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Introduction
This
international
workshop series, originating within the artificial intelligence
community, focuses on theories, principles and computational techniques
for diagnosis, testing, reconfiguration and repair of complex systems.
It also focuses on transfer of
these theories, principles and techniques to industrial applications
of diagnostic problem solving.
This lively annual forum fosters interaction and cooperation among researchers
with diverse interests and approaches to diagnosis in Artificial Intelligence,
such as model-based reasoning, as well as in related areas, such as
FDI and control. The workshop has traditionally adopted a single-track
program, and limited the number of participants to support technical
exchange and debate.
We solicit papers
in a variety of areas relating to diagnostic problem solving, including
but not limited to:
- Formal theories
of diagnosis, monitoring, testing, repair, reconfiguration and related
topics.
- Computational
methods for diagnosis, monitoring, testing, repair, reconfiguration
and related topics.
- Modeling: symbolic,
numeric, discrete, continuous, hybrid discrete/continuous, probabilistic,
functional, behavioral, qualitative, abstractions and approximations.
- Computational
issues: controlling combinatorial explosion, focusing strategies,
limiting computation for complex systems, use of structural knowledge,
use of hierarchical knowledge, abstraction and approximation techniques.
- The diagnosis
process: repair strategies, sensor placement, test selection, resource-bounded
reasoning, real-time diagnosis, on-board autonomous operation, active
testing, experiment design, predictive diagnosis, contingency planning.
- Connections
between diagnosis and other areas: FDI techniques, control theory,
design, machine learning, nonmonotonic reasoning, planning, execution,
Bayesian reasoning, Markov modeling, real time languages, software
V&V, debugging, synthesis, hardware testing.
- Principled applications
and technology transfer: real-world applications and integrated systems
in a wide range of fields including medical, chemical, mechanical,
electrical, electro-mechanical and electronics systems. We especially
welcome insights on whether and why a specific technique succeeded
(or failed) in a real context.
Papers must not
exceed 5000 words, excluding references and abstract. The text should
be in 12 point type
with a minimum of 1-inch margins on both sides. Final papers must be
submitted in AAAI
format.
Workshop notes will only be distributed to participants to facilitate resubmission of papers to conferences or journals.
Authors must submit
their paper's title and abstract via email to dx01@ksl.stanford.edu
by November 15, 2000. A postscript or pdf file of the full paper
should then be emailed to dx01@ksl.stanford.edu
by November 17, 2000. Although postscript submissions are preferred,
authors may also send hardcopies of their papers to Sheila McIlraith
at the address below; 4 copies of each paper must be received by November
17, 2000.
Please include postal
addresses, electronic mail, fax, and telephone numbers on the cover
page of all papers.
Authors will be notified of acceptance or rejection by January 5,
2001. Accepted papers should be revised to
accommodate the referee comments before final submission for inclusion
in the workshop working notes.
Camera-ready copies of the final paper are due by February 5, 2001.
For those who wish
to attend the Workshop without submitting a paper, please email a short
abstract
describing your research interests to dx01@ksl.stanford.edu
by November 17, 2000. Invitations will be mailed out
by January 5, 2001. To promote active discussion at the workshop,
attendance will be by invitation only.
People
Workshop
Program Co-chairs
Sheila
McIlraith
Knowledge Systems Laboratory
Department of Computer Science
Gates Bldg 2A-248
Stanford University
Stanford, CA 94305-9020, USA
sam@ksl.stanford.edu
Daniele
Theseider Dupré
Dipartimento di Scienze e Tecnologie Avanzate
Università del Piemonte Orientale
Corso Borsalino 54
I-15100 Alessandria, Italy
dtd@mfn.unipmn.it
Workshop
Organization
Luca
Console
Dipartimento di Informatica
Università di Torino
Corso Svizzera 185
I-10149 Torino, Italy
Luca.Console@di.unito.it
Program
Committee
Gautam
Biswas (Vanderbilt University, USA)
Dan Clancy (NASA Ames Research Center, USA)
Marie Odile Cordier (IRISA, France)
Adnan Darwiche (UCLA, USA)
Peter Lucas (University of Aberdeen, UK)
Jan Lunze (TU Hamburg-Harburg, Germany)
Rob Milne (Intelligent Applications Ltd, UK)
Jacky Montmain (EMA-CEA, France)
Chris Price (First Earth Ltd & Univ. Aberystwyth, UK)
Greg Provan (Rockwell Science Center, USA)
Meera Sampath (Xerox Research (NY), USA)
Peter Struss (Occ'm Software & TU Munich, Germany)
Mugur Tatar (Daimler Chrysler, Germany)
Takashi Washio (Osaka Univ., Japan)
Brian Williams (MIT, USA)
Franz Wotawa (TU Vienna, Austria)
Marina Zanella (Università di Brescia, Italy)
Feng Zhao (Xerox PARC, USA)
Important
Dates
Abstract submission
deadline: November 15, 2000
Paper submission deadline: November 17, 2000
Acceptance notification: January 5, 2001
Camera-ready copy due: February 5, 2001
Workshop: March 7-9, 2001
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