Dear Members, Chance Discovery has been progressing to organize workshops, special and regular sessions in relevant societies. The outline has been reflected to http://www.gssm.otsuka.tsukuba.ac.jp/staff/osawa/ChanceDiscovery.html. Here you can find near-future events as well on Chance Discovery.
BTW, the 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. Thank you very much for attentions to and circulations of the CFP. 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: [EMAIL PROTECTED] ************ 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), - - 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 - - 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: [EMAIL PROTECTED] * 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.
