nl-kr-request@CS.RPI.EDU (NL-KR Moderator Chris Welty) (06/05/91)
IJCAI Digest (Tue Jun 4 14:50:49 1991) Volume 8 No. 31
Today's Topics:
IJCAI-91 Workshop Program
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Subject: IJCAI-91 Workshop Program
Date: Wed, 22 May 91 14:46:02 EDT
>From: Joseph L. Katz. <katz@mbunix.mitre.org>
IJCAI-91 Workshop Program
The IJCAI-91 Program Committee invites participation in the IJCAI-91
Workshop Program. Workshop participants will have an opportunity to
meet and discuss selected technical topics in an atmosphere which
fosters the active exchange of ideas among researchers and
practitioners. Attendance at the workshops is limited and
participation is by invitation only. For further information
concerning these workshops, intending participants must write
DIRECTLY to the workshop contacts given below as soon as possible
since the closing date for submissions for all workshops is 15 June,
1991. The fee for each workshop is AUD$85.00
W-1 PARALLEL PROCESSING FOR ARTIFICIAL INTELLIGENCE
The intent of this workshop is to bring together hardware architects,
AI researchers and application engineers who are engaged in or
interested in parallel artificial intelligence. Through key
presentations and ample discussions, it is hoped that the workshop
will facilitate the exchange of ideas among researchers, as well as
to bridge the gap between hardware architects and AI researchers,.
The granularity of parallelism discussed at the workshop will range
from coarse-grain to fine-grain parallel processing.
For further information on participating in this workshop contact:
Laveen N. Kanal
Department of Computer Science
University of Maryland
College Park, MD 20742, USA
Tel: (+1 301) 4052674
Fax: (+1 301) 9277193
email: kanal@cs.umd.edu
copy email: moldovan@gringo.usc.edu
suttner@lan.informatik.tu-muenchen.de
W-2 DECISION MAKING THROUGHOUT THE GENERATION PROCESS
In order to be able to describe the generation process, we need to
arrive at some consensus as to the space of decisions in the process
overall. This, in turn, will allow us to better understand and take
advantage of each other's work, since researchers will be able to
identify clearly which portion of the decision space is covered by
their work. In this context, an important question that must be
answered is whether the different decision types have any
communalities that can be exploited; for example, could the reasoning
processes that determine text planning choices also be useful for
lexical selections? In addition, it is essential to reach an
agreement with respect to the answers to the following questions:
What are the decisions made by a text generation system? How should
alternatives be represented? What control structure determines the
order in which the decisions should be made? and What is the effect
of a decision on subsequent decisions?
This workshop will attempt to answer these questions by bringing
together researchers to specifically discuss the decision making
process in their systems.
For further information on participating in this workshop contact:
Marie Meteer
BBN, 10 Moulton Street
Cambridge, MA 02138, USA
Tel: (+1 617) 8733789
Fax: (+1 617) 8733776
email: mmeteer@bbn.com
copy email: ingrid@bruce.cs.monash.oz.au
W-3: SOFTWARE ENGINEERING FOR KNOWLEDGE-BASED SYSTEMS
The rule-based paradigm used in the building of many Knowledge-based
systems implies that rule-based systems are self-documenting and
facilitate the addition of knowledge to the knowledge-base in the
ad-hoc manner (the No-Function-in-Structure principle). Several
'first generation' Knowledge-based systems built using this paradigm
are being rebuilt because the maintenance experience has shown that
the paradigm is invalid. The maintenance of these systems became
increasingly difficult to the point that an expensive reconstruction
effort was seen as the only solution to the burgeoning maintenance
problem.
This workshop aims to bring together researchers to discuss the above
issues and who are involved with the software engineering of
Knowledge-Based systems having experience in :design methodologies,
maintenance, structured knowledge acquisition, knowledge
representation, and knowledge modeling.
For further information on participating in this workshop contact:
Bob Jansen
CSIRO Division of Information Technology
P O Box 1599
North Ryde, NSW 2113, Australia
Tel: (+61 2) 8879487
Fax: (+61 2) 8887787
email: Bob-jansen@syd.dit.csiro.au
W-4: MODELLING FOR INTELLIGENT INTERATION
Any system capable of intelligent interaction requires a model of any
agent with which it communicates. An intelligent interface needs a
model of the user. An intelligent help system must have a model of
the advice-seeker. An intelligent tutoring system requires a model
of the student. And an intelligent Natural Language dialog
participant needs a model of the other participant in the discourse.
The last few years have seen a dramatic growth in research into
automatically acquiring and updating these models, representing the
knowledge they must contain, and making use of this knowledge to
enhance communication.
This workshop seeks to bring together this diverse community of
researchers. Its purpose is to explore and develop similarities and
differences in their concerns, approaches, and terminology. The focus
will be on research into the construction of computer programs
capable both of forming and using agent models. However,
contributions from closely-related areas of research are welcome,
including tools for constructing these systems, techniques or
evaluating their performance, and cognitive models that aid in their
design.
For further information on participating in this workshop contact:
Judy Kay
Department of Computer Science F09
University of Sydney, NSW 2006, Australia
Tel: (+61 2) 6923423
email: judy@cs.su.oz.au
copy email: alex@wiliki.eng.hawaii.edu
W-5: AI AND BUSINESS
Artificial intelligence (AI) is receiving increasing use in business
and government settings in a number of areas, including finance,
accounting, management and economics. The focus of this workshop will
include the following:
- issues in managing, deploying and implementing knowledge based
systems
- the impact of expert systems on organizations and the impact of
organizations on experts systems, e.g., political issues
- innovative business applications of AI technology, for example,
applications of AI in finance, accounting, management and
economics; the use of AI in international business settings;
the use of AI to detect fraud
- integration issues in business applications, for example, the
integration of linear programming and expert systems or the use
of hypertext in expert systems.or the use of hypertext in expert
systems - the use of multiple ASI methods in applications for
business
- the use of AI in applications with large databases, e.g., financial
databases.
For further information on participating in this workshop contact:
Daniel E O'Leary
Paul R Watkins
Advanced Technologies in Information Systems
School of Business
University of Southern California
Los Angeles, CA 90089-1421 USA
Tel: +(1 213) 740 4856 (O'Leary)
(+1 213) 740 4852 (Watkins)
Fax: (+1 213) 747 2815
email: oleary@mizar.usc.edu
copy email: Watkins@uscvm.usc.edu
After May 11,1991
Daniel O'Leary
School of Information and Computer Science
Bond University
Queensland 4229 Australia
Tel: (+61 7) 5953356
Fax: (+61 7) 5953333
W-6: INTEGRATING AI AND DATABASES
Any non-trivial reasoning system needs to access a large amount of
data. Current research has focused on developing both artificial
intelligence and database systems, but separately. Artificial
intelligence researchers and practitioners need to cooperate with
database workers.
Specific issues to be considered include:
- loose and tight coupling vs, fully integrated expert databases
- object-oriented knowledge based management systems
- adding deductive capabilities to databases
- using object-oriented expert database systems to perform case-based
or model-based reasoning -coupling knowledge based and information
systems
- building real-time deductive databases.
- exiting AI-DB prototypes (e.g., LDL, RDL, Logres) and practical
examples
- Intelligent interoperability.
For further information on participating in this workshop contact:
John Zelezikow
Database Research Laboratory
Applied Computing Research Institute
La Trobe University
Bundoora, Victoria 3083, Australia
Tel: (+61 3) 4791003
Fax: (+61 3) 4704915
email: johnz@latcs1.lat.oz.au
W-7: DYNAMIC SCENE UNDERSTANDING
The aim of the workshop is to examine critically some of the
difficult and challenging issues in dynamic scene analysis and motion
estimation. These issues include" Robust algorithms, qualitative
analysis, multiple motion segmentation, nonrigid motion, and the
interaction of high-level and low-level techniques. the emphasis of
the discussions will be on the limitations of present methods and
approaches, and potentially fruitful future research directions.
