@conference {1508528,
	title = {RIAACT: A robust approach to adjustable autonomy for human-multiagent teams },
	booktitle = {The Seventh International Conference on Autonomous Agents and Multiagent Systems},
	year = {2008},
	abstract = {When human-multiagent teams act in real-time uncertain domains,
adjustable autonomy (dynamic transferring of decisions between
human and agents) raises three key challenges. First, the human
and agents may differ significantly in their worldviews, leading to
inconsistencies in their decisions. Second, these human-multiagent
teams must operate and plan in real-time with deadlines with uncertain duration of human actions. Thirdly, adjustable autonomy in
teams is an inherently distributed and complex problem that cannot be solved optimally and completely online. To address these
challenges, our paper presents a solution for Resolving Inconsistencies in Adjustable Autonomy in Continuous Time (RIAACT).
RIAACT incorporates models of the resolution of inconsistencies,
continuous time planning techniques, and hybrid method to address
coordination complexity. These contributions have been realized in
a disaster response simulation system.},
	author = {Nathan Schurr and Janusz Marecki and Tambe, Milind}
}
