas and collaborations, to provide a
platform for the interdisciplinary exchange of information and experience,
and to find a framework for practical applications. The workshop day will
als feature presentation of ongoing work (see "Call for presentation of
ongoing work").
*******************************************************************************
* *
* CALL FOR PRESENTATION OF OINGOING WORK *
* *
* Presentations are invited on all areas of connectionist research. The focus *
* is on current research issues, i.e. "work in progress" is of highest *
* interest even if major problems remain to be resolved. Work of RESEARCH *
* GROUPS OR LABORATORIES is particularly welcome. Presentations can be in the *
* form of poster, or demonstration of prototypes. The goal is to encourage *
* cooperation and the exchange of ideas between different research groups. *
* Please submit an extended abstract (1-2 pages). *
* *
* Deadline for submissions: September 2, 1988 *
* Notification of acceptance: September 20, 1988 *
* *
* Contact: Zoltan Schreter, Computer Science Department, University of *
* Zurich, Switzerland, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland *
* Phone: (41) 1 257 43 07/11 *
* Fax: (41) 1 257 40 04 *
* or send mail to *
* pfeifer@ifi.unizh.ch *
* *
*******************************************************************************
Tutorials
MONDAY, October 10, 1988
___________________________________________________________________________
08.30 Tutorial 1: Introduction to neural nets.
F. Fogelman
- Adaptive systems: Perceptrons (Rosenblatt) and Adalines
(Widrow & Hoff)
- Associative memories: linear model (Kohonen),
Hopfield networks, Brain state in a
box model (BSB; Anderson)
- Link to other disciplines
09.30 Coffee
10.00 Tutorial 2: Self-organizing Topological maps.
T. Kohonen
- Theory
- Application: Speech-recognizing systems
- Tuning of maps for optimal recognition accuracy
(learning vector quantization)
11:30 Tutorial 3: Multi-layer neural networks.
Y. Le Cun
- Elementary learning mechanisms (LMS and Perceptron) and
their limitations
- Easy and hard learning
- Learning in multi-layer networks: The back-propagation
algorithm (and its variations)
- Multi-layer networks:
- as associative memories
- for pattern recognition (a case study)
- Network design techniques; simulators and software tools
13.00 Lunch
14.00 Tutorial 4: Parallel Distributed Processing of symbolic structure.
P. Smolensky
Can Connectionism deal with the kind of complex highly
structured information characteristic of most AI domains?
This tutorial presents recent research suggesting that
the answer is yes.
15.30 Coffee
16.00 Tutorial 5: Connectionist modeling and simulation in neuroscience and
psychology.
R. Granger
Biological networks are composed of neurons with a range of
biophysical and physiological properties that give rise to
complex learning and performance rules embedded in
anatomical architectures with complex connectivity.
Given this complexity it is of interest to identify which
of the characteristics of brain networks are central and
which are less salient with respect to behavioral function.
"Bottom-up" biological modeling attempts to identify the
crucial learning and performance rules and their
appropriate level of abstraction.
17.30 End of tutorial sessions
_______________________________________________________________________________
Technical Program
TUESDAY, October 11, 1988
___________________________________________________________________________
Introduction
09:00 Connectionism: Is it a new paradigm? M. Boden
09:45 Discussion
10:00 Coffee
1. Knowledge Representation & Memory. Chair: F. Fogelman
The perspective of:
10:30 - Connectionism P. Smolensky Dealing with structure in
Connectionism
11:15 - AI/ J. Feldman A critical review of approaches
Connectionism to knowledge representation and
memory in Connectionism
12:00 - Neuroscience/ C. v. der Malsburg
Connectionism A neural architecture for
the representation of
structured objects
12:45 Lunch
2. Perception, Sequential Processing & Action. Chair: T. Kohonen
The perspective of:
14:30 - Connectionism M. Kuperstein Adaptive sensory-motor
coordination using neural
networks
15:15 - Connectionism/ M. Imbert Neuroscience and Connectionism:
Neuroscience The case of orientation
coding.
16:00 Coffee
16:30 - AI/ J. Bridle Connectionist approaches to
Connectionism artificial perception:
A speech pattern processing
approach
17:15 - Neuroscience G. Reeke Synthetic neural modeling:
A new approach to Brain Theory
18:00 Intermission/snack
18.30 - 20.00 panel discussion/workshop on
Expert Systems and Connectionism. Chair: S. Ahuja
D. Bounds D. Reilly
Y. Le Cun R. Serra
___________________________________________________________________________
WEDNESDAY, October 12, 1988
___________________________________________________________________________
3. Learning. Chair: R. Serra
The perspective of:
9:00 - Connectionism Y. Le Cun Generalization and network
design strategies
9:45 - AI Y. Kodratoff Science of explanations versus
science of numbers
10:30 Coffee
11:00 - Complex Dynamics/
Genetic Algorithms
H. Muehlenbein Genetic algorithms and
parallel computers
11:45 - Neuroscience G. Lynch Behavioral effects of learning
rules for long-term
potentiation
12:30 Lunch
4. Problem Solving & Reasoning. Chair: R. Pfeifer
The perspective of:
14:00 - AI/ B. Huberman Dynamical perspectives on
Complex Dynamics problem solving and reasoning
14:45 - Complex Dynamics
L. Steels The Complex Dynamics of common
sense
15:30 Coffee
16:00 - Connectionism J. Hendler Problem solving and reasoning:
A Connectionist perspective
16:45 - AI P. Rosenbloom A cognitive-levels perspective
on the role of Connectionism
in symbolic goal-oriented
behavior
17:30 Intermission/snack
18:00 - 19:30 panel discussion/workshop on
Implementation Issues & Industrial Applications. Chair: P. Treleaven
B. Angeniol G. Lynch
G. Dreyfus C. Wellekens
__________________________________________________________________________
Workshops and presentation of ongoing work
THURSDAY, October 13, 1988
___________________________________________________________________________
9:00-16:00 Workshops in partially parallel sessions. There will be a separate
poster/demonstration session for the presentation of ongoing work. The
detailed program will be based on the submitted work and will be available at
the beginning of the conference.
The workshops:
1. Knowledge Representation & Memory
Chair: F. Fogelman
2. Perception, Sequential Processing & Action
Chair: F. Gardin
3. Learning
Chair: R. Serra
4. Problem Solving & Reasoning
Chair: R. Pfeifer
5. Evolutionary Modelling
Chair: L. Steels
6. Neuro-Informatics in Switzerland: Theoretical and technical neurosciences
Chair: K. Hepp
7. European Initiatives
Chair: N.N.
8. Other
16:10 Summing up: R. Pfeifer
16:30 End of the conference
___________________________________________________________________________
Program as of June 29, 1988, subject to minor changes
___________________________________________________________________________
THE SMALL PRINT
Organizers
Computer Science Department, University of Zurich
Swiss Group for Artificial Intelligence and Cognitive Science (SGAICO)
Gottlieb Duttweiler Institute (GDI)
Location
University of Zurich-Irchel
Winterthurerstrasse 190
CH-8057 Zurich, Switzerland
Administration
Gabi Vogl
Phone: (41) 1 257 43 21
Fax: (41) 1 257 40 04
Information
Rolf Pfeifer
Zoltan Schreter
Computer Science Department, University of Zurich
Winterthurerstrasse 190, CH-8057 Zurich
Phone: (41) 1 257 43 23 / 43 07
Fax: (41) 1 257 40 04
Sanjeev B. Ahuja, Rentenanstalt (Swiss Life)
General Guisan-Quai 40, CH-8022 Zurich
Phone: (41) 1 206 40 61 / 33 11
Thomas Bernold, Gottlieb Duttweiler Institute, CH-8803 Ruschlikon
Phone: (41) 1 461 37 16
Fax: (41) 1 461 37 39
Participation fees
Conference 11-13 October 1988:
Regular SFr. 350.--
ECCAI/SGAICO/
SI/SVI-members SFr. 250.--
Full time students SFr. 100.--
Tutorials 10 October 1988:
Regular SFr. 200.--
ECCAI/SGAICO/
SI/SVI-members SFr. 120.--
Full time students SFr. 50.--
For graduate students / assistants a limited number of reduced
fees are available.
Documentation and refreshments are included.
Please remit the fee only upon receipt of invoice by the
Computer Science Department.
Language
The language of the conference is English.
Cancellations
If a registration is cancelled, there will be a cancellation charge of
SFr. 50.-- after 1st October 1988, unless you name a replacement.
Hotel booking
Hotel booking will be handled separately.
