Guest Editors and the KES journal welcome your contributions for 
a Special Issue on Chance Discovery.

[THE SCOPE]
In a number of different areas, researchers in Artificial Intelligence
became recently interested in events or situations that affect human
decision making in that they are viewed as opportunities or risks. A
chance is such a rare event or a situation, which provides opportunities 
or risks for human decision making or problem solving. Noticing such
an event is described as discovery of a chance. Therefore Chance Discovery 
can be characterized in terms of becoming aware of a chance, and explaining 
its significance.
The essential aspect of a chance is that it can be the seed of new and
significant changes in the near future. In this issue, submissions are
encouraged to contribute to topics where an intelligent system achieving 
chance discovery is realized or discussed. The ability of a system to
discover chances builds a significant dimension to intelligence. 

We are expecting contributions of theories and methodologies on
* Identifying rare or novel events
* Becoming aware of significant events
* Predicting future trends
* Integrating knowledge of significant events with existing knowledge
* Explaining and evaluating events where decision-makers still have to 
  become aware of its significance (hidden event), and
* Communication for Scenario Development.
Of particular interest are 
* The analysis of human behavior and complex systems 
* The analysis of interactions between individuals or groups and the
  environment,  
* The development of intelligent support tools for Chance Discovery
  based on such interaction analysis 
* The relation between Chance Discovery and Creativity
* The development of the logical foundations of Chance Discovery, and
* Identifying the characteristics of a chance that cut across the
  borders of a given discipline.  

However, we do not restrict your submissions to these expectable categories. 
Contributions may be made from any area of Information Sciences such as 
Artificial Intelligence, Creativity Research, Economics, Business 
Administration, Risk Management, Operation Research, Linguistics, Mathematics, 
Physics, Bio-sciences and Psychology.  

Furthermore we invite applications of these theories and
methods. Examples of previous applications include 
*	intelligent Web design and Web search, 
*	computer-based training
*	team-work support. 
*	creativity support
*	product design, 
*	sales support, marketing,
*	side-effects of new drugs, 
*	forecasting, 
*	medical treatment, 
Submissions with an emergent new applications and methods are highly welcome.

[INSTRUCTIONS FOR SUBMISSION]
* Submission: All the papers must be submitted through the online
  paper submission (PROSE) system found on the journal web site, 
  http://www.kesinternational.org/journal/submit.php 
  so that they can go through the normal review process. Authors must
  submit the summary to PROSE, and carry the following words at the
  top "Paper submitted for a special edition on Intelligent Systems
  with Chance Discovery."

* Format: Papers should be written to correspond to the format
  instructions contained on the Journal web site. PDF format is the
  most highly encouraged.  Editable word processor files in MS Word,
  Latex, or other acceptable format will be required for final papers
  to enable type-setting to be carried out by the publishers. 
  Try not to exceed 12 pages. This is not strict, but an overlength
  might be reflected to rejection. 

[IMPORTANT DATES]
Submission: 1st June 2006 (This schedule is strict: Do not expect an extension!)
Notification of Acceptance: 1st Sept 2006
Submission of the Final Version 1st Oct 2006
Publication: Under arrangement (Late 2006 or January 2007)

[CONTACT FOR INQUIRIES]
Prof. Yukio Ohsawa
Department of Quantum Engineering and Systems Engineering, School of
Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo,
113-8656 JAPAN 
Dr. Akinori Abe
ATR Intelligent Robotics & Communication Labs. 2-2-2, Hikaridai,
Seika-cho Soraku-gun, Kyoto 619-0288 JAPAN