For further information on participating in this workshop contact:
Thomas S. Huang
Beckman Institute and Coordinated Science Laboratory
University of Illinois
1101 W. Springfield Avenue,
Urbana, IL 61801, USA
Tel: (+1 217) 3336912
Fax: (+1 217) 2441764
email: huang@uicsl.csl.uiuc.edu
W-8: EVALUATING AND CHANGING REPRESENTATION IN MACHINE
LEARNING
In general, the influence of knowledge representation for the success
of Machine Learning systems is well known, One needs to choose the
means for representing the input examples, the available domain
knowledge and the output (concept) descriptions. In practical
applications of Machine Learning, the design of the representation
language can be the most critical and time-consuming part.
The workshop will focus on studies that aim at evaluating
representations for given learning tasks, both theoretically and
empirically, as well as on methods for changing the representation
when necessary.
For further information on participating in this workshop contact:
Katharina Morik
GMD and Technical University of Berlin
GMD PO Box 1240
Schloss Birlinghoven
D-5205 Sankt Augustin 1, Germany
Tel: (+49 2241) 142670
Fax: (+49 2241) 142889
email: morik@gmdzi.uucp
Copy email: bergadan@di.unito.it
wray@ptolemy.arc.nasa.gov
W-9: FULLY-IMPLEMENTED NATURAL LANGUAGE UNDERSTANDING
SYSTEMS
A large set of theories have been proposed in recent years, covering
one or more aspects of NL understanding systems. Little effort has
been spent on integrating these theories into one system.
Experiments involving the integration of different theories, e.g.,
unification -based analysis, DRT-based semantics, logic-based
reasoning, analogical reasoning, and two-level morphology, have
delivered interesting results. One of the major outcomes in this
respect is that the game of "my component/theory is not responsible
for that task/ explanation/problem" cannot be played any more,
instead a much broader view has to be taken as the deficits of the
theories become apparent. The integration of several theories
explicates their requirements and necessitates their revision.
Researchers of all areas of natural language understanding systems
are invited to actively participate in this workshop. Contributions
should not cover a particular theory/explanation but rather results
from integrating different theories into one single system. Reports
which cover limitations of specific theories with respect to
integration and/or concrete demands for the further development
within theories are especially welcome.
For further information on participating in this workshop contact:
H. J. Novak
IBM Germany
WT IWBS 7000-75
P O Box 80 08 80
D-7000 Stuttagrt 80, Germany
Tel: (+49 711) 6695447
Fax: (+49 711) 6695500
email: novak@DS0LILOG.BITNET
W-10: WORKSHOP ON EVOLUTION AND CHAOS IN COGNITIVE PROCESSING
The goals of the workshop is to provide a forum for researchers
investigating the links between evolutionary processes and discrete
chaos theory, and to review the research from these two areas used
for the study of cognitive processing Investigating the interaction
between evolutionary processes and discrete chaos theory may lead to
the solution to the above mentioned problem as well as others. For
example, chaotic behavior in a genetic system, once defined, could be
detected so the the actual operators of the system could be changed
to achieve convergence. We would like to direct the increased
research interest in these two areas towards the study of cognitive
processing. Topics of interest for the Workshop include artificial
life, discrete chaos, emergent behaviors, cellular automata,
classifier systems, alternatives to the classical genetic algorithm
approach, genetic algorithm theory, other evolutionary systems,
discrete non-linear systems, and the application of the mentioned
topics to cognitive processing.
For further information on participating in this workshop contact:
Dwight Deugo
Carleton University
Ottawa K1S 5B6, Canada
Tel: (+1 613) 7884345 & 7884333
Fax: (+1 613) 7884334
email: dwightdeugo@scs.carleton.ca
W-11: FUZZY CONTROL WORKSHOP
During the past several years fuzzy control has emerged as one of the
most active and fruitful research areas in the application of fuzzy
set theory, especially in the realm of industrial processes which do
not lend themselves to control by conventional methods. Fuzzy
control has appeared as a qualitative extension of classical control
theory and is very similar to AI knowledge representations in that
both model the "common sense" knowledge of an experienced human
operator.
