Link to the whole workshops... (involving this workshop)
*** Call for Papers ***
JSAI 2001 International Workshop on Chance Discovery
Date: 22 May 2001
supported by the Fifteenth Annual Conference of Japanese Society of
Artificial Intelligence (JSAI 2001), 22-25 May, 2001, Matsue, JAPAN
1. International workshops from JSAI
JSAI Annual conferences have been organized since 1987 to enhance studies
on artificial intelligence, mainly of Japanese domestic researchers, with
sessions mostly made of presentations/discussions in Japanese.
The presentations in these series of events became the seeds of various
later success of basic and applied studies, not only in the area of AI
but also to authorized and newly recognized relevant areas, e.g.
successful business applications, robot soccer games etc.
JSAI2001 will be the first JSAI conference holding international sessions
and international workshops, co-located with the main conference. This
aims at having people looking at various current AI studies/trends from
various aspects stimulate each other, in an environment where new
meaningful directions are desired by attendants.
Workshops are intended to focus attentions to specific research issues/
topics, and to informal and exciting presentations and discussions on
problems important even though not authorized, and ideas interesting even
though not yet established. Rather than accepting matured results, we would
like to supply places to make new ideas and new meaningful directions grow.
2. The Scope of Chance Discovery
A "chance" here means a new event/situation that can be conceived either
as an opportunity or as a risk. The "discovery" of chances is of crucial
importance since it may have a significant impact on human decision making.
Desirable effects of opportunities should be actively promoted, whereas
preventive measures should be taken in the case of discovered risks. In
other words, chance discovery aims to provide means for inventing or
surving the future, rather than predicting the future.
The essential aspect of a chance (risk or opportunity) is that it can be
the seed of new and significant changes is the near future. The discovery
of new opportunities might be more beneficial than reliance on past
frequent success-patterns, because they are not known yet by one's business
rivals. The discovery of new risks might be indispensable to avoid or
lessen damage, because they cannot be explained by past frequent damage-
patterns. Therefore, being aware of a novel important event without
ignoring it as noise in the data is essential for human future success.
Besides data mining methods for finding rare but important events from
time-series, it is also important to draw humans attention to such events,
i.e., to make humans ready to catch chances. In this sense, human-
information interactions are highly relevant to chance discovery.
Furthermore, chance discovery can be seen as an extension of risk management
to computer-aided problem solving where novel situations are involved.
This workshop is intended to bring together researchers from artificial
intelligence, human-computer interaction, social and cognitive sciences,
risk management, knowledge discovery and data mining, and other related
domains, for stimulating discussions on chance discovery.
We especially welcome research papers on identifying and explaining
- new products worth to promote sales
- new (potential) customers to send advertising mails, for stimulating
the sales
- new risks which should be avoided in business and human life, e.g.,
risks due to newly discovered side-effects of a drug
- new (promising) keywords in research papers indicating pioneering and
meaningful directions of research
- new keywords on the world-wide web which show attractive future trends
and also topics from information visualization are relevant to chance
discovery
and topics from information visualizations may be relevant to chance discovery.
3. Important Dates
- Submission Deadline of Papers: *** January 31, 2001 ***
Please send a paper in English no longer than 6000 words (counting each
figure as 300 words).
Electoronic (e-mail) submissions in pdf, ps or doc will be preferable.
But this is not a strict rule for authors.
- Acceptance Notification of Papers: *** February 28, 2001 ***
- Camera Ready due: *** March 31, 2001 ***
- Workshops: *** May 22, 2001 *** Let us have great discussions !
4. Other Information
- The traveling fee of the best paper author will be supported by organizer.
- Information for participants will be announced as soon as fixed, on the web,
on a page linked from the official Web page for JSAI2001
http://www.kdel.info.eng.osaka-cu.ac.jp/~kitamura/JSAI2001/index.html
and the Web page of this workshop will be
http://www.gssm.otsuka.tsukuba.ac.jp/staff/osawa/CDworkshop.html
which will be revised until the workshops.
- The workshop note will be published from Japanese Society of Artificial
Intelligence (JSAI), one separate from the conference proceedings.
- For any issue, please feel free to contact the organizer.
5. List of Pogram Committee Members
Abe, Akinori (NTT Communication Science Labs, Japan)
Ah-Hwee Tan (Kent Ridge Digital Labs, Singapore)
Bruza, Peter (Distributed Systems Technology Centre, Australia)
Huan Liu (Arizona State University, USA)
Keong, Ng Wee (Nanyang Technological University, Singapore)
McBurney, Peter (Univ. Liverpool, UK)
Nara, Yumiko (Osaka Kyoiku University, Japan)
Ohsawa, Yukio (Univ. Tsukuba, Japan), = Chair
Prendinger, Helmut (Univ. Tokyo, Japan)
Sumi, Yasuyuki (ATR, Japan)
Liechti, Olivier (ATR, Japan)
Toya, Keiko (Marketing Excellence, Japan)
Katsutoshi, Yada (Kansai University, Japan)
6. Organizer's contact information
*** address your submission and inqueries here please
Yukio OHSAWA,
- Associate Professor, Graduate School of Systems Management,
University of Tsukuba
- Researcher of TOREST, Japan Science and Technology Corporation
Address: GSSM, University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku
Tokyo 112-0012 Japan
Tel:+81-3-3942-7141, Fax: +81-3-3942-6829
E-mail: osawa@gssm.otsuka.tsukuba.ac.jp