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The world is full of physical systems about which we have incomplete,
qualitative knowledge. Humans are amazingly effective at working with such
knowledge, and many science, engineering, and educational applications
could benefit greatly from similar capabilities. In seeking to understand,
develop, and exploit the ability to reason qualitatively, the QR community
pursues research at the interface of Artificial Intelligence, Cognitive
Science, Engineering, and Science. Some QR researchers study, from a
cognitive modeling perspective, how humans represent and use incomplete
knowledge about physical systems. Others develop algorithms and systems
for constructing, simulating, and applying qualitative and
semi-quantitative models. Still others exploit these insights to develop
powerful methods for system modeling, explanation, diagnosis, and design,
and in applications in science, engineering, and education.
The 20th International Workshop on Qualitative Reasoning provides a
forum bringing together researchers from all these perspectives. The
Workshop will be held at Dartmouth College, Hanover, New Hampshire, from
July 10 through 12, 2006.
Topics
Paper submissions are encouraged in the following research areas:
- Cognitive modeling (e.g., cognitive theories of reasoning about
physical systems, theories and experiments concerning human reasoning
and learning of mental models, QR models for spatial reasoning,
cognitive maps, cognitive robots);
- Techniques (e.g., qualitative simulation, ontologies, management of
multiple models, reasoning over time and space, mathematical
formalizations of QR, qualitative algebras, qualitative dynamics,
qualitative kinematics, qualitative optimization);
- Task-level reasoning (e.g., design, planning, monitoring, diagnosis
and repair, explanation, tutoring and training, process control and
supervision);
- Applications (e.g., engineering, education, business, biology,
chemistry, ecology, economics, social science, environmental science,
medicine, and law);
- Intersection with other modeling approaches (e.g., system dynamics
and bond-graphs, signal processing, numerical methods, statistical
techniques, differential equations);
- Knowledge acquisition methods (e.g., model building tools and
techniques, automated model construction and machine learning,
acquisition of models from data).
- Theoretical foundations of qualitative reasoning techniques.
Paper Submission and Review
By popular demand, the deadline has been extended to March 9.
This date is firm.
- Full Paper. A PDF file of the full paper not to exceed 6000
words (excluding references) must be submitted by e-mail to qr06@cs.dartmouth.edu by March
9, 2006.
- Poster. A PDF file of the poster paper not to exceed 2000
words (excluding references) must be submitted by e-mail to qr06@cs.dartmouth.edu by March
9, 2006.
- Review Process. Both papers and posters will be selected
according to their quality, significance, originality, and potential to
generate discussion. Each contribution will be reviewed by at least two
referees from the QR-06 Program Committee.
- Submission to Conferences or Journals. The accepted papers
will be published as a collection of Working papers. As QR-06 is a
workshop, not a conference, submission of the same paper to conferences
(e.g., AAAI-06) or journals is acceptable.
- Format. Papers should be formatted according to the AAAI-06
guidelines, available from http://www.aaai.org/, and must be in PDF
format.
Additional Participants
People who wish to receive an invitation to attend the workshop without
submitting a paper or a poster should send a request to qr06@cs.dartmouth.edu.
Important Dates
- Submission (both papers and posters): March 9, 2006
- Notification: April 24, 2006
- Camera-ready copies: May 8, 2006
- Workshop: July 10-12, 2006
Organization
The Program chairs are Chris Bailey-Kellogg and Ben Kuipers; the
program committee is as follows:
- Chris
Bailey-Kellogg, Dartmouth College, USA
- Bert Bredeweg,
University of Amsterdam, The Netherlands
- Marc Cavazza, University of Teesside, UK
- George Coghill,
University of Aberdeen, Scotland/UK
- Ron
Ferguson, Georgia Tech, USA
- Juan Flores, University
of Michoacan, Mexico
- Ken Forbus,
Northwestern University, USA
- Michael
Hofbaur, Graz University of Technology, Austria
- Liliana Ironi,
IMATI-CNR, Pavia, Italy
- Hidde de
Jong, INRIA, France
- Johan de
Kleer, PARC, USA
- Ben Kuipers,
University of Texas-Austin, USA
- Chris Price, University
of Wales, Aberystwyth, UK
- Bernhard
Rinner, Graz University of Technology, Austria
- Paulo
Salles, University of Brasilia, Brazil
- Cem Say, Bogazici
University, Turkey
- Qiang Shen, University of
Wales, Aberystwyth, UK
- Peter
Struss, Technical University of Munich and OCC'M Software GmbH,
Germany
- Dorian Suc, University
of Ljubljana, Slovenia
- Stefania Tentoni,
IMATI-CNR, Pavia, Italy
- Louise Trave-Massuyes, LAAS-CNRS, Toulouse, France
- Franz Wotawa,
Graz University of Technology, Austria
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