Your submission deadline came to be extended for the
Special Issue on Chance Discovery from Journal of New Generation
Computing. The original deadline was 31st Dec, and the new is
February 20, 2002.
This is the decision of the publisher, for publishing regular volumes
to include papers accepted for non-special issues. Thank you very
much for attentions to and circulations of the CFP.
February 20, 2002.
This is the decision of the publisher, for publishing regular volumes to include papers accepted for non-special issues. Thank you very much for attentions to and circulations of the CFP.
The brand new version of CFP!!
*** 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 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), - 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 Chace 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: *** 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 hardcopies 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: firstname.lastname@example.org