*Deadline extended to Feb 8*
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CALL FOR PAPERS
AAMAS 2009 Workshop
Multi-agent Sequential Decision-Making in Uncertain Domains
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Fourth Workshop in the MSDM series
May 11 or 12, 2008
Budapest, Hungary
http://www.eecs.harvard.edu/~seuken/msdm2009/
Sequential decision making under uncertainty is the problem an agent
faces when it seeks to maximize its performance in an environment
while making action choices based upon its observations of the
world. Decision-theoretic approaches have been used very successfully
in single-agent systems, so it is only natural to apply them to
systems with many agents. The high computational complexity of finding
optimal solutions in these multi-agent models has been a significant
barrier to applying them to complex real world problems. Much of the
work in this area relates to addressing this complexity through
exploiting problem structure like locality of interaction,
decomposition of reward and independence between the agents, and
through approximate algorithms that converge to a local optimum
instead of a global optimum.
The purpose of this workshop is to bring together researchers in the
field of sequential decision-making in stochastic multi-agent systems
to present and discuss promising new work, to discuss the
relationships between the various models in use, and to establish
important directions and goals for further research and
collaboration. This workshop will strive to develop consensus within
the community on benchmarks and evaluation methodology in order to
contrast the alternative approaches and models, and also to study the
associated trade-offs. Furthermore, we will discuss the creation of
online problem sets for testing the various algorithms to facilitate
comparison.
Possible topics include:
- Relationships between the models and their assumptions
- Algorithms for policy generation and coordination
- Comparisons of algorithms
- Distributed vs. centralized planning
- Online vs. offline planning
- Communication during policy generation
- Communication decisions during execution
- Techniques for scaling problems
- Identifying subclasses of problems and their complexity
- Cooperative and competitive agent systems
- Theoretical and empirical results
- Benchmarks and evaluation methodologies for comparing different approaches
Important Dates
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*February 8*, 2009 - Submission deadline *extended*
March 1, 2009 - Notification of Acceptance
March 10, 2009 - Final Submission Deadline
May 11 or 12, 2009 - Workshop
Submission instructions
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Authors are encouraged to submit papers up to 8 pages in length in the
AAMAS2009 format. Submissions should be uploaded in PDF form at
http://www.easychair.org/conferences/?conf=msdm2009 . Each submission
will be reviewed by at least two Program Committee members.
Organizing Committee
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Christopher Amato,
Computer Science Department, University of Massachusetts at Amherst
Janusz Marecki,
IBM T.J. Watson Research Center
Sven Seuken,
School of Engineering and Applied Sciences, Harvard University
Matthijs Spaan,
Institute for Systems and Robotics, Instituto Superior Técnico
Program Committee
-----------------
Martin Allen University of Massachusetts
Daniel Bernstein
Aurelie Beynier University Pierre and Marie Curie (Paris 6)
François Charpillet LORIA
Dmitri Dolgov University of Michigan
Prashant Doshi University of Georgia
Ed Durfee University of Michigan
Alberto Finzi University of Roma
Piotr Gmytrasiewicz University of Illinois Chicago
Robert Goldman Smart Information Flow Technologies
Sven Koenig University of Southern California
Rajiv Maheswaran University of Southern California
Abdel-Illah Mouaddib Universite de Caen
David Musliner Smart Information Flow Technologies
Frans Oliehoek University of Amsterdam
Praveen Paruchuri University of Southern California
John Phelps Smart Information Flow Technologies
David Pynadath Information Sciences Institute
Zinovi Rabinovich University of Southampton
Anita Raja University of North Carolina at Charlotte
Jeffrey Rosenschein Hebrew University
Jiaying Shen SRI International, Inc.
Milind Tambe University of Southern California
Ping Xuan Clark University
Shlomo Zilberstein University of Massachusetts
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