Dear Members,
# Apology if you received this multiply #
The extended deadline I announced last year, for the Special Issue on
Chance Discovery (Journal of New Generation Computing),
February 20, 2002.
is looming. Please do not expect an additional extension. Thank you
again for attentions to and circulations of the CFP. Each submission
is expected, but not strictly required to be as short as 10 pages of
Springer/Ohmsha.
Yukio Ohsawa
- - Associate Professor, Graduate School of Business Sciences,
University of Tsukuba
- - Researcher of PRESTO, Japan Science and Technology Corporation
Address: GSSM, University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku
Tokyo 112-0012 Japan
Fax: +81-3-3942-6829
E-mail: osawa@gssm.otsuka.tsukuba.ac.jp
http://www.gssm.otsuka.tsukuba.ac.jp/staff/osawa/ChanceDiscovery.html
************ Call for Papers ************
New Generation Computing (Ohmsha Ltd. and Springer Verlag) welcomes
contributions for a special issue "Chance Discovery," edited by
Yukio Ohsawa and Akinori Abe (planned for Vol.21, No.1, Nov 2002).
[The Scope of Chance Discovery]
A "chance" here means an event or a situation with significant impact
on human decision making -- a new event/situation that can be conceived
either as an opportunity or as a risk. The "discovery" of a chance is
to become aware of and to explain the significance of a chance,
especially if the chance is rare and its significance is unnoticed.
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 surviving in 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 in the near future. The
discovery of new opportunities might be more beneficial than reliance
on past frequent success -patterns (usually used in prediction methods),
because they are not known yet by oneself or 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 a 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 special issue of New Generation Computing Journal is intended to
bring together studies from artificial intelligence, human-computer
interaction, social and cognitive sciences, marketing researches, risk
management, knowledge discovery and data mining, and other related
domains, for presenting breakthroughs to real-world chance discoveries.
[Relevant Areas]
We welcome submissions of research papers on having human/agents/robots
discover chances, e.g. (not restricted to),
- - - Leading opinions in chat rooms or BBS,
- - - Keywords in documents, indicating significantly beneficial directions for
activities in the real human society
- - - Agents, robots, and human acting in dynamic environments
- - - Active planning of agents
- - - New keywords on the World-Wide Web which show attractive future trends
- - - New behaviors of people which might lead to social impact
- - - Anomalies with significant impact on the economy
- - - New products worth to promote sales
- - - Potential customers to send advertising mails
- - - Risks due to side-effects of a new drug
- - - Signs of great earthquakes in the future
>From theoretical viewpoints, relevant topics as
- - - Theories for Chance Discovery
- - - Theories on Innovations and their Diffusion
- - - Generic methods for Chance Discovery, etc.
- - - Complex systems, e.g., chaos, nonlinear physics, where a small cause
results in a great effect
- - - Statistic theories and applications of the extremals
- - - Logical foundations for Chance Discovery
are welcomed.
Topics from information visualization and other human-information
interaction designs, for aiding human awareness and discovery of chances,
will be regarded as very significant submissions, too. Please keep in
mind that editors eagerly desire submissions which help editors discover
new topics relevant to chance discovery.
[Instructions for Submission]
* Submission Deadline of Papers: *** February 20, 2002 ***
Please send a paper (in English) following author's instructions in
http://www.ohmsha.co.jp/ngc/.
Style files are available from this instruction page. For a template,
please see sample in
http://www.gssm.otsuka.tsukuba.ac.jp/staff/osawa/sample.tex.
The paper submission should not exceed ten pages in this format.
In submission, please send
- three hard copies to the following post address, or
- send an electronic version by e-mail (.ps or .pdf) to the e-mail
address below.
[Contact Information]
Yukio OHSAWA, Guest Editor of the Special Issue on Chance Discovery,
New Generation Computing (Ohmsha Ltd., and Springer Verlag)
Address: GSSM, University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku Tokyo
112-0012 Japan
Fax: +81-3-3942-6829
E-mail: osawa@gssm.otsuka.tsukuba.ac.jp
* All manuscripts will be reviewed by editors, guest editors and their
collaborators.
* Notification of acceptance or request for revision will be made by
May 31, 2002.
* The final version of each accepted manuscript is due by July 30,
2002.
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