Dear Colleagues,
The following special issue of New Generation Computing (Springer and Ohmsha,
Ltd.) is calling for submissions. Please submit as many papers as possible,
and circulate the CFP to as many relevant people as possible. Please note:
almost every existing area,
- computer science, artificial intelligence, and human interface
- economy
- marketing research
- medical science
- seismology
...
has some relevance with chance discovery. The volume will be very inter-
disciplinary.
Revisions on the CFP, if any, will be come out to
http://www.gssm.otsuka.tsukuba.ac.jp/staff/osawa/ChanceDiscoveryNGC.html
Dr. Yukio OHSAWA, JSAI2001 Workshops (...finished, but still working) Chair
- 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
Fax: +81-3-3942-6829
E-mail: osawa@gssm.otsuka.tsukuba.ac.jp
*** 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. 20, No. 4, May 2001).
[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),
- - 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
- - Theories for Chance Discovery
- - Logical foundations for Chance Discovery
- - New methods for Chance Discovery etc
Topics from information visualization and other human-information interaction
designs, for aiding human awareness and discovery of chances, will also be
regarded as very significant submissions.
[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
Fax: +81-3-3942-6829
E-mail: osawa@gssm.otsuka.tsukuba.ac.jp
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