=== CfP: Sequential Decision Making for Intelligent Agents === AAAI Fall Symposium November 12–14, 2015 Arlington, Virginia http://masplan.org/sdmia
*Extended* submission deadline: July 22, 2015 Sequential decision making under uncertainty (SDM) is a powerful paradigm for probabilistic planning. The emergence of various models that analyze SDM under different sets of assumptions, e.g., as single- and multi-agent Markov Decision Processes (MDPs) and Partially Observable MDPs (POMDPs), has gone hand in hand with the split of this field into many subareas, each with a quite distinct research community. The Sequential Decision Making for Intelligent Agents (SDMIA) Fall Symposium aims to bring the researchers of computational sequential decision making under uncertainty together, in order to facilitate the cross-pollination of ideas across these communities and thus accelerate the development of the larger field. The symposium will have ample time for discussions and interaction. Furthermore, we intend to reflect on the current state of the field, both in terms of theory and applications, and, more importantly, ways to shape its future. We invite submissions, both original as well as previously published, dealing with the general topic of sequential decision making under uncertainty. Topics of particular interest include, but are not limited to: - Novel insights in modeling sequential decision making (SDM) - Recent advances in solution methods - Benchmark problems and benchmarking - Real-world applications and application domains - Model specification and induction - Methods for transferring solutions from one model to another We particularly encourage contributions that have the potential to make an impact on different sub-fields of SDM, but this is not a requirement. Submission instructions can be found on our website: http://masplan.org/sdmia Organizing Committee Matthijs Spaan (chair), Delft University of Technology Frans Oliehoek, University of Amsterdam / University of Liverpool Christopher Amato, University of New Hampshire Andrey Kolobov, Microsoft Research Pascal Poupart, University of Waterloo _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai