Scaling Teamwork to Very Large Teams

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Scaling Teamwork to Very Large Teams (2004)

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by Paul Scerri , Yang Xu , Elizabeth Liao , Justin Lai , Katia Sycara

Venue:	IN PROCEEDINGS OF AAMAS’04
Citations:	41 - 12 self

BibTeX

@INPROCEEDINGS{Scerri04scalingteamwork,
    author = {Paul Scerri and Yang Xu and Elizabeth Liao and Justin Lai and Katia Sycara},
    title = {Scaling Teamwork to Very Large Teams},
    booktitle = {IN PROCEEDINGS OF AAMAS’04},
    year = {2004},
    pages = {888--895},
    publisher = {}
}

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Abstract

As a paradigm for coordinating cooperative agents in dynamic environments, teamwork has been shown to be capable of leading to flexible and robust behavior. However, when we apply teamwork to the problem of building teams with hundreds of members, fundamental limitations become apparent. We have developed a model of teamwork that addresses the limitations of existing models as they apply to very large teams. A central idea of the model is to organize team members into dynamically evolving subteams. Additionally, we present a novel approach to sharing information, leveraging the properties of small worlds networks. The algorithm provides targeted, efficient information delivery. We have developed domain independant software proxies with which we demonstrate teams at least an order of magnitude bigger than previously published. Moreover, the same proxies proved effective for teamwork in two distinct domains, illustrating the generality of the approach.

Keyphrases

large team cooperative agent novel approach distinct domain efficient information delivery small world network robust behavior central idea dynamic environment team member domain independant software proxy fundamental limitation

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