Dear Colleagues,
If your study is relevant to behaviors of human, robots, or software
agents in dynamic environments, I am sure this special issue hits your
central interest.
Sincerely,
Yukio Ohsawa
- Associate Professor, Graduate School of Systems Management,
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
***********************************************************
******************** Call for Papers **********************
***********************************************************
http://www.gssm.otsuka.tsukuba.ac.jp/staff/osawa/ChanceDiscoveryNGC.html
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. 20, No. 4, May 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 has been 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 have not been known yet by oneself or 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 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 and manage 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),
-- 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
-- Keywords in documents, indicating significantly beneficial directions
for activities in the real human society
-- New keywords on the World-Wide Web which show attractive future trends
-- Leading opinions in chat rooms or BBS,
-- Behaviors of young people which might lead to their fatal crimes.
-- Anomalies with significant impact on economy
-- Generic methods for Chance Discovery, etc.
>From theoretical viewpoints, relevant topics as
-- Theories for Chance Discovery
-- Logical foundations for Chance Discovery
-- Complex systems, e.g., chaos, nonlinear physics, where a small cause
results in a great effect
-- Statistic theories and applications of the extremals
-- Studies on human, robot, or agent behaviors in dynamic environments
-- Knowledge management strategies for dealing with new situations
are highly welcomed.
Topics from information visualization and other human-information
interaction designs, for aiding human awareness and discovery of chances,
will be regarded as 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: *** December 31, 2001 ***
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
E-mail: osawa@gssm.otsuka.tsukuba.ac.jp (recommended)
Fax: +81-3-3942-6829
Tel: +81-3-3942-7141
* All manuscripts will be reviewed by editors, guest editors and their
collaborators.
* Notification of acceptance or request for revision will be made by
February 28, 2002.
* The final version of each accepted manuscript is due by April 30, 2002.
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