Challenges in building very large teams

  • Authors:
  • Paul Scerri;Katia Sycara

  • Affiliations:
  • Carnegie Mellon University;Carnegie Mellon University

  • Venue:
  • MMAS'04 Proceedings of the First international conference on Massively Multi-Agent Systems
  • Year:
  • 2004

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Abstract

When agents coordinate according to the principles of teamwork they can flexibly, robustly and reliably achieve complex goals in complex, dynamic and even hostile environments. An emerging standard for building such teams is via the use of proxies, which encapsulate domain independent teamwork algorithms in a software module that works closely with a domain specific person, agent or robot and other proxies to create a team. Succesful, previous generations of proxies and teamwork algorithms were limited to small teams because of their reliance on accurate models of the team and task state. By developing new algorithms that rely on probabilistic models we have been able to build teams that are orders of magnitude larger than before. However, key challenges remain before such teams can be deployed in real-world environments, including the need for languages to specify plans for such teams and ways of modeling and predicting team performance in new domains.