Adjustable autonomy in real-world multi-agent environments

  title={Adjustable autonomy in real-world multi-agent environments},
  author={Paul Scerri and David V. Pynadath and Milind Tambe},
Through {\em adjustable autonomy} (AA), an agent can dynamically vary the degree to which it acts autonomously, allowing it to exploit human abilities to improve its performance, but without becoming overly dependent and intrusive in its human interaction. AA research is critical for successful deployment of multi-agent systems in support of important human activities. While most previous AA work has focused on individual agent-human interactions, this paper focuses on {\em teams} of agents… CONTINUE READING
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