JSAI Annual conferences have been organized since 1987 to enhance studies on artificial intelligence, mainly of Japanese domestic researchers, with sessions mostly made of presentations/discussions in Japanese.
The presentations in these series of events became the seeds of various later success of basic and applied studies, not only in the area of AI but also to authorized and newly recognized relevant areas, e.g. successful business applications, robot soccer games etc.
JSAI2001 will be the first JSAI conference holding international sessions and international workshops, co-located with the main conference. This aims at having people looking at various current AI studies/trends from various aspects stimulate each other, in an environment where new meaningful directions are desired by attendants.
Workshops are intended to focus attentions to specific research issues/ topics, and to informal and exciting presentations and discussions on problems important even though not authorized, and ideas interesting even though not yet established. Rather than accepting matured results, we would like to supply places to make new ideas and new meaningful directions grow.
A "chance" here means a new event/situation that can be conceived either as an opportunity or as a risk. The "discovery" of chances is of crucial importance since it may have a significant impact on human decision making. 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 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 is the near future. The discovery of new opportunities might be more beneficial than reliance on past frequent success-patterns, because they are not known yet by 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 human 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 workshop is intended to bring together researchers from artificial intelligence, human-computer interaction, social and cognitive sciences, risk management, knowledge discovery and data mining, and other related domains, for stimulating discussions on chance discovery.We especially welcome research papers on identifying and explaining
Please send a paper in English no longer than 6000 words (counting each figure as 300 words).
Electronic (e-mail) submissions of no more than ten pages, in PDF, PS or DOC are preferable. But this is not a strict rule.