[robotics-worldwide] CFP - MSDM 2012: Workshop on Multiagent Sequential Decision Making Under Uncertainty

Akshat Kumar akshat at cs.umass.edu
Tue Jan 3 17:25:49 PST 2012

     	  	       	  CALL FOR PAPERS
                     	AAMAS 2012 Workshop
   Multiagent Sequential Decision Making Under Uncertainty (MSDM)

The Seventh Workshop in the MSDM series
June 4 or 5, 2012
Valencia, Spain

In sequential decision making, an agent's objective is to choose actions, based 
on its observations of the world, in such a way that it expects to optimize its 
performance measure over the course of a series of such decisions. In 
environments where action consequences are non-deterministic or observations 
incomplete, Markov decision processes (MDPs)and partially observable MDPs 
(POMDPs) serve as the basis for principled approaches to single-agent 
sequential decision making. Extending these models to systems of multiple 
agents has become the subject of an increasingly active area of research over 
the past decade and a variety of models have emerged (e.g., the MMDP, 
Dec-POMDP, MTDP, I-POMDP, and POSG). The high computational complexity of these 
models has driven researchers to develop multiagent planning and learning 
methods that exploit the structure present in agents' interactions, methods 
that provide efficient approximate solutions, and methods that distribute 
computation among the agents.

The MSDM workshop serves several purposes. The primary purpose is to bring 
together researchers in the field of MSDM to present and discuss new work and 
preliminary ideas. Moreover, we aim to identify recent trends, to establish 
important directions for future research, and to discuss some of the topics 
mentioned below such as challenging application areas (e.g., cooperative 
robotics, distributed sensor and/or communication networks, decision support 
systems) and suitable evaluation methodologies. Finally, a goal of the workshop 
is to make the field more accessible to newcomers, by seeking to bring order in 
the large number of models and methods that have been introduced over the last 


Multiagent sequential decision making comprises (1) problem representation, (2) 
planning, (3) coordination, and (4) learning. The MSDM workshop addresses this 
full range of aspects. Topics of particular interest include:

- Challenging conventional assumptions
   ...model specification: where do the models come from?
   ...what is an appropriate level of abstraction for decision making?
- Novel representations, algorithms and complexity results
- Comparisons of algorithms
- Relationships between models and their assumptions
- Decentralized vs. centralized planning approaches
- Online vs. offline planning
- Communication and coordination during execution
- Dealing with...
   ...large numbers of agents
   ...large numbers of / continuous states, observations and actions
   ...long decision horizons.
- (Reinforcement) learning in partially observable multiagent systems
- Cooperative, competitive, and self-interested agents
- Application domains
- Benchmarks and evaluation methodologies
- Standardization of software
- High-level principles High-level principles in MSDM: past trends and future 

Important Dates

February 28, 2012  - Paper submission due (strict)
March 27, 2012     - Notification of Acceptance
April 10, 2012     - Camera-ready copy submission due
June 4 or 5, 2012  - Workshop

Submission instructions

Authors are encouraged to submit papers up to 8 pages in length, as per the 
instructions on the workshop homepage: 
http://gaips.inesc-id.pt/~switwicki/msdm2012/. Each submission will be reviewed 
by at least two Program Committee members. The review process will be 
"single-blind"; thus authors do not have to remove their names when submitting 

Organizing Committee
Prashant Doshi        University of Georgia
Stefan Witwicki       INESC-ID, Instituto Superior Técnico / GAIPS
Jun-young Kwak        University of Southern California
Frans A. Oliehoek     MIT
Akshat Kumar          University of Massachusetts Amherst

Program Committee

Christopher Amato     Aptima, Inc.
Raphen Becker         Google
Daniel Bernstein      University of Massachusetts Amherst
Aurélie Beynier       University Pierre and Marie Curie (Paris 6)
Alan Carlin           University of Massachusetts Amherst
Brahim Chaib-Draa     Laval University
Georgios Chalkiadakis Technical University of Crete
François Charpillet   INRIA
Ed Durfee             University of Michigan
Alessandro Farinelli  University of Verona
Alberto Finzi         Università di Napoli
Claudia Goldman       GM Advanced Technical Center Israel
Michail Lagoudakis    Technical University of Crete
Janusz Marecki        IBM T.J. Watson Research Center
Francisco S. Melo     INESC-ID Lisboa
Hala Mostafa          BBN Technologies
Abdel-Illah Mouaddib  Universit de Caen
Enrique Munoz De Cote National Institute of Astrophysics Optics and 
Electronics, Mexico
Brenda Ng             Lawrence Livermore National Laboratory
Praveen Paruchuri     Carnegie Mellon University
David Pynadath        University of Southern California
Xia Qu                University of Georgia
Zinovi Rabinovich     Bar-Ilan University
Anita Raja            University of North Carolina at Charlott
Paul Scerri           Carnegie Mellon University
Jiaying Shen          SRI International, Inc.
Matthijs Spaan        Delft University of Technology
Katia Sycara          Carnegie Mellon University
Karl Tuyls            Maastricht University
Pradeep Varakantham   Singapore Management University
Jianhui Wu            Amazon
Makoto Yokoo          Kyushu University
Shlomo Zilberstein    University of Massachusetts Amherst

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