@conference {1510804,
	title = {Towards automated team analysis: a machine learning approach },
	booktitle = {Third international RoboCup competitions and workshop},
	year = {1999},
	abstract = {Teamwork is becoming increasingly
important in a large number of multiagent applications. With the growing
importance of teamwork, there is now an
increasing need for tools for analysis and
evaluation of such teams. We are
developing automated techniques for
analyzing agent teams. In this paper we
present ISAAC, an automated assistant
that uses these techniques to perform
post-hoc analysis of RoboCup teams.
ISAAC requires little domain knowledge,
instead using data mining and inductive
learning tools to produce the analysis.
ISAAC has been applied to all of the
teams from RoboCup{\textquoteright}97, RoboCup{\textquoteright}98,
and Pricai{\textquoteright}98 in a fully automated
fashion. Furthermore, ISAAC is
available online for use by developers of
RoboCup teams.},
	author = {T. Raines and Tambe, Milind and S. Marsella}
}
