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Carnegie Mellon Robotics Institute

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Abstract

This paper introduces a new area of advice that is specific to advising a multiagent team: Coordination Advice. Coordination Advice differs from traditional advice because it pertains to coordinated tasks and interactions between agents. Given a large multiagent team interacting in a dynamic domain, optimal coordination is a difficult challenge. Human advisors can improve such coordination via advice. This paper is a preliminary look at the evolution of Coordination Advice from a human through three different domains: (i) disaster rescue simulation, (ii) a self-maintaining robotics sensors, and (iii) personal assistants in a office environment. We study how the useful advice a person can give changes as the domains change and the number of agents and roles increase.

Notes

Associated Center(s) / Consortia: Center for Integrated Manfacturing Decision Systems

Associated Lab(s) / Group(s): Advanced Agent - Robotics Technology Lab

Number of pages: 6

Note: Invited Paper

Text Reference

N. Schurr, Paul Scerri, and M. Tambe, "Coordination Advice: A Preliminary Investigation of Human Advice to Multiagent Teams," AAAI Spring Symposium on Interaction between Humans and Autonomous Systems over Extended Operation, 2004.

BibTeX Reference

@inproceedings{Scerri_2004_4892,
   author = "N. Schurr and Paul Scerri and M. Tambe",
   title = "Coordination Advice: A Preliminary Investigation of Human Advice to Multiagent Teams",
   booktitle = "AAAI Spring Symposium on Interaction between Humans and Autonomous Systems over Extended Operation",
   year = "2004",
   Notes = "Invited Paper"
}

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