@Misc{lsmas2006csc,
author = {R. T. Maheswaran and C. M. Rogers and R. Sanchez and P. Szekely and P. Chen},
title = {Scaling in Domains with Uncertainty: Criticality-Sensitive Coordination},
howpublished = {In the 5th International
Joint Conference on Autonomous Agents and Multiagent Systems. Workshop on
Massively Multiagent Systems/Large-Scale Multiagent Systems},
month = {May},
year = {2006},
abstract = {We consider a team of agents that are required to coordinate
their actions in order to maximize a global objective.
Our domains are characterized by uncertainty, dynamism,
and distributed information. Determining appropriate actions
becomes quite difficult, especially as the number of
agents and the coupling between them increases. This paper
discusses five contributions toward the goal of coordinating
agents in large-scale settings: (i) an approach based
on identifying the criticality of various activities with respect
to their effect on the team reward; (ii) an architecture
and implemented coordinator agent that can execute this
approach in a distributed manner; (iii) a vast suite of visualization
tools that considerably aid the challenging task of
monitoring and debugging; (iv) metrics for evaluating system
performance in such settings, and (v) a proof of concept
of our approach on both focused and randomly-generated
experimental domains.},
url = {lsmas06paper.pdf},
note = {Hakodate, Japan}
}

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