Loading ...
Sorry, an error occurred while loading the content.

CFP - MSDM 2012: Workshop on Multiagent Sequential Decision Making Under Uncertainty

Expand Messages
  • Akshat Kumar
    ================================================================= CALL FOR PAPERS AAMAS 2012 Workshop Multiagent Sequential Decision Making Under Uncertainty
    Message 1 of 1 , Jan 3, 2012
    • 0 Attachment
      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 decade.

      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 directions

      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 papers.

      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
    Your message has been successfully submitted and would be delivered to recipients shortly.