[robotics-worldwide] CFP: MSDM @ AAMAS 2013

Brenda Ng brenda.ng at gmail.com
Wed Dec 12 23:01:31 PST 2012

                                CALL FOR PAPERS
                        The 8th Workshop on
  Multiagent Sequential Decision Making Under Uncertainty (MSDM)
               (to be held at AAMAS 2013)

 May 6 or 7, 2013
St. Paul, Minnesota, USA

 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., 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. Lastly, MSDM seeks to bring researchers from
other AAMAS communities together in order to facilitate consensus among
different models and methods, thus making the field more accessible to
new researchers and practitioners.

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
- Computational issues involving...
  ... large numbers of agents
  ... large numbers of 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 in MSDM: past trends and future directions

 Important Dates
February 8, 2013    - Abstract submission due
February 12, 2013  - Paper submission due
March 8, 2013         - Notification of Acceptance
March 12, 2013       - Camera-ready submission due
May 6 or 7, 2013     - Day of Workshop

 Submission Instructions
Authors are encouraged to submit papers up to 8 pages in length, as per the
instructions on the workshop homepage:
Each submission will be reviewed by at least three Program Committee
members. The review process will be "single-blind"; thus authors do not
have to remove their names when submitting papers.

 Organizing Committee
Prashant Doshi  / University of Georgia
Jun-young Kwak / University of Southern California
Brenda Ng / Lawrence Livermore National Laboratory
Frans A. Oliehoek / Maastricht University
Stefan Witwicki / INESC-ID & Instituto Superior Técnico

 Program Committee
 Martin Allen / University of Wisconsin - La Crosse
Christopher Amato / MIT
Bikramjit Banerjee / University of Southern Mississippi
Raphen Becker / Google
Daniel Bernstein / Fiksu, Inc.
Aurélie Beynier / University Pierre and Marie Curie (Paris 6)
Alan Carlin / University of Massachusetts
Georgios Chalkiadakis / Technical University of Crete
François Charpillet / INRIA-Loria
 Prashant Doshi / University of Georgia
 Ed Durfee / University of Michigan
Alberto Finzi / Università di Napoli
Piotr Gmytrasiewicz / University of Illinois Chicago
Claudia Goldman / GM Advanced Technical Center Israel
Akshat Kumar / IBM Research, India
 Jun-young Kwak / University of Southern California
 Michail Lagoudakis / Technical University of Crete
Francisco Melo / Instituto Superior Técnico & INESC-ID
Hala Mostafa / BBN Technologies
Abdel-Illah Mouaddib / Universit de Caen
Enrique Munoz de Cote / National Inst. of Astrophysics Optics and
 Brenda Ng / Lawrence Livermore National Laboratory
 Frans Oliehoek / Maastricht University
 Simon Parsons / City University of New York
Praveen Paruchuri / Carnegie Mellon University
David Pynadath / Institute for Creative Technologies, USC
Zinovi Rabinovich / Mobileye
Paul Scerri / Carnegie Mellon University
Jiaying Shen / Nuance Communications
Matthijs Spaan / Delft University of Technology
Peter Stone / University of Texas at Austin
   Stefan Witwicki / INESC-ID & Instituto Superior Técnico
    Jianhui Wu / Amazon
 Ping Xuan
Makoto Yokoo / Kyushu University
Chongjie Zhang / University of Massachusetts
Shlomo Zilberstein / University of Massachusetts

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