Please indicate on your registration form
whether you would like information on hotel
reservations.
Proceedings
Proceedings of the conference will be published in book form.
They will become available in early 1989.
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Date: Tue, 30 Aug 88 06:07 EDT
From: Kari Syst{ <ks@tut.fi>
Subject: Call for papers: SCAI'89
SCAI'89
THE SECOND SCANDINAVIAN CONFERENCE ON ARTIFICIAL INTELLIGENCE 1989
June 13-15, 1989
Tampere, Finland
1st Announcement and Call for Papers
The Conference is organized by the Finnish, Danish, Norwegian and Swedish
artificial Intelligence Societies and Tampere University of Technology.
On behalf of these, the Organization Committee has the pleasure to cordially
invite everyone interested in AI and related topics to participate in SCAI'89.
TECHNICAL PROGRAM
The program of the Conference will contain invited and contributed papers in
plenary and parallel sessions, workshops and an exhibition.
CONTRIBUTIONS INVITED
Contributed papers in the following fields of AI are welcome:
1. Logic and AI theory
2. Knowledge representation and inference methods
3. Knowledge based systems
4. Natural Language and speech
5. AI-tools and environments
Prospective authors of papers are invited to return the attached form together
with an extended abstract of their proposed paper. Abstracts of the papers
should be submitted to the SCAI'89 Secretariat, and are due by October 31,
1988.
ABSTRACTS
The abstracts should be informative rather than descriptive and the text
should not exceed three pages.
MANUSCRIPTS
Acceptance of papers will be notified to the authors by December 31, 1988,
together with full requirements and typing instructions for the manuscripts.
Final manuscripts will have to be submitted for publication not later than
March 31, 1989.
PROCEEDINGS
The written papers will be published in the SCAI'89 Proceedings which will
be distributed to the participants at registration.
WORKSHOPS
It has been planned that a workshop titled "Medical Expert Systems" will be
arranged in connection with the Conference. Proposals for other workshop
topics are kindly requested to be sent the SCAI'89 Secretariat before October
31, 1988.
EXHIBITION
An exhibition of AI-tools and literature will be held during the Conference.
All enquires should be directed to the SCAI'89 Secreteriat.
SCAI'89 SECRETERIAT
All correspondence should be directed to:
scai89@tut.fi
or:
SCAI'89
Tampere University of Technology
Ms Raili Siekkinen
P.O.BOX 527
SF-33101 Tampere
Finland
Phone Int +358 31 162441
Telex 22313
Telefax +358 31 162907
DEADLINES
Abstracts of papers submitted: October 31, 1988
Acceptance of papers notified: December 31, 1988
2nd Announcement available: January 31, 1989
Manuscripts of papers submitted: March 31, 1989
Registration with reduced fee: March 31, 1989
Hotel reservation: March 31, 1989
Please fill the following questionnaire in and send it to
SCAI'89 Secreteriat before October 31, 1988. You may send it
either by electronic or ordinary mail.
==================================================================
PRELIMINARY PARTICIPATION QUESTIONNAIRE
(please fill in)
I wish to receive the 2nd announcement
(If more than one copy, quantity indicated) ( )
I plan to participate in SCAI'89 ( )
I plan to present a paper at the Conference ( )
(title and abstract enclosed)
My paper concerns the topic:
1. Logic and AI theory ( )
2. Knowledge representation and inference methods ( )
3. Knowledge based systems ( )
4. Natural Language and speech ( )
5. AI-tools and environments ( )
I will attend the workshop on Medical Expert Systems ( )
I like to propose a workshop
" "
to be arranged as a part of the Conference (Detailed
proposal enclosed)
My organization is interested in taking part in the
exhibition, please contact me ( )
name
------------------------------------------------------
company/institution
--------------------------------------
---------------------------------------------------------
address
--------------------------------------------------
---------------------------------------------------------
phone
----------------------------------------------------
telefax
--------------------------------------------------
electronic mail
------------------------------------------
--
Kari Systa ks@tut.fi (ks@tut.UUCP, ..!mcvax!tut!ks, ks@fintut.bitnet)
Tampere Univ. Technology/Computer Systems Laboratory Phone
Po. Box. 527, SF-33101 Tampere work: +358 31 162585
Finland home: +358 31 177412
------------------------------
End of NL-KR Digest
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