Call for Papers

Special Issue of Information Sciences on Chance Discovery

Guest Editors: Ruediger Oehlmann and Qingfu Zhang

Information Sciences (Elsevier Publisher) welcomes contributions for a
special issue 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.

In this sense, the discovery of a chance is emphasized in contrast to
discovery by chance. The essential aspect of a chance is that it can
be the seed of new and significant changes in the near
future. Generally this means that being aware of a rare or novel
important event without ignoring it as noise is essential for future
success.

Therefore we invite contributions of theories and methodologies on
Identifying rare or novel events
Becoming aware of significant events
Predict 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).
Communication for Scenario Development.

These contributions may be made from but not restricted to
perspectives that are informed by any area of Information Sciences
such as Artificial Intelligence, Creativity Research, Economics,
Business Administration, Operation Research, Linguistics, Mathematics,
Physics, Bio-sciences and Psychology. Of particular interest are
the analysis of human behaviour 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.

Therefore submissions are encouraged that cut across the borders of a
given discipline. This may involve perspectives from different fields
or an integration of theories and applications.

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,
side-effects of new drugs,
forecasting,
marketing,

All these applications have in common that decision-makers became
aware of the significance of a rare event and did not ignore it as
noise. They rather used it to create new trends that were more
effective than predictions, which were based exclusively on past
observational patterns.

Instructions for preparing the submission.
Please send a paper (in English) following the Guide to Publishing
with Elsevier at http://authors.elsevier.com/. Please note that papers
should be prepared using LaTeX and should not exceed 15 pages in this
format. Authors who are not able to use this system should contact the
guest editors in the first instance after consulting the information
at the Elsevier Web site.

Useful information can also be found at
Information Sciences:
http://www.elsevier.com/wps/find/journaldescription.cws_home/505730/description#description

Consortium for Chance Discovery (in Japanese):
http://www.chancediscovery.com/

Consortium for Chance Discovery, European Office:
http://technology.kingston.ac.uk/cis/people/Ruediger/chanceDiscovery/
This site will also provide up-to-date information about the progress in
preparing this special issue.

European Workshop on Chance Discovery 2004 - Post Conference Website
http://technology.kingston.ac.uk/cis/people/Ruediger/ewcd/

Important Deadlines:

Submission:				31st January 2005
Notification of Acceptance:		30th April 2005
Submission of the Final Version 	30th June 2005

Contact Address:

Dr. Ruediger OEHLMANN
Senior Lecturer
Cognitive Science Laboratory
School of Computing and Information Systems
Kingston University London
Penrhyn Road
Kingston Upon Thames
KT1 2EE
UK
Phone: +44 20 8547 2000 Ext.: 62676
Fax: +44 20 8547 7972
email: R. Oehlmann@Kingston.ac.uk