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Category MSDM 2012
Deadline: March 06, 2012 | Date: June 05, 2012
Venue/Country: Valencia, Spain
Updated: 2012-03-03 12:02:57 (GMT+9)
In sequential decision making, an agent's objective is to chooseactions, based on its observations of the world, in such a way that itexpects to optimize its performance measure over the course of aseries of such decisions. In environments where action consequencesare non-deterministic or observations incomplete, Markov decisionprocesses (MDPs)and partially observable MDPs (POMDPs) serve as thebasis for principled approaches to single-agent sequential decisionmaking. Extending these models to systems of multiple agents hasbecome the subject of an increasingly active area of research over thepast decade and a variety of models have emerged (e.g., the MMDP,Dec-POMDP, MTDP, I-POMDP, and POSG). The high computational complexityof these models has driven researchers to develop multiagent planningand 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 tobring together researchers in the field of MSDM to present and discussnew work and preliminary ideas. Moreover, we aim to identify recenttrends, to establish important directions for future research, and todiscuss some of the topics mentioned below such as challengingapplication areas (e.g., cooperative robotics, distributed sensorand/or communication networks, decision support systems) and suitableevaluation methodologies. Finally, a goal of the workshop is to makethe field more accessible to newcomers, by seeking to bring order inthe large number of models and methods that have been introduced overthe last decade.TopicsMultiagent sequential decision making comprises (1) problemrepresentation, (2) planning, (3) coordination, and (4) learning. TheMSDM workshop addresses this full range of aspects. Topics ofparticular 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 andfuture directionsImportant DatesMarch 6, 2012 - Paper submission dueMarch 27, 2012 - Notification of AcceptanceApril 10, 2012 - Camera-ready copy submission dueJune 4 or 5, 2012 - WorkshopSubmission instructionsAuthors are encouraged to submit papers up to 8 pages in length, asper the instructions on the workshop homepage:http://gaips.inesc-id.pt/~switwicki/msdm2012/
. Each submission will bereviewed by at least two Program Committee members. The review processwill be "single-blind"; thus authors do not have to remove their nameswhen submitting papers.Organizing CommitteePrashant Doshi University of GeorgiaStefan Witwicki INESC-ID, Instituto Superior Técnico / GAIPSJun-young Kwak University of Southern CaliforniaFrans A. Oliehoek Maastricht UniversityAkshat Kumar University of Massachusetts AmherstProgram CommitteeChristopher Amato Aptima, Inc.Raphen Becker GoogleDaniel Bernstein University of Massachusetts AmherstAurélie Beynier University Pierre and Marie Curie (Paris 6)Alan Carlin University of Massachusetts AmherstBrahim Chaib-Draa Laval UniversityGeorgios Chalkiadakis Technical University of CreteFrançois Charpillet INRIAEd Durfee University of MichiganAlessandro Farinelli University of VeronaAlberto Finzi Università di NapoliClaudia Goldman GM Advanced Technical Center IsraelMichail Lagoudakis Technical University of CreteJanusz Marecki IBM T.J. Watson Research CenterFrancisco S. Melo INESC-ID LisboaHala Mostafa BBN TechnologiesAbdel-Illah Mouaddib Universit de CaenEnrique Munoz De Cote National Institute of Astrophysics Optics andElectronics, MexicoBrenda Ng Lawrence Livermore National LaboratoryPraveen Paruchuri Carnegie Mellon UniversityDavid Pynadath University of Southern CaliforniaXia Qu University of GeorgiaZinovi Rabinovich Bar-Ilan UniversityAnita Raja University of North Carolina at CharlottPaul Scerri Carnegie Mellon UniversityJiaying Shen SRI International, Inc.Matthijs Spaan Delft University of TechnologyKatia Sycara Carnegie Mellon UniversityKarl Tuyls Maastricht UniversityPradeep Varakantham Singapore Management UniversityJianhui Wu AmazonMakoto Yokoo Kyushu UniversityShlomo Zilberstein University of Massachusetts AmherstKeywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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