However, AI and Fuzzy Control approaches have developed independently
form one another and there has been almost no exchange of ideas
between the two scientific communities. In control theory the terms
fuzzy rule-based formalism can be likened to a qualitative
input/output model whereas the AI approach is akin to a qualitative
state-space description and performs the function of an internal
representation of the process. Thus the fuzzy control representation
describes what an operator does rather than why he does it. The
knowledge about the later can only come from the internal
representation of the process i.e. its model. In this context the
workshop will provide a framework within which the similarities and
differences between the two approaches can be highlighted and
discussed in depth.
For further information on participating in this workshop contact:
Peter Eklund
Department of Computer and Information Science
Linkoping University
5-581 83 Linkoping, Sweden
Tel: (+46 13) 281950
Fax: (+46 13) 142231
email: pwe@ida.liu.se (internet)
pwe@seliuida (bitnet)
W-12: FUZZY LOGIC IN ARTIFICIAL INTELLIGENCE
The recent success of fuzzy logic applications has demonstrated the
power of fuzzy logic based techniques. While most products
incorporating fuzzy logic are in fact applications of fuzzy control,
significant research has pointed to the usefulness of fuzzy logic in
AI research. The focus of the workshop is indicated below:
- knowledge representation with fuzzy logic
- approximate reasoning (syllogistic reasoning, interpolating
reasoning, combination of evidence)
- representation, recognition and learning of imprecise concepts in
fuzzy environments
- fuzzy algorithms in AI
- fuzzy programming language
- fuzzy expert system shells.
For further information on participating in this workshop contact:
Anca Ralescu
Department of System Science
Graduate School of Science & Engineering at Nagatsuta
Tokyo Institute of Technology
4259 Nagatsuta
Midori-ku, Yokohama 227, Japan
Tel: (+81 45) 9221111 ext 2699
Fax: (+81 45) 9222666
email: anca@sys.titech.ac.jp
W-13: INTELLIGENT & COOPERATIVE INFORMATION SYSTEMS: BRINGING
AI & INFORMATION TECHNOLOGIES TOGETHER.
The paradigm for the next generation of information processing
systems will involve large numbers of intelligent agents distributed
over large computer/communication networks. Work tasks will be
defined by one or more agents and will be executed by a pool of
agents acting autonomously, cooperatively, or collaboratively,
depending on the resources required to complete the task. A goal of
this vision is to be able to efficiently, and transparently, use all
computing resources (e.g., processing, knowledge and data) that are
available on all computers in large computer/communications
networks. The design, construction, use, and evolution of systems
within the above paradigm will require sophisticated support for all
aspects of the systems lifecycle. We call such systems Intelligent
and Cooperative Information Systems (ICIS). The workshop will
address many aspects of the ICIS functionality, implementation,
deployment, and evaluation
For further information on participating in this workshop contact:
Mike P. Papazoglou
Department of Computer Science
Australian National University
GPO Box 4
Canberra, ACT 2601, Australia
Tel: (+61 6) 2494725
Fax (+61 6) 2490010
email: mike@anucsd.anu.oz.au
W-14: NATURAL LANGUAGE LEARNING
The focus of this workshop is computational language learning
models. Primarily, we aim to bring together those who have
implemented language learning models, or parts thereof. However, we
intend that computationally viable language learning models developed
by Linquists and Psycholinquists will also be examined at the
workshop. In addition, Machin Learning or Natural Language research
which has not specifically been undertaken from a language learning
perspective may be considered relevant - in particular, for example
work in Concept Learning and Semantic representation.
We wish to invite applications from all who have implemented language
learing programs, and we will further encourage participation from
those whose work could be of use in the implementation of language
learning systems.
