@conference {1506019,
	title = {Towards Optimal Planning for Distributed Coordination Under Uncertainty in Energy Domains },
	booktitle = {Workshop on Agent Technologies for Energy Systems (ATES) at AAMAS 2011},
	year = {2011},
	abstract = {Recent years have seen a rise of interest in the deployment of multiagent systems in energy domains that inherently have uncertain
and dynamic environments with limited resources. In such domains, the key challenge is to minimize the energy consumption
while satisfying the comfort level of occupants in the buildings under uncertainty (regarding agent negotiation actions). As human
agents begin to interact with complex building systems as a collaborative team, it becomes crucial that the resulting multiagent
teams reason about coordination under such uncertainty to optimize
multiple metrics, which have not been systematically considered in
previous literature. This paper presents a novel multiagent system
based on distributed coordination reasoning under uncertainty for
sustainability called SAVES. There are three key ideas in SAVES:
(i) it explicitly considers uncertainty while reasoning about coordination in a distributed manner relying on MDPs; (ii) human behaviors and their occupancy preferences are incorporated into planning
and modeled as part of the system; and (iii) the influence of various
control strategies for multiagent teams is evaluated on an existing
university building as the practical research testbed with actual energy consumption data. We empirically show the preliminary results that our intelligent control strategies substantially reduce the
overall energy consumption in the actual simulation testbed compared to the existing control means while achieving comparable
average satisfaction level of occupants.},
	author = {Kwak, Jun-young and Varakantham, Pradeep and Tambe, Milind and Laura Klein and Farrokh Jazizadeh and Geoffrey Kavulya and Burcin B. Gerber and David J. Gerber}
}
