WITH APOLOGIES FOR MULTIPLE POSTINGS
The deadline has just passed, but there are still places on the
forthcoming AAAI Fall Symposium on Chance Discovery: The Discovery and
Management of Chance Events. If you are interested to make a
presentation or to participate in a panel discussion, please send an
email to the Chair, Yukio Ohsawa, at the address below.
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American Association for Artificial Intelligence (AAAI)
Fall Symposium Series 2002
Chance Discovery: The Discovery and Management of Chance Events
November 15-17, 2002
Sea Crest Conference Center,
North Falmouth, Massachusetts USA
Chance events are rare or novel events with potentially significant
consequences for decision-making, i.e., events to be conceived as a risk
or an opportunity. This symposium will be devoted to the questions: How
may we predict, identify or explain chance events and their
consequences? ("chance discovery") and How may we assess, prepare for or
manage them? ("chance management").
An agent -- human, robot or software agent -- engaged in planning needs
to adopt a view of the future: In order to decide goals, and to decide
the best sequence of actions to achieve these goals, how can an agent or
agents discover rare or novel events and forecast their consequences?
The consequences of such events may significantly impede or facilitate
the achievement of agents' goals, but their unlikeness makes them
difficult to predict or explain by methods that use historical data or
pattern-matching.
One can think of chance discovery as a search of maximum or minimum of a
surface whose shape is unknown, in a space whose dimensions may also be
unknown. The focus on the agent and its environment as one interacting
system can be another viewpoint. This symposium will seek to bring
together members of the AI community with people from various relevant
domains listed below, to create and share approaches to chance
discovery/management. Topics of interest include, but are not restricted
to:
Agent systems and planning with emergent behaviors
Human-computer or agent-environment interactions
Complex systems
WWW Awareness
Knowledge discovery and data mining
Statistics and data analysis
Information retrieval
Risk analysis, prediction, assessment and management
Marketing theory and demand forecasting for innovative products
Opportunity identification in business
Social trends analysis
Social psychology
Natural disaster prediction and management
Management and decision sciences
Operations research
Philosophy of forecasting and risk
Hypothesis discovery in scientific theories.
Submissions:
Potential participants are invited to submit a paper of between 1,500
and 6000 words, proposing questions, reporting work in progress,
discussing applications or providing a theoretical contribution. Please
submit in PostScript format to Yukio Ohsawa:
osawa@gssm.otsuka.tsukuba.ac.jp.
* If PostScript format is not available in your environment, please ask
Dr Ohsawa if your submission is acceptable, before submission.
Important Dates:
Submission: 11 May
Notification: 14 June
Final papers due: 6 September
Symposium: 15-17 November, 2002.
Information can also be obtained from the symposium web-site:
http://www.miv.t.u-tokyo.ac.jp/~matumura/FSS02/
or the AAAI Symposium web-site:
http://www.aaai.org/Symposia/Fall/2002/fss-02.html
Organizing Committee:
Yukio Ohsawa, University of Tsukuba (osawa@gssm.otsuka.tsukuba.ac.jp)
(Chair)
Simon Parsons, University of Liverpool (s.d.parsons@csc.liv.ac.uk)
Peter McBurney, University of Liverpool (p.j.mcburney@csc.liv.ac.uk).
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Peter McBurney
Department of Computer Science
University of Liverpool
Liverpool L69 7ZF
U.K.
Tel: + 44 151 794 6760
Email: P.J.McBurney@csc.liv.ac.uk
Web page: www.csc.liv.ac.uk/~peter/
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