For further information on participating in this workshop contact:
David M. W. Powers
FB Informtik, Universitaet Kaiserslautern
6750 Kaiserslautern, Germany
Tel: (+49 631) 2053449,
Fax: (+49 631) 2053200
email: powers@uklirb.uucp
copy email: reeker@cs.ida.org
onomata@bengus.bitnet
W-15: REPRESENTING KNOWLEDGE IN MEDICAL DECISION SUPPORT
SYSTEMS
A growing number of researchers are working to apply research
paradigms that have been developed in Artificial Intelligence to
several areas of medicine. A particular area of interest in medical
applications is that of decision support systems to assist in the
diagnosis and/or treatment of patients. With the constantly
escalating costs of medical care, systems that can aid the physician
in making informed decisions should prove to be significant time (and
money) savers.
The purpose of this workshop is to examine the unique aspects of
representing knowledge in these medical decision support systems.
For further information on participating in this workshop contact:
Cynthia Sarmiento
Department of Computer Science and Engineering
ENG118
University of South Florida
Tampa, FL 33620, USA
Tel: (+1 813) 9742113
Fax: (+1 813) 9745456
email: cds@sol.csee.usf.edu
W-16: EXPLANATION GENERATION FOR KNOWLEDGE-BASED SYSTEMS
In practice, most current systems still have very restricted
explanation capabilities or do not even provide any explanation at
all. Yet, we know that some of these systems are rather successful.
Are their users really satisfied with the system-user information?
If so, is it because most actual knowledge-based systems today deal
with a specific type of tasks, domains, or a user group which hardly
ever requires explanation? Will users still be satisfied with the
restricted explanation capabilities of current knowledge-based
systems if these systems dealt with different types of tasks and more
complex domains? Answers to these questions would help us to decide
which techniques to employ to support the appropriate level of
system-user interaction.
For further information on participating in this workshop contact:
Nel Wognum
University of Twente
Department of Computer Science
P O Box 217
7500 AE Enschede, The Netherlands
Tel: (+31 53) 893736
Fax: (+31 53) 339605
email: wognum@cs.utwente.nl
W-17: ARTIFICIAL INTELLIGENCE IN DESIGN
Design has long been an area of particular interest for AI
researchers who view it as uniquely complex intelligent behavior and
AI researchers are choosing design as a domain to study. Design
researchers have embraced the AI paradigm as a means of developing
and exploring computational and cognitive models of design
independently of the specific application areas. Developments in
both AI and design understanding provide a burgeoning potential for
cross-fertilization of ideas.
The aim of this workshop is to provide a forum for both AI
researchers in design and design researchers using AI to present and
explore state-of-the-art and cutting edge developments in AI in
design in order to enhance both AI and design research. At the same
time the workshop will continue the process of forming a scientific
community of design researchers.
For further information on participating in this workshop contact:
John Gero
Department of Architectural and Design Science
University of Sydney, NSW 2006, Australia
Tel: (+61 2) 6922328
Fax: (+61 2) 6923031
email: john@archsci.arch.su.oz.au
W-18: AI APPROACHES TO PRODUCTION PLANNING; MASTER
SCHEDULING FOR SEQUENCING TOOLS
Production planning is a highly complex activity that can benefit
from AI approaches in developing tools to support, optimize or
automate planning functions. Flexible Manufacturing and Computer
Integrated Manufacturing are emerging approaches to production
planning that could benefit from exposure to AI methods and tools.
Two particular areas of production planning are targeted for this
workshop. Master Scheduling is concerned with materials and resource
allocation, particularly in job-shop situations where multiple
production routes must be allocated, Sequencing is concern with
ordering production through single/multiple processes, particularly
when optimizing constraints must be fulfilled by the generated
sequence. The workshop will addressed key enabling technologies that
have or might be applied to CIM approaches to this area.
For further information on participating in this workshop contact:
Steve Garlick
BHP Central Research Labs
P O Box 188
Wallsend, NSW 2287, Australia
Tel: (+61 49) 510621
email: steveg@venus.crl.bhp.com.au
W-19: OBJECTS AND AI
Recently, object-oriented programming has gained tremendous
recognition as a powerful paradigm for structuring and programming
complex systems. At the same time, the field of AI is still striving
for new representational and software engineering advances that can
help develop its complex systems and applications. Given the
similarities (at least from the surface) between objects and frames.
and notions such as class hierarchies and AI inheritance, it is
natural to ask questions such as:
- what can object-oriented programming and AI offer each other
- how do the two areas differ from each other
- where are they heading and can each shape the future of the other
With these questions in mind, we feel there is a strong need for a
special forum in which researchers in both fields can address these
questions and discuss issues related to object-oriented programming,
AI, and the relationship between them.
For further information on participating in this workshop contact:
Mamdouh H. Ibrahim
Electronic Data Systems
AI Services
5555 New King Street, 4th Floor
Troy, MI 48098 USA
Tel: (+1 313) 696-7129
Fax: (+1 313) 696-2325
mhi@ais.tsd.eds.com or mhi@eds.com
W-20: COMPUTATIONAL APPROACHES TO NON-LITERAL LANGUAGE
METAPHOR, METONYMY, IDIOM, SPEECH ACTS, IMPLICATURE
Non-literal language includes metaphor, idiom, and other devices
whose meaning cannot be obtained by direct composition of their
constituent words. The purpose of the workshop is to stimulate
exchange and discussion of theoretical issues and practical problems
of artificial intelligence (AI) models of non-literal language.
Issues of interest include the relation-ship of non-literal to
literal language, the adequacy of various forms of knowledge
representation (symbolic vs connectionist vs statistical), static vs
dynamic mechanisms, general vs idiosyncratic treatment of instances,
instances as novel vs conventional forms, comparison and contrast of
models of the various forms of non-literal language, and broader
implications for AI.
For further information on participating in this workshop contact:
Dr. Dan Fass
Center for Systems Science
Simon Fraser University
Burnaby, BC V5A 1S6, Canada
Tel: (+1 604) 2913208
Fax: (+1 604) 2914951
email: fass@cs.sfu.ca
W-21: THEORETICAL AND PRACTICAL DESIGN OF RATIONAL AGENTS
This workshop will focus on the rational-agency approach to the
design of AI systems. Its purpose is to bring together researchers
working on various aspects of rational agency and on the design of
systems based on this approach. In the workshop, we will consider
the philosophical foundations and logical formalizations of rational
agency, the role of decision theory in deliberation and meta-level
reasoning, and the design and performance evaluation of such rational
agents in experimental and real-world domains.
For further information on participating in this workshop contact:
Michael P. Georgeff
Australian Artificial Intelligence Institute
1 Grattan Street
Carlton, Victoria, 3053, Australia
Tel: (+61 3) 6637922
Fax: (+61 3) 6637937
email: georgeff@aaii.oz.au
W-22: REASONING IN ADVERSARIAL DOMAINS
The purpose of this workshop is to explore the requirements of, and
techniques for reasoning in adversarial domains when a pure mini-max
strategy is inappropriate. Of particular interest are techniques
that have not received much attention in the AI literature, such as
partial goal achievement or goal relaxation, such as is required for
successful negotiation. Reasoning about intentions and beliefs in
adversarial contexts will be discussed, with the planning of
deceptions a possible topic of discussion. Researchers in the areas
of fame theory, computer game playing, multi-agent planning, legal
reasoning, negotiation, and relevant application research will be
invited to discuss issues such as: modeling an agent's beliefs, use
of decision-theoretic techniques, protocols for accounting for an
adversary, and formal representation of adversarial domains. In
addition, we will review progress in adversarial reasoning applications.
For further information on participating in this workshop contact:
Christopher Elsaesser
Artificial Intelligence Technical Center
Mail Stop W429
The MITRE Corporation
7525 Colshire Drive
McLean, VA 22102-3481, USA
Tel: (+1 703) 8836563
Fax: (+1 703) 8836435
email: elsaesser@starbase.mitre.org
W-23: SITUATION AWARENESS
Situation Awareness embraces a number of underlying technologies; it
is somewhere between pattern classification and recognition on the
one hand and planning and plan-repair on the other. It involves
evidential reasoning and models of non-cooperative communication.
This workshop seeks to provide an opportunity for workers from a
range of disciplines and application domain projects to interact and
address the generic rather than domain specific issues.
For further information on participating in this workshop contact:
Simon Goss
Aircraft Systems Division
Aeronautical Research Laboratory
Defense Science and Technology Organisation
506 Lorimer Street
Port Melbourne, Victoria 3207, Australia
Tel: (+61 3) 6477711
Fax: (+61 3) 6463433
email: SIG@dstos3.dsto.oz.au
W-24: COMPUTER VISION - FROM COGNITIVE SCIENCE TO INDUSTRIAL
AUTOMATION
After 20 years of intense researching, the topic of computer vision
remains essentially unchartered territory where even the appropriate
exploration methodology is still hotly debated. Whilst deep issue
aspects of computer vision are often intimately connected with
biological vision, primarily that of humans, there have been many
successful (though limited) implementations of industrial vision
systems (supporting robotic and other automation), which have not
been either burdened or assisted (depending on one's viewpoint) by
these issues. It would be valuable to debate the ongoing controversy
concerning the extent to which biological vision studies are
essential to the task of developing artificial vision systems and
whether scientific curiosity about the casualty structure of a
natural perceptive mechanism should be mixed or confused with the
need for robust, fast and inexpensive functional emulations in
application fields including industrial automation,
healthcare/prostheses, remote/hazardous environments, service
industries and many others.
Participants at this workshop would be expected, not only to present
short papers on state-of-the-art methods and results over a wide
range of computer vision topics, but to contribute to the debate
outlined above in the hope that all would benefit from the insights
brought to the forum by researchers spread the whole way along the
spectrum of interests and motivations from pure curiosity driven
cognitive science to commercially focussed industrial automation.
For further information on participating in this workshop contact:
Ray Jarvis
Intelligent Robotics Research Centre
Monash University
Wellington Road
Clayton, Victoria 3168, Australia
Tel: (+61 3) 5653470
Fax: (+61 3) 5653454
email: eln164y@monu1.cc.monash.EDU.AU
W-25: ADVANCES IN INTERFACING PRODUCTION SYSTEMS WITH THE REAL
WORLD
This workshop will deal with production systems tightly
coupled to real world problems Contributions concerning the HW and
SW production system architectures focusing on real-time aspects such as
recency, graceful degradation, run-time guarantee, asynchrony,
uncertainty, data fusion and high performance including parallelism are of
interest. Since such systems are driven by frequent changes in the real
world, resource bound evaluations must be taken into consideration. From
the implementation point of view, our special interest is devoted to the
integration of real-time production systems with conventional procedural
language programs and databases.
For further information on participating in this workshop contact:
Franz Barachine
ALCATEL-ELIN Research Centre
Ruthnergasse 1-7, 1210 Vienna, Austria
Tel: (+43 1) 391621150
email: rcvie!es_manag@relay.EU.net
copy email: ishida@nttkb.ntt.jp@relay.cs.net
milind.tambe@natasha.mach.cs.cmu.edu
W-26: VERIFICATION AND VALIDATION OF AI SYSTEMS
This workshop will be aimed at providing a global view of different
approaches to verification, validation, and testing (VV&T). Plans include
discussion of European and Pacific Rim approaches to VV&T. A number of
other issues will be examined at the workshop, including the implications
of the move to standards; software engineering approaches to VV&T; the
relationship between knowledge acquisition and VV&T; evaluation of the
overall quality of the system (e.g.,security and user satisfaction); and
other topics of interest to participants.
For further information on participating in this workshop contact:
Marc Ayel
Jean Pierre H. Laurent
Universite de Savoie
Laboratoire d'Intelligence Artificielle
BP 1104
73011 Chambery Cedex
France
Tel: (+33 79) 961062
Fax: (+33 79) 963475
email: lia@frgren81.bitnet
copy email: jplaure@imag.fr
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End of NL-KR Digest
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