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AGENTS
2001
Springer

Adjustable autonomy in real-world multi-agent environments

10 years 4 months ago
Adjustable autonomy in real-world multi-agent environments
Through 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 teams of agents operating in real-world human organizations. The need for agent teamwork and coordination in such environments introduces novel AA challenges. First, agents must be more judicious in asking for human intervention, because, although human input can prevent erroneous actions that have high team costs, one agent’s inaction while waiting for a human response can lead to potential miscoordination with the other agents in the team. Second, despite appropriate local decisions by individual agents, the overall team ...
Paul Scerri, David V. Pynadath, Milind Tambe
Added 28 Jul 2010
Updated 28 Jul 2010
Type Conference
Year 2001
Where AGENTS
Authors Paul Scerri, David V. Pynadath, Milind Tambe
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