CALL FOR PAPERS
KES2006 invited session on Chance Discovery
9, 10 & 11 October 2006
Bournemouth International Conference Centre
Exter Road, Bournemouth, BH2 5BH, UK
Session Themes: [Chance Discovery: Genaration, evaluation, and
suggestion of a Chance.]
Session Subtitle: Chance: logical formalisation VS human factors.
Chance Discovery is the discovery of chance, rather than discovery
by chance. A ``chance" here means a new event/situation that can be
conceived either as an opportunity or as a risk in the future.
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 simply predicting the future.
This session will discuss several problems in Chance Discovery. As
shown, Chance Discovery is a research to study how to discover
rare or novel events causing potentially significant situation. Although
the event itself could not be significant. A chance might be
computationally or manually discovered.
Thus, advanced computational techniques such as abduction and
induction (including data mining) could be applied to Chance Discovery.
In addition, personalised and very traditional (sometimes, manual)
data mining method could also be effective in Chance Discovery.
We have discussed limitations of conventional data mining methods.
And many new computational methods, and concepts and mechanisms of
human discovery have been proposed.
In the contexts, we have discussed how to discover and suggest events
causing significant but hidden events.
Our common understandings are that
we deal with events in the real world, therefore, we
need to have knowledge about movement in society, behaviour of people,
as well as computational methods.
In addition, it is important to discuss effective chance evaluation,
selection, and suggestion methods.
we would like to discuss from computational, cognitive, sociological,
economical and psychological viewpoints. In addition, we would like to
discuss relationship and integration of computational and human
aspects of Chance Discovery.
Of course, other viewpoints are also welcome!
Topics to be discussed (will not be restricted to):
- Analysis of human behaviour.
- Analysis of complex systems (society, community etc.).
- Applications of Chance Discovery.
- Characterization of ``Chance.''
- Logical foundations for Chance Discovery.
- Theories and methodologies to discover rare or novel events.
- Theories and methodologies to foretell next trends.
- Theories and methodologies to make aware of significant events.
- Theories and methodologies for an evaluation and selection of chance.
- Models and methodologies for effective suggestion of chance.
- Relationship between computational and manual methods.
- Integration of computational and manual methods.
For formatting information, please see
Springer Information for LNCS Authors
(See ``Proceedings and Other Multiauthor Volumes - Using Microsoft
Please note that papers should be no longer than seven pages in LNCS
format. Papers longer than this will be subject to an additional page
charge. All oral and poster papers must be presented by one of the
authors who must register and pay fees.
Submissions are invited on previously unpublished research.
The papers can be submitted to:
- Akinori Abe
- ATR (ave@ultimaVI.arc.net.my)
- 1 March, 2006: Submission deadline of papers
- 1 April, 2006: Notification of acceptance of papers.
- 29 April, 2006: Deadline for camera-ready papers
- by 1 June 2006: All presenting authors in the Invited Session must
register with payment for their papers to appear in the proceedings.
- 9,10 or 11 October, 2006: Session
All submissions will be reviewed on the basis of relevance, originality,
significance, soundness and clarity. At least three referees will review
each submission independently.
All accepted papers will be published in the KES2006 Proceedings (LNCS/LNAI,
ATR Media Information & Science Labs.
2-2-2, Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288 JAPAN
Faculty of Science and Engineering, Chuo University
1-13-27 Kasuga, Bunkyo-ku, Tokyo 112-8551 JAPAN
The Univeristy of Tokyo
7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656 JAPAN
Previous invited sessions in KES: