Coordination Advice: A Preliminary Investigation of Human Advice to Multiagent Teams

Nathan Schurr, Paul Scerri, and Milind Tambe

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.


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