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With apologies for multiple copies.
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Call For Papers
Special Issue of AI Communications on Constraint Programming for
Planning and Scheduling
http://4c.ucc.ie/~carchrae/wiki/index.php?n=Main.AIComCfp
Scope and Topic
Constraint programming is a powerful technology for expressing and
reasoning about real-world planning and scheduling problems. It permits
a wide range of complex constraints, such as resource constraints,
temporal constraints and sequencing constraints, to be compactly
specified and efficiently reasoned about. The effective solution of
planning and scheduling problems using constraint programming requires
the use of ideas from a wide range of areas from AI and OR (including
knowledge representation, temporal reasoning, reasoning under
uncertainty, constraint relaxation and decomposition techniques).
We welcome submissions on constraint programming approaches to planning
and scheduling problems, including theoretical, experimental and applied
work. Topics of interest include, but are not limited to:
* Global Constraints
* Hybrid Methods
* New Applications / Deployed Applications
* Local Search
* Heuristic Search Techniques
* Scheduling v Planning
* Scheduling + Planning
* Sensitivity Analysis
* Solution Robustness
* Uncertain & Dynamic Problems
* Optimization & Multiple Objectives
* Preferences
* Mixed-Initiative Planning & Scheduling
* Distributed/multi-agent Planning & Scheduling
* Spatial, Temporal, and/or Resource Constraints
Paper Submission
Articles should be prepared according to the AI Communications
instructions: http://aicom.web.cse.unsw.edu.au/cfp.html
Note that articles should be submitted to [EMAIL PROTECTED] rather
than the email address in the AI Communications instructions.
Important Dates
Article Submission: 1 December, 2005
Author Notification: 21 Feburary, 2006
Camera Ready: 1 April, 2006
For more information see:
http://4c.ucc.ie/~carchrae/wiki/index.php?n=Main.AIComCfp
Editors
Chris Beck, University of Toronto, Canada
Tom Carchrae, 4C, University College Cork, Ireland
Andrew Davenport, IBM TJ Watson, USA
Emmanuel Hebrard, UNSW, Sydney and NICTA, Australia
Toby Walsh, UNSW, Sydney and NICTA, Australia
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