@conference {1510287,
	title = {Team coordination among distributed agents: Analyzing key teamwork theories and models },
	booktitle = {AAAI Spring Symposium on Intelligent Distributed and Embedded Systems},
	year = {2002},
	abstract = {Multiagent research has made significant progress in constructing teams
of distributed entities (e.g., robots, agents, embedded systems) that act
autonomously in the pursuit of common goals. There now exist a variety of prescriptive theories, as well as implemented systems, that can
specify good team behavior in different domains. However, each of
these theories and systems addresses different aspects of the teamwork
problem, and each does so in a different language. In this work, we
seek to provide a unified framework that can capture all of the common
aspects of the teamwork problem (e.g., heterogeneous, distributed entities, uncertain and dynamic environment), while still supporting analyses of both the optimality of team performance and the computational
complexity of the agents{\textquoteright} decision problem. Our COMmunicative Multiagent Team Decision Problem (COM-MTDP) model provides such
a framework for specifying and analyzing distributed teamwork. The
COM-MTDP model is general enough to capture many existing models
of multiagent systems, and we use this model to provide some comparative results of these theories. We also provide a breakdown of the
computational complexity of constructing optimal teams under various
classes of problem domains. We then use the COM-MTDP model to
compare (both analytically and empirically) two specific coordination
theories (joint intentions theory and STEAM) against optimal coordination, in terms of both performance and computational complexity.},
	author = {D. V. Pynadath and Tambe, Milind}
}
