MSDM 2014 - International Workshop on Multiagent Sequential Decision Making Under Uncertainty

The MSDM workshop focuses on principled sequential decision making models and methods for systems of multiple agents. Over the past decade, a variety of different multiagent models and solutions have emerged for cooperative agents (e.g., the MMDP, Dec-POMDP, and MTDP) as well as for self-interested agents (e.g., the I-POMDP and POSG), under an assortment of different assumptions about agents' capabilities to communicate (e.g., Dec-MDP-Com, COM-MTDP), observe (e.g., Dec-MDP) and influence other agents (e.g., TI-Dec-MDP, ND-POMDP). Often, these models are associated with high computational complexity, which has driven researchers to develop multiagent planning and learning methods that exploit structure in agents' interactions, methods geared towards efficient approximate solutions, and decentralized methods that distribute computation among the agents. The purpose of this workshop is to bring together researchers working in relevant topics to present and discuss new developments, identify recent research trends, develop consensus on evaluation methodologies, and establish important directions and goals for further research and collaboration. Further, we hope that these active discussions and collaborations will help us to overcome the challenges of successfully applying MSDM methods to real-world problems in security, sustainability, public safety, health